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Location: Zürich (hybrid) Your Mission You will lead Data & AI engagements for enterprise clients in Switzerland, with a focus on Financial Services, combining strong technical understanding with consulting and delivery leadership. Working closely with our teams in Switzerland, Poland, and India, you will help clients turn their Data & AI ambitions into practical solutions while contributing to new opportunities and the development of our Data & AI service line. Your Responsibilities Leading Data & AI engagements end-to-end, taking ownership of scope, budget, project governance, client steering, and escalations. Guiding and coordinating Swiss, nearshore, and offshore delivery teams and reviewing their output to ensure quality and alignment with client expectations. Contributing hands-on to delivery yourself, from Data & AI advisory and solution architecture to technical design and implementation where it adds the most value. Working directly with client stakeholders and decision-makers to translate business needs into practical Data & AI solutions across strategy and advisory, data platforms on Databricks (including Xebia AXIS), Agentic Data Foundations, GenAI, and agentic AI, and seeing them through from production into managed services. Identifying and shaping new opportunities within existing client accounts in close collaboration with Account Managers and Sales, and contributing to solution design, proposals, statements of work, effort estimates, staffing plans, and service line initiatives such as offerings, accelerators, and demos. Your Superpower 6–9 years of experience in Data & AI, including at least 3 years in client-facing consulting. A background in Data & AI engineering or architecture, with sufficient technical depth to have client conversations, shape solutions, validate estimates, and review the work of nearshore and offshore teams. Proven experience owning the delivery of a Data & AI engagement with a nearshore or offshore team, including scope, budget, escalations, and client steering. Experience working directly with decision-makers and driving Data & AI programs from business case through to delivery. Experience contributing to proposals and estimates. Fluent in German; Swiss German is a plus. EU/EFTA citizenship or an existing Swiss work permit. Existing client connections or relevant experience in financial services firms. Nice to have: Experience with financial services clients in Switzerland. Experience with legacy data warehouse migrations to Databricks. Databricks certification, or willingness to obtain certification within 3-6 months. Experience contributing to practice building, for example through offerings, accelerators, talks, or mentoring. Why Xebia 💡 Innovation potential: At Xebia, the focus is on innovation and pioneering spirit. You can develop your creative ideas and share innovative thinking. 🌱 Personal growth: We believe in personal development for outstanding professional experiences. Unlock your potential and keep growing. 🤝 Community and networking: Xebia is a community of technology enthusiasts. Meet professionals from different fields, share knowledge, and shape innovation together. ⚖️ Flexibility: We value work-life balance. Adjust your working hours and find a balance between your career and personal life. 🎉 Great social events: Ski days, B2Run, spontaneous after-work drinks, Christmas and summer parties – we celebrate together. If you're ready to take the next step in your career, we warmly welcome you to Xebia. We look forward to meeting you! Find more English Speaking Jobs in Switzerland on Arbeitnow

Education: Secondary (high) school graduation certificate. Tasks: Assign sales workers to duties. Order merchandise. Authorize return of merchandise. Establish work schedules. Resolve issues that may arise, including customer requests, complaints and supply shortages. Organize and maintain inventory. Supervise and co-ordinate activities of workers. Manage cash. Oversee payroll administration. Conduct performance reviews. Personal suitability: Client focus. Organized. Reliability. Team player. Dependability. Initiative. Ability to multitask. Employment terms options: Evening. Experience: 1 year to less than 2 years. Employment terms options: Morning. Day. Weekend. Support for persons with disabilities: Participates in a government or community program or initiative that supports persons with disabilities . Support for newcomers and refugees: Participates in a government or community program or initiative that supports newcomers and/or refugees. Support for youths: Participates in a government or community program or initiative that supports youth employment. Support for Veterans: Participates in a government or community program or initiative that supports Veterans . Support for Indigenous people: Participates in a government or community program or initiative that supports Indigenous people. Support for mature workers: Participates in a government or community program or initiative that supports mature workers . Offers phased re-entry options for mature workers who are returning to work after retiring (for example: gradually increasing hours and responsibilities) . Supports for visible minorities: Participates in a government or community program or initiative that supports members of visible minorities. Applies hiring policies that discourage discrimination against members of visible minorities (for example: anonymizing the hiring process, etc.).

Industry: Esso Gas Station / Fuel Retail Employment Type: Full-Time Experience Required: Minimum 4 Years We are seeking an experienced, responsible, and hands-on General Manager to independently manage and oversee all aspects of our privately owned gas station. The ideal candidate must have a minimum of 4 years of experience independently managing a gas station, with comprehensive knowledge of fuel operations, business management, licensing, permits, regulatory compliance, staff supervision, inventory control, customer service, and financial reporting. The General Manager will be responsible for the complete day-to-day operation of the gas station, ensuring smooth business operations, legal compliance, profitability, and excellent customer service with minimal supervision from the owner. Key Responsibilities1. Overall Gas Station Operations Independently manage all daily operations of the gas station. Ensure the station operates efficiently, safely, and in accordance with company policies. Oversee fuel dispensing, convenience store operations, equipment functionality, and general site maintenance. Open and close the station as required and ensure proper shift handovers. Handle operational issues and resolve problems independently. 2. Licences, Permits and Regulatory Compliance Maintain comprehensive knowledge of all licences, permits, registrations, inspections, and regulatory requirements applicable to the gas station. Ensure all required business, fuel-related, environmental, fire safety, occupational health and safety, and other applicable approvals remain valid and up to date. Monitor renewal dates and coordinate timely renewals, inspections, and required documentation. Maintain accurate records and ensure compliance with applicable municipal, provincial, and federal laws. Coordinate with government authorities, inspectors, fuel suppliers, and other regulatory agencies as required. Ensure compliance with applicable fuel-handling, environmental protection, emergency response, and workplace safety requirements. 3. Staff Management and Supervision Recruit, train, schedule, supervise, and evaluate employees. Prepare staff schedules and ensure adequate staffing for all operating hours. Monitor employee attendance, performance, conduct, and productivity. Ensure employees follow company procedures, safety policies, and customer service standards. Handle employee concerns, workplace issues, and disciplinary matters professionally. 4. Financial Management and Reporting Monitor daily sales, fuel sales, convenience store sales, expenses, and operating costs. Oversee cash handling, cash reconciliation, deposits, and point-of-sale transactions. Prepare and review daily, weekly, and monthly operational and financial reports. Monitor profit margins, identify discrepancies, control expenses, and help improve profitability. Maintain accurate financial and operational records and report significant issues to the owner promptly. 5. Fuel Inventory and Supplier Management Monitor fuel inventory levels, deliveries, and stock reconciliation. Coordinate with fuel suppliers and ensure deliveries are scheduled and received correctly. Verify delivery documentation and investigate fuel inventory discrepancies. Monitor convenience store inventory, order supplies, and minimize waste, shortages, and losses. Maintain professional relationships with suppliers and service providers. 6. Equipment, Maintenance and Safety Monitor fuel pumps, underground or aboveground storage systems, payment terminals, refrigeration units, and other station equipment, as applicable. Arrange preventive maintenance, repairs, inspections, and servicing. Ensure safety procedures are followed for fuel storage, dispensing, spills, and emergencies. Maintain a clean, organized, and safe property, including the forecourt, store, washrooms, and surrounding areas. * Report equipment failures, environmental

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. Our customers leverage the Databricks Data Intelligence Platform to power their mission critical Data and AI applications to improve how their organisations leverage data and insights to make better decisions, faster. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics. The Solutions Architect (EDW Migrations) executes on Databricks' strategic product lines to develop, establish and drive product adoption and product market fit to grow customer adoption across EMEA. By working with leadership, product and direct account teams, you will jointly engage customers, foster the necessary relationships and position in-depth approaches to migrating their EDW to the Databricks Intelligence Platform. You will develop the appropriate approach, the guardrails, and the steps needed for customers to successfully deliver on their business objectives. The Solutions Architect (EDW Migrations) is paired with Product Specialists for Data and Governance. Together, you will devise and implement a strategy across key accounts, develop presentations, demos and other assets, and with account teams deliver them such that the field and customers make informed decisions on adoption strategy and its implementation. The impact you will have Lead Regional Migration Strategy: Collaborate with EMEA GTM leadership and account teams to design and drive the technical GTM and adoption strategy for large-scale EDW migrations to the Databricks Intelligence Platform Develop Programmatic and Scalable Migration Processes: Architect and continuously refine programmatic assets and detailed technical guides that enable field teams and partners to execute migrations. Build and Integrate Assessment Tooling: Help maintain, enhance, and direct the development of automated assessment tools from customer engagements. Drive Tier-3 Technical Championship: Act as the ultimate technical escalation point for highly complex, strategic, or stalled migrations in must-win accounts across EMEA. Enable and Scale the Regional teams: Scale the presales migration practice by mentoring and coaching the EMEA community of Solutions Architects (SAs) and Specialist SAs (SSAs) to ensure scale. Bridge Field Insights and Product R&D: Serve as a primary technical feedback loop to Product Management and Engineering. Establish Industry Thought Leadership: Author whitepapers, publish technical blogs, and deliver high-impact presentations at public forums (such as the Data + AI Summit) to position the Databricks Intelligence Platform as the premier platform for enterprise database modernization. Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments. Competencies & Responsibilities 8+ Years of Customer-Facing Experience in a customer-facing pre-sales, architect, or consulting role influencing technical executives (CIOs, CISOs, DBAs, and Platform Leads) and driving high-level database modernization strategy. Legacy Data Warehouse & Modernization Architecture understanding of legacy EDW systems (any of Teradata, Netezza, Snowflake, Synapse, Redshift, and Exadata) and architectures required to successfully transition workloads to the Databricks Data Intelligence Platform. Mastery of migration migrations scope & progression taking customers from EDW to the full capabilities of the Data Intelligence Platform. Demonstrated competence in the Lakehouse architecture including hands-on experience with Apache Spark, Python and SQL Excellent communication skills; both written and verbal Public Cloud Architecting: Hands-on experience designing and implementing big data architectures within major public cloud environments (AWS, Azure, or GCP) Strategic Enablement & Community Mentorship Experience collaborating with Professional Services and Global Systems Integrators to standardize migration delivery methodologies and ensure smooth handoffs. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Find Jobs in United Kingdom on Arbeitnow

About Us Hawk is the leading provider of AI-supported anti-money laundering and fraud detection technology. Banks and payment providers globally are using Hawk's powerful combination of traditional rules and explainable AI to improve the effectiveness of their AML compliance and fraud prevention by identifying more crime while maximizing efficiency by reducing false positives. With our solution, we are playing a vital role in the global fight against Money Laundering, Fraud, or the financing of terrorism. We offer a culture of mutual trust, support and passion – while providing individuals with opportunities to grow professionally and make a difference in the world. Your Mission As an Implementation Specialist at Hawk, your responsibility is to transform customer requirements into a functioning solution that helps them achieve their business objectives around transaction monitoring, customer screening and fraud detection, alongside cutting-edge AI technologies. You start with a signed contract and support the customer until go-live. This includes translating policies, regulatory obligations and risk factors into Hawk's setup, data mapping, workflow configuration, UAT support and ensuring that key project timelines and milestones are met. You support our customers in realising true value by detecting more financial crime, allowing investigators to focus on what matters instead of drowning in false positives, and adopting state-of-the-art AI technologies. Key Responsibilities Requirements and needs assessment: gather and analyse the customer's AML, fraud and screening requirements and advise on best-practice configuration. Configuration: translate policies, screening algorithms, regulatory requirements and risk factors into Hawk's setup, covering rules, screening, customer risk rating and workflows. Data mapping and integration: lead the technical deployment and integration with the customer's systems, via API or batch mechanisms. Testing and go-live: support the customer through testing, UAT and sign-off, troubleshoot issues, and support a successful transition to a production environment. Training and enablement: deliver training to the customer's teams from a functional as well as technical standpoint. Project management: plan and run the implementation from signature to go-live on time and within scope, with documentation and regular stakeholder updates, combining hands-on work with project leadership. Primary contact: be the first point of contact for implementation questions and issues. Collaboration and feedback: work closely with Customer Value Partners for a smooth implementation, and bring actionable customer feedback and gaps to Product, Development and Hawk's GTM organisation. Document every configuration decision and the reasoning behind it, so the setup holds up when the customer's auditor or regulator asks why a rule was set the way it was. Manage each implementation task and the implementation success as an outcome you own, as directed by our Customer Value Partner, resulting in activity completion and a go-live on the dates you committed to. Your Profile 6+ years in implementation consulting or solution consulting, with at least 3 of those years hands-on implementing AML, fraud or screening solutions. Subject matter expertise in AML and compliance. You are familiar with key typologies and patterns, the regulatory expectations behind them, and how monitoring programmes as well as AI get examined. You can confidently stand in front of an MLRO and discuss and defend a rule set. This is a must-have, not a nice-to-have. Hands-on data skills: SQL, APIs, CSV and JSON, and data modelling. You're familiar with standardised payment message formats, including SWIFT MT and ISO 20022, SEPA and card data. Integration literacy. You don't write production code, but you're at home with APIs, JSON payloads, SFTP configurations as well as SSO. Proven track record of taking complex implementations to go-live on time, ideally several in parallel, with banking customers or other financial institutions. Stakeholder alignment. You ensure that internal and external parties both have the information they need, keep them aligned and manage expectations. Able to explain complexity simply. Imagine data models for compliance leads, fraud typologies for data engineers. You do it clearly in writing and in the room, in fluent English. A degree in computer science, information systems, engineering, finance or a related field, or equivalent practical experience. Bonus Business-fluent German, for working with our DACH customers. CAMS (or equivalent) certification, or time spent in a second-line compliance or MLRO team. Builds constructive relationships with customers and stays calm and under pressure Builder mentality: works independently and brings structure to ambiguity where no established process exists, taking the initiative to define one. Is a resourceful problem-solver who investigates unknowns and tests system behaviour. Knows when and whom to escalate. Manages expectations proactively. Flags timeline and scope risks early, quantifies them, offers phased options and aligns Sales and Customer Success. Handles product gaps transparently. Clarifies the underlying (regulatory) requirement, offers workarounds with their trade-offs, feeds back to Product and doesn't commit to unconfirmed dates . You use AI tools such as Claude in your daily workflow to speed up mapping, documentation and analysis, and you have opinions about where they help and where they don't. Find Jobs in Germany on Arbeitnow

FEQ128R40 At Databricks, we are on a mission to empower our customers to solve the world's toughest data and AI problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will partner with Sales, Solutions Architecture, and Field Engineering to accelerate adoption and growth of the Databricks platform. You will serve as a trusted technical advisor, helping customers design, implement, scale, and optimize data and AI solutions that deliver measurable business value. This is a technical and customer-facing role focused on architecture, technical strategy, and customer outcomes. You will influence technical execution across complex use cases, guide architectural decisions, and align Databricks, customer, and partner teams from technical win through production and adoption. The Impact You Will Have Define and influence technical execution strategies across complex use cases and multiple workstreams within strategic accounts Serve as a trusted technical advisor to customer technical leads and architects, leading architecture discussions and guiding technical decisions Design secure, governed, and scalable Databricks architectures while balancing performance, cost, reliability, and long-term needs Build and demonstrate working solutions, prototypes, and reusable technical assets that accelerate customer outcomes Anticipate platform maturity and scaling needs and establish best practices for security, governance, and operational excellence Drive adoption and consumption by influencing architecture, unblocking delivery, and connecting technical execution to business outcomes Partner across Databricks, customer, and implementation teams to align resources, manage risks, and accelerate delivery Mentor peers and contribute reusable technical guidance, frameworks, and enablement across the organization What We Look For 5+ years in solutions architecture, solutions engineering, technical consulting, professional services, data engineering, or a related technical role Experience in influencing technical strategy and architecture across complex customer use cases or multiple workstreams Strong coding proficiency in Python, SQL, Scala, or similar languages, with the ability to build, debug, and validate technical solutions Deep understanding of distributed data systems, data engineering, analytics, data warehousing, AI/ML, and modern cloud architectures Experience designing secure, governed, scalable, and production-ready data solutions Ability to solve ambiguous technical problems, evaluate trade-offs, and validate solutions through structured analysis or experimentation Experience leading architecture discussions with technical leads, architects, and senior customer stakeholders Strong understanding of platform operational excellence, including security, governance, performance, reliability, and cost optimization Demonstrated ability to drive customer adoption, consumption, and measurable business outcomes through technical leadership Strong stakeholder management and cross-functional leadership skills, with the ability to align teams without formal authority Bachelor's degree in Computer Science, Engineering, or equivalent experience Nice to Have Databricks experience or certification Developing expertise in a technical specialization such as AI/ML, data engineering, streaming, data warehousing, governance, or migrations Experience with AWS, Azure, or GCP and production cloud deployments Experience creating reusable technical frameworks, demos, or enablement that scale across teams About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Find more English Speaking Jobs in Switzerland on Arbeitnow

FEQ128R38 At Databricks, we are on a mission to empower our customers to solve the world's toughest data and AI problems by utilizing the Databricks Data Intelligence Platform. As a Sr. Delivery Solutions Architect, you will partner with Sales, Solutions Architecture, and Field Engineering to accelerate the adoption, growth, and strategic impact of Databricks with our most complex customers. You will serve as a senior technical advisor, helping customers design, implement, scale, and optimize complex data and AI solutions across business units, geographies, and product areas. This is a highly technical and strategic customer-facing role. You will define technical execution strategies for high-value accounts, drive architectural alignment across complex use cases, and orchestrate Databricks, customer, and partner teams to deliver measurable outcomes. You will build trusted relationships with senior technical and executive stakeholders while contributing expertise, frameworks, and best practices that scale beyond individual customer engagements. The Impact You Will Have Define technical execution strategy across high-value, complex customer accounts spanning multiple use cases, business units, geographies, or product areas Serve as a senior technical advisor to customer architects, technical leaders, and Director/VP-level stakeholders Design and influence secure, governed, scalable architectures while balancing performance, cost, reliability, and long-term platform strategy Orchestrate Databricks, customer, and implementation partner teams to align technical execution and accelerate strategic outcomes Anticipate platform maturity and scaling needs and establish technical standards for security, governance, developer experience, and operational excellence Drive adoption, consumption, and measurable business outcomes through technical strategy and execution Lead complex technical escalations spanning multiple systems, teams, or workloads Build reusable technical frameworks, solutions, and assets that scale across customers, teams, or regions Mentor DSAs and contribute to technical enablement, specialization, and thought leadership What We Look For 8+ years in solutions architecture, technical consulting, professional services, data engineering, or a related senior technical role Demonstrated experience leading technical strategy and architecture for high-value or highly complex customer environments Experience navigating complex programs across multiple business units, product areas, geographies, or technical workstreams Deep expertise in one or more Data and AI domains, with strong knowledge of distributed data systems and cloud architectures Strong coding proficiency in Python, SQL, Scala, or similar languages Experience designing secure, governed, scalable, and production-ready architectures across cloud and enterprise environments Ability to solve complex technical problems using first-principles thinking, structured analysis, and technical experimentation Demonstrated ability to influence senior technical stakeholders and executive audiences and de-escalate complex customer situations Strong cross-functional leadership and stakeholder management skills, with the ability to orchestrate teams without formal authority Track record of driving customer adoption, consumption, and measurable business outcomes through technical leadership Experience creating reusable technical frameworks, assets, or programs that extend impact beyond individual customer engagements Bachelor's degree in Computer Science, Engineering, or equivalent experience Nice to Have Databricks experience or certification Recognized expertise in a Data and AI specialization or competitive technology Experience influencing product direction through structured customer feedback External technical thought leadership through blogs, conferences, summits, seminars, or industry events Experience mentoring technical talent or leading enablement across teams or regions About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Find Jobs in Switzerland on Arbeitnow

Forward Deployed AI Engineer Build end-to-end products on a solid data foundation, with AI as a force multiplier. Data Practice | Remote (Poland) | Senior About TechTorch At TechTorch , we're building the future of intelligent work. Our mission is to help companies design, build, and deploy AI agents that automate complex, real-world workflows — delivering reliability, measurable ROI, and massive efficiency gains. Here, you won't just be playing with prompts or running endless proofs of concept. You'll ship production-grade AI systems that solve real problems across industries. You'll join a hands-on, fast-moving, ownership-driven team that thrives on building quickly, iterating fast, and seeing results in days — not months. About the Practice TechTorch's Data Practice sits at the intersection of enterprise data and applied AI. We design and build AI-native systems that don't just analyze the past — they actively drive decisions. Our work spans data infrastructure and pipelines, intelligent automation, and full-stack AI applications across industries. We work the way the best client-delivery teams now operate: small teams, deep ownership, no hand-offs at boundaries. We take problems from a client whiteboard to production, and we let AI do the heavy lifting wherever it earns its place. The Role We're looking for an engineer who builds across the full stack and owns the data underneath it. You can sit in a client session, shape the architecture, design the data foundation, and ship the application that runs on top of it — without handing off at the boundaries. The work spans client delivery and internal accelerator development. You map the problem, structure the solution, and own the outcome from end to end. AI coding agents are central to how we build — not a novelty, but the daily layer that lets a small team cover a lot of ground. What You'll Do Own work end to end — from discovery and solution shaping through system design, build, and production deployment. Design and build the data foundation: data models, schema design, dimensional modeling, ETL/ELT pipelines, and slowly changing dimensions (SCD) that hold up in production. Build full-stack applications on top of that foundation — Python/FastAPI services and Next.js frontends that make data and AI workflows usable. Use AI coding agents (Claude Code or equivalent) as a primary build accelerator to move from spec to working software quickly, without sacrificing judgment or quality. Design and build AI capabilities where they fit — RAG pipelines, agentic workflows, and LLM-in-the-loop processing — and compose them via MCP servers, Skills, and Plugins. Orchestrate pipelines and automation with tools like Airflow, Dagster/Prefect, Celery, or Temporal — choosing the right tool for the job. Stand up and own CI/CD and cloud deployments on AWS and Azure. Translate ambiguous client requirements into clear designs and communicate trade-offs to both technical and business audiences. Contribute reusable accelerators and technical assets back to the Data Practice. Must Have We're looking for genuine production depth across data engineering and full-stack development — not surface familiarity with either. Data Engineering Foundation Data modeling and schema design — dimensional modeling, normalization trade-offs, and EDW/warehouse schema design you can defend. Hands-on data pipeline experience — ETL/ELT design across batch and incremental loads, built and maintained in production (not just SQL scripts on a schedule). Slowly Changing Dimensions (SCD) and change-data handling — knows the patterns and when each applies. dbt Experience— modular SQL transformations, tests, documentation, and incremental strategies. Advanced SQL and at least one modern data platform in depth (e.g., Snowflake, Databricks, or a comparable cloud warehouse/lakehouse). Data quality thinking — testing, validation, and lineage treated as first-class, not afterthoughts. Full-Stack AI Product Development Python as a primary language — services, automation, and data work alike. FastAPI — async REST API design, dependency injection, testing. A modern frontend, ideally Next.js — component architecture, SSR, state management, and real UX sensibility. PostgreSQL — schema design, query optimization, indexing. System design — can architect from a blank page: services, boundaries, trade-offs, and scale. AI-paired engineering — uses an agentic coding tool (Claude Code, Cursor, or comparable) as a genuine daily workflow accelerator, and can speak concretely to how. CI/CD and cloud deployment ownership on AWS or Azure, without heavy support. Ways of Working Comfortable in client-facing delivery — can represent TechTorch technically and translate between business and engineering. Customer-first mindset — anchors decisions in what the stakeholder is actually trying to accomplish, and can move fluidly between the engineer's view and the business owner's in the same conversation. End-to-end ownership instinct — takes a problem from discovery to production and owns the outcome, rather than passing it along at each handoff. Nice to Have Not required to apply — but these are the things that make a candidate stand out. Standout differentiator — Commercial data fluency: Experience evaluating how commercial data flows across CRM (ideally Salesforce) and ERP (ideally NetSuite) from opportunity to order to invoice, with the ability to diagnose, document, and resolve inconsistencies. Agentic AI depth — LangGraph or comparable: multi-agent coordination, tool use, memory, and state management. RAG engineering — retrieval strategies, vector stores, chunking, re-ranking, and evaluation. Experience in a consulting or client-delivery environment, or a forward-deployed / embedded engineering role. Workflow orchestration breadth across multiple tools (Airflow, Dagster, Prefect, Temporal, ADF, Databricks Workflows). Streaming data patterns — Kafka, Spark Streaming, or Flink. Vector databases — Pinecone, Weaviate, Qdrant, or pgvector. Experiment tracking — MLflow, Weights & Biases, or similar. Contributions to open-source AI or data tooling, or to internal accelerators and frameworks. Multi-cloud or hybrid cloud architecture exposure. You Might Be a Fit If... You're comfortable designing a data model in the morning and shipping a FastAPI + Next.js feature on top of it in the afternoon. You treat an AI coding agent as a force multiplier — you've genuinely changed how you build, not just turned on autocomplete. You can explain an SCD strategy to an engineer and a data-quality risk to a business stakeholder in the same conversation. You've shipped real things in production — not just demos or PoCs. You're opinionated about system and data design, and can back it up. What We Offer Fully remote — work from anywhere, globally. Semi-annual team offsites — we come together in person at least twice a year to connect, recharge, and do the work that's better face-to-face. High-autonomy, high-ownership work across the full arc of real client problems — not toy datasets or boxed-in tickets. A team that takes AI tooling seriously and expects you to use it, not just name-drop it. Access to the full modern data and AI stack — no one-tool shops. Room to grow toward data architecture, platform leadership, or AI engineering depth, depending on where you want to take it. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Us Hawk is the leading provider of AI-supported anti-money laundering and fraud detection technology. Banks and payment providers globally are using Hawk's powerful combination of traditional rules and explainable AI to improve the effectiveness of their AML compliance and fraud prevention by identifying more crime while maximizing efficiency by reducing false positives. With our solution, we are playing a vital role in the global fight against Money Laundering, Fraud, or the financing of terrorism. We offer a culture of mutual trust, support and passion – while providing individuals with opportunities to grow professionally and make a difference in the world. Your Mission As an Implementation Specialist at Hawk, your responsibility is to transform customer requirements into a functioning solution that helps them achieve their business objectives around transaction monitoring, customer screening and fraud detection, alongside cutting-edge AI technologies. You start with a signed contract and support the customer until go-live. This includes translating policies, regulatory obligations and risk factors into Hawk's setup, data mapping, workflow configuration, UAT support and ensuring that key project timelines and milestones are met. You support our customers in realising true value by detecting more financial crime, allowing investigators to focus on what matters instead of drowning in false positives, and adopting state-of-the-art AI technologies. Key Responsibilities Requirements and needs assessment: gather and analyse the customer's AML, fraud and screening requirements and advise on best-practice configuration. Configuration: translate policies, screening algorithms, regulatory requirements and risk factors into Hawk's setup, covering rules, screening, customer risk rating and workflows. Data mapping and integration: lead the technical deployment and integration with the customer's systems, via API or batch mechanisms. Testing and go-live: support the customer through testing, UAT and sign-off, troubleshoot issues, and support a successful transition to a production environment. Training and enablement: deliver training to the customer's teams from a functional as well as technical standpoint. Project management: plan and run the implementation from signature to go-live on time and within scope, with documentation and regular stakeholder updates, combining hands-on work with project leadership. Primary contact: be the first point of contact for implementation questions and issues. Collaboration and feedback: work closely with Customer Value Partners for a smooth implementation, and bring actionable customer feedback and gaps to Product, Development and Hawk's GTM organisation. Document every configuration decision and the reasoning behind it, so the setup holds up when the customer's auditor or regulator asks why a rule was set the way it was. Manage each implementation task and the implementation success as an outcome you own, as directed by our Customer Value Partner, resulting in activity completion and a go-live on the dates you committed to. Your Profile 6+ years in implementation consulting or solution consulting, with at least 3 of those years hands-on implementing AML, fraud or screening solutions. Subject matter expertise in AML and compliance. You are familiar with key typologies and patterns, the regulatory expectations behind them, and how monitoring programmes as well as AI get examined. You can confidently stand in front of an MLRO and discuss and defend a rule set. This is a must-have, not a nice-to-have. Hands-on data skills: SQL, APIs, CSV and JSON, and data modelling. You're familiar with standardised payment message formats, including SWIFT MT and ISO 20022, SEPA and card data. Integration literacy. You don't write production code, but you're at home with APIs, JSON payloads, SFTP configurations as well as SSO. Proven track record of taking complex implementations to go-live on time, ideally several in parallel, with banking customers or other financial institutions. Stakeholder alignment. You ensure that internal and external parties both have the information they need, keep them aligned and manage expectations. Able to explain complexity simply. Imagine data models for compliance leads, fraud typologies for data engineers. You do it clearly in writing and in the room, in fluent English. A degree in computer science, information systems, engineering, finance or a related field, or equivalent practical experience. Bonus Business-fluent German, for working with our DACH customers. CAMS (or equivalent) certification, or time spent in a second-line compliance or MLRO team. Builds constructive relationships with customers and stays calm and under pressure Builder mentality: works independently and brings structure to ambiguity where no established process exists, taking the initiative to define one. Is a resourceful problem-solver who investigates unknowns and tests system behaviour. Knows when and whom to escalate. Manages expectations proactively. Flags timeline and scope risks early, quantifies them, offers phased options and aligns Sales and Customer Success. Handles product gaps transparently. Clarifies the underlying (regulatory) requirement, offers workarounds with their trade-offs, feeds back to Product and doesn't commit to unconfirmed dates . You use AI tools such as Claude in your daily workflow to speed up mapping, documentation and analysis, and you have opinions about where they help and where they don't. Find more English Speaking Jobs in United Kingdom on Arbeitnow

TechTorch Data Practice Data Architect Architect end-to-end products on a solid data foundation, with AI as a force multiplier. Data Practice | Remote (Global) | Senior About the Practice TechTorch's Data Practice sits at the intersection of enterprise data and applied AI. We design and build AI-native systems that don't just analyze the past — they actively drive decisions. Our work spans data infrastructure and pipelines, intelligent automation, and full-stack AI applications across industries. We work the way the best client-delivery teams now operate: small teams, deep ownership, no hand-offs at boundaries. We take problems from a client whiteboard to production, and we let AI do the heavy lifting wherever it earns its place. The Role As a Data Architect, you will be responsible for designing, deploying, and governing modern data architectures that support enterprise-scale analytics, reporting, and operational use cases. You'll define how data is stored, integrated, accessed, and secured across systems — aligning data strategy with business priorities. You will collaborate with both business and technology stakeholders to design scalable and efficient data platforms, define data modeling standards, and enable seamless integration across the enterprise. Your work will ensure data integrity, security, and usability, serving as a foundation for advanced analytics and AI initiatives. What You'll Do Develop and maintain enterprise data architecture, including models, flow diagrams, and integration frameworks Define and enforce architecture standards, governance models, and documentation practices Design scalable, flexible solutions that align with modern data warehousing and cloud-native best practices Drive the design and implementation of data integration pipelines and APIs across systems Lead efforts in data modeling, database design, and architecture optimization Collaborate with data engineers, analysts, and developers to ensure architectural consistency and performance Mentor and provide technical direction to engineers on the Data Practice team, including full-stack engineers building applications on top of the data foundation Oversee data quality, lineage, and security strategies across the organization Provide guidance on big data technologies, ETL platforms, and modern cloud ecosystems Support strategic decisions through architectural reviews, proofs of concept, and solution roadmaps Who You Are We're looking for high-caliber professionals who meet the following criteria: 7+ years of experience in data architecture, data engineering, or related roles in complex environments Demonstrated experience designing robust technical solutions for clients or customers Experience serving as a technical lead - mentoring, coaching, and setting technical direction for data engineers, analysts, and other technical resources Strong background in data modeling (conceptual, logical, physical), warehousing (e.g., Snowflake, Redshift, BigQuery), and database design Familiarity with modern data transformation practices (e.g., dbt) and dimensional modeling patterns, including Slowly Changing Dimensions (SCD) Proficient in data modeling tools (e.g., ER/Studio, Erwin) and relational/NoSQL databases (e.g., SQL Server, Oracle, MongoDB) Fluent with AI coding agents (e.g., Claude Code, Cursor) as production accelerators, with the credibility to evaluate and coach engineers on how they use them Skilled in applying AI/ML to complex data challenges, including designing architectures for generative AI and RAG solutions, and automating data pipelines Experience with CRM and/or ERP ecosystems (e.g., Salesforce, NetSuite) and analyzing data to uncover quality issues, identify revenue leakage and/or drive operational efficiency Knowledge of modern cloud data stacks (e.g., Azure, AWS, GCP) Hands-on experience with ETL/integration tools (e.g., Talend, Informatica) Familiarity with building and/or designing reporting solutions for business stakeholders (e.g., Power BI, Tableau) Comfortable contributing to business development activities such as supporting proposals, scoping projects, and growing accounts Strategic mindset with a focus on business value, scalability, and performance Excellent communication skills and ability to influence cross-functional stakeholders Adaptable, collaborative, and continuously improving in a fast-paced delivery environment Our Values Our values reflect the DNA of the private equity-backed companies we serve — focused on speed, ownership, accountability, and results: Client First – We focus relentlessly on delivering outcomes that create value for our clients We, Not Me – We win together. Collaboration drives transformation at scale Get Stuff Done – We execute with speed and precision — because in PE, time matters AI First – We embed AI at the core, enabling scalable, high-leverage solutions Own It – We take accountability for results, delivering on what we promise Agile Mindset – We adapt quickly and proactively seek better ways to move forward What We Offer Flexible, remote-first work environment with high-performance expectations and autonomy. Semi-annual team offsites — we come together in person at least twice a year to connect, recharge, and do the work that's better face-to-face. A team that takes AI tooling seriously and expects you to integrate it into your work. High-autonomy, high-ownership work across the full arc of real client problems. Access to the full modern data and AI stack — no one-tool shops. Exposure to top-tier private equity firms and their portfolio companies. Find Jobs in United Kingdom on Arbeitnow

Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What is the opportunity? Every go-to-market decision at Intercom, who we target, who owns the account, what we know about them, what we should say next - rests on a foundation of account and contact data. Getting that foundation right is one of the highest-leverage engineering problems in the company: a single account hierarchy fix can re-route territory, pipeline credit and forecast for thousands of accounts at once. This role owns that foundation. You will build and run the systems that decide what an account is , resolving duplicates, stitching subsidiaries into corporate hierarchies, sourcing new accounts and contacts into our CRM, and enriching them with firmographic, technographic and intent signals. Increasingly using LLMs and web research rather than off-the-shelf vendors. Your work is used daily by Sales, Marketing, Partnerships, Sales Ops and Finance, and directly shapes how efficiently Intercom grows. You will sit in the Data group and partner extremely closely with GTM Systems, RevOps and the frontline teams. This is a role for an engineer who wants to be in the business, not adjacent to it. Someone who gets energy from a rep saying "this list is exactly right" and from watching a pipeline they built turn into revenue. What will I be doing? Owning account identity. Building and improving the entity-resolution layer that decides when two records are the same company: domain and firmographic matching, confidence scoring, and the merge/dedupe pipelines that keep Salesforce clean at scale. Modelling account hierarchy. Designing the organisation spine that links accounts to their parent, top operating parent and ultimate corporate parent. Building account sourcing pipelines. Turning market definitions into ranked, deduplicated, CRM-ready account lists: sourcing from third-party and internal signals, scoring fit, and pushing accounts into Salesforce with the right owner and the right metadata. Building contact sourcing and enrichment pipelines. Finding the right people at target accounts, verifying and enriching them, respecting privacy and consent requirements, and delivering them into the tools reps and marketers actually work in. Building LLM-powered enrichment. Extending our enrichment framework — LLM jobs with web search and crawling tools across multiple providers, to answer questions no vendor sells: what support channels does this company run, are they hiring CS or sales roles, do they ship an AI product, how ready are they for Fin. Making the data usable. Landing everything in well-modelled, well-tested dbt models in Snowflake orchestrated in Airflow, and syncing it out to Salesforce, Marketo, Clay and the rest of the GTM stack. Owning quality and trust. Instrumenting your pipelines with tests, alerts and reconciliation so problems surface before a rep finds them, and being the person GTM comes to when a number looks wrong. Partnering on the problem, not the ticket. Sitting with Sales, Marketing and Ops to understand what they are actually trying to do, then proposing the data foundation that unlocks it. What skills do I need? A genuine interest in growing the business and a real affinity for GTM teams. You are curious about how sales and marketing work, comfortable in a room full of reps, and motivated by commercial outcomes rather than only technical ones. Experience with the modern data stack: dbt, a cloud warehouse (we use Snowflake), and a DAG orchestrator (we use Airflow). Experience building with LLMs in production: prompt design and evaluation, tool/function calling, web search and crawling, cost and latency control. Experience with entity resolution, identity or deduplication problems — matching messy real-world records, and reasoning about precision/recall trade-offs where a false merge has a real business cost. Hands-on experience integrating with SaaS APIs and business systems, especially Salesforce: reading from them, writing back to them. Strong communication: you can explain a hierarchy change to a CRO and a merge heuristic to an engineer, on the same day. A growth mindset and eagerness to learn — the tooling in this space is changing fast. Nice to haves Experience with GTM data vendors and tooling — ZoomInfo, Apollo, Clearbit, Clay, Crossbeam, Marketo, Census/Fivetran, Gong. Experience with territory design, account scoring, propensity models or ICP definition. Exposure to privacy and compliance considerations around contact data (GDPR, CCPA, consent management). #LI-Hybrid Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. Find Jobs in United Kingdom on Arbeitnow

Sales associate / Part-Time Location: Niagara on The Lake, On. Job description The role of a Sales Associate is to deliver an exceptional customer store experience through knowledgeable, friendly and efficient service while following the direction of the Store Management team. RESPONSIBILITIES: Customer Service Responsible for engaging and connecting with each customer to provide a positive shopping experience Recognize customer cues in order to assess their needs and enhance their shopping experience Seek and confidently communicate current product features and benefits to customers Ensure all customers have a quick and efficient cash and wrap experience while following company guidelines Contribute to a positive work environment Drive for Results Achieve or exceed established daily sales goals Promote brand loyalty programs Actively participate and respond to performance coaching and feedback Being on time at his shifts Respect policies and procedures QUALIFICATIONS: Previous experience in retail preferred Ability to communicate effectively with customers and store team Flexible availability Ability to work in a fast-paced and deadline-oriented environment Must be able to perform all essential job functions identified in the ?Sales Associate essential job functions? Hatley Little Blue House is a leading company designing and manufacturing better apparel and giftware for the whole family. In business for 30 years, Hatley is best known for its fun, well designed and nature-inspired products. It?s Hatleys? mission to manufacture quality garments in an ecologically responsible way, and to give back to the community. Sold in 30 corporately owned stores, online, and in over 4000 independent boutiques around the world, Hatley is one of the fastest growing retail brands. With a dedicated and passionate team of motivated people, Hatley offers an inspiring and dynamic work environment. Visit our website and read more about Hatleys? fun-filled story. Work remotely No Job Types: Part-time, Permanent Pay: From $17.60 per hour Benefits: Store discount Work Location: In person