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Nomios' mission is to build a secure and connected future. Organisations across the globe depend on us to help secure and connect their digital infrastructures. As part of our continued UK growth, we are expanding our Professional Services capability and seeking a Security Engineering Consultant to deliver specialist security engineering and operations consultancy across our customer base. This is a hands-on technical role within the Security Operations domain, focused on helping customers improve and automate their SOC functions, tooling, and detection capabilities. You will work across a range of technologies and engagements, from SOAR and SIEM implementation through to vulnerability management, exposure management, and process automation. Your role as Senior Security Engineering Consultant The Security Engineering Consultant role sits within the Security Operations Team, working directly with the Nomios SOC Engineering team. This is a senior, customer-facing Professional Services role within our Security Engineering function, focused on detection engineering and automation. You will lead the design and delivery of detection and response capabilities across SIEM, XDR and SOAR platforms. This includes building detection rules, developing automations, and creating operational playbooks that support effective SOC outcomes. A key aspect of the role is ownership of the detection as code approach, ensuring detections and automations are developed, structured and delivered in a consistent and scalable way. Working directly with customers, you will define detection strategies, design use cases aligned to MITRE ATT&CK, and guide improvements in visibility, coverage and response maturity. You will work closely with platform onboarding and engineering teams, supplementing them with specialist expertise in detection engineering and automation, rather than focusing on platform deployment itself. The role combines hands-on engineering with advisory responsibilities, with a clear focus on delivering high-quality outcomes and enabling customers to operate and evolve their detection capabilities. Responsibilities Key responsibilities of the role include: Deliver Design and deliver detection rulesets across SIEM and XDR platforms Develop and tune detection logic using KQL or equivalent query languages Design detection use cases aligned to MITRE ATT&CK and real-world attack techniques Map customer log sources to detection use cases to assess coverage and identify gaps Design and implement SOAR automations, integrations and response workflows Develop and document customer incident response playbooks aligned to detection outputs Translate threat intelligence and operational learnings into improved detections and automations Deliver detection as code pipelines, including structured use case development and versioning approaches Produce clear technical and customer-facing deliverables, including detection strategies, use case catalogues and coverage assessments Collaborate Work directly with customers as a trusted technical consultant Lead workshops covering detection engineering, use case design and SOC maturity Guide customers on improving detection coverage and aligning to MITRE ATT&CK Clearly explain detection strategies, gaps and recommendations to both technical and non-technical stakeholders Work closely with platform onboarding and engineering teams to ensure smooth integration of delivered detections and automations Support SOC teams by ensuring delivered outputs are practical, usable and aligned to operational workflows Improve Contribute to the continuous evolution of detection use cases, playbooks and automation patterns Support development of reusable detection content and delivery standards Contribute to lab work, testing and validation of detection approaches Identify gaps in telemetry, logging and enrichment, and provide recommendations to strengthen detection outcomes Job Requirements At Nomios, we're looking for #smartpeople who bring #highenergy, curiosity and a strong desire to learn. If you're someone who enjoys working collaboratively, communicates clearly and thrives in a fast-paced environment, this could be the perfect opportunity for you. Required Skills and Experience Strong hands-on experience with SIEM engineering, including developing and tuning detection rules, with Microsoft Sentinel preferred Experience writing detection logic using KQL or similar query languages Proven experience designing and implementing SOAR automations and playbooks such as Logic Apps, Cortex XSOAR or similar Scripting and automation capability using Python, PowerShell or similar, including working with APIs Experience designing detection use cases aligned to MITRE ATT&CK Strong understanding of detection coverage and how log sources map to the attack lifecycle Experience with XDR or EDR platforms such as Microsoft Defender, CrowdStrike or Cortex Understanding of cloud environments, particularly Azure, and associated security telemetry Experience working in customer-facing or consultancy roles Strong communication skills, with the ability to explain technical concepts clearly Technical Competencies SIEM and XDR platforms, including Microsoft Sentinel, Microsoft Defender, Palo Alto XSIAM or XDR, CrowdStrike and SentinelOne SOAR development, including automation and playbook design using platforms such as Palo Alto XSOAR or similar Scripting and integration using Python, PowerShell or similar, including API-driven automation Detection engineering aligned to MITRE ATT&CK, including use case design, ruleset development and coverage assessment Log source mapping and normalisation to support detection use cases Network Detection and Response technologies such as Vectra AI, Corelight or similar Cloud security and telemetry, particularly within Azure environments Threat intelligence integration and enrichment to support detection and response Development of customer playbooks and response workflows aligned to SOC operations General awareness of emerging technologies, including AI-driven security tooling and their application within detection and response Job Specifics Location: This is a hybrid role, while the role is primarily remote, typically 70% to 80% percent of the time, there will be a requirement to travel to customer sites and attend the Basingstoke office as required to support delivery, workshops and engagements. (free hot & cold drinks, breakfast items, snacks, lunches, and regular takeaway Fridays are provided to all staff in the office!). Hours are full-time: Monday - Friday, 9:00am - 5:30pm. There is no on-call requirement for this position. Why would you choose to come and work with us? You will be part of a collaborative engineering environment, working across a wide range of customer environments and technologies. The role offers exposure to real-world threats, modern detection approaches, and the opportunity to shape how Security Operations capabilities are designed and delivered. Nomios offers a competitive salary, performance-based bonuses, and industry-leading benefits, along with the opportunity to make a genuine impact on how we and our customers build and run Security Operations. Nomios is an equal opportunity employer and is committed to creating and sustaining an environment in which everyone is provided with an equal opportunity to grow and develop, and no individual will be unjustly discriminated against. This includes, but is not limited to, discrimination because of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion and belief, sex and sexual orientation. Find Jobs in United Kingdom on Arbeitnow

Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all with you in control. Whether you're buying or selling, Ironclad unifies the entire process on one intelligent platform, providing leaders with the visibility they need to stay one step ahead. That's why the world's most transformative organizations, from Rivian to the World Health Organization and the Associated Press, trust Ironclad to accelerate their business. We're consistently recognized as a leader in the industry: a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work, and one of Fast Company's Most Innovative Workplaces. Ironclad has also been named to Forbes' AI 50 and Business Insider's list of Companies to Bet Your Career On. We're backed by leading investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton. For more information, visit www.ironcladapp.com or follow us on LinkedIn. This role sits within Ironclad's Technical Platform Expert team and is focused initially on hands-on technical support. You will help customers troubleshoot product and platform issues, own cases through resolution or escalation, and build deep expertise in Ironclad. Over time, there will be opportunities to expand into more proactive, consultative work supporting customer adoption and Success. As a Technical Platform Expert, Support , you will deliver end-to-end consultative guidance and technical support that helps customers successfully adopt and maximise the value of the Ironclad platform. This unified role brings together the proactive, value-driving mechanics of Customer Success with deep-dive technical problem-solving. Whether your team focus is driving adoption and optimising complex configurations, or investigating and resolving advanced product issues, both work streams are dedicated to improving the customer's post-live product experience. In this role, you will leverage advanced AI tools to accelerate resolutions, translate complex concepts for stakeholders, and collaborate directly with Product and Engineering to advocate for our customers. We are currently only considering candidates based in and around London. As this is a hybrid role, office attendance is required at least twice a week for collaboration and connection. There may be additional in-office days for team or company events. What You Will Be Doing: Provide post-hypercare support to customers following their initial implementation to help drive early adoption and value realisation. Deliver high quality post-hypercare technical support to new and existing customers. Leverage internal AI tools and knowledge systems to accelerate issue investigation, improve documentation, and enhance the customer support experience. Troubleshoot, reproduce, and document complex product issues, including AI-powered features and workflows, escalating bugs to Engineering with clear technical context and customer impact. Guide customers on product functionality, configuration, AI capabilities, workflow optimisation, and best practices to maximise the value of the Ironclad platform. Support customers through onboarding, product adoption, technical health checks, and configuration reviews by providing consultative guidance and identifying opportunities to improve efficiency. Collaborate cross-functionally with Product, Engineering, Sales, and Professional Services to resolve complex issues, advocate for customer needs, and influence product improvements. Translate technical concepts for non-technical stakeholders through clear communication, technical assessments, and customer-facing recommendations. Advocate for customer needs internally, ensuring product enhancements and process improvements reflect real-world use Maintain a strong understanding of the product roadmap and effectively position upcoming capabilities—helping customers envision solutions that may not yet exist today and preparing them for future adoption Key Skills: 3+ years of experience in a customer-facing, product-oriented role at a B2B SaaS company (e.g. Technical Account Manager, technical consulting, technical support, customer support, or another technical customer-facing role within a B2B SaaS environment.) Customer-first mindset with a passion for understanding customer goals, advocating for their needs, and delivering successful outcomes. Strong technical aptitude with the ability to troubleshoot complex product issues, including AI-powered features and workflows, and translate technical concepts into clear, customer-friendly guidance. Familiarity with generative AI concepts, large language models (LLMs), prompt engineering fundamentals, and AI-assisted support workflows. Excellent written and verbal communication skills with experience leading customer conversations. Ability to translate technical concepts for non-technical stakeholders; ability to write clear assessments and recommendations; ability to manage sensitive customer conversations Strong analytical and problem-solving skills with the ability to prioritise, investigate, and appropriately escalate customer issues. Strong organisational skills with the ability to manage competing priorities in a fast-paced environment while maintaining a high level of ownership. Experience collaborating cross-functionally with Product, Engineering, Professional Services, Sales, and other internal partners. Growth mindset with a passion for continuous learning, process improvement, and leveraging AI and emerging technologies to improve productivity and customer outcomes. Experience with Salesforce Service Cloud, Zendesk, or similar customer support platforms. Familiarity with Contract Lifecycle Management (CLM) or Legal Operations is a plus. UK Employee Benefits at Ironclad: Private Medical & Dental insurance, covered at 100% for you and dependents Life assurance and Income Protection Generous leave policies, including parental leave, medical leave, and compassionate leave Family-forming support through Maven for you and your partner Monthly stipends for wellbeing, hybrid work, and (if applicable) phone use Standard pension contribution scheme Regular team events to connect, recharge, and have fun And most importantly, the opportunity to help build the company you want to work at US Full-Time Employee Benefits at Ironclad: 100% health coverage for employees (medical, dental, and vision), and 75% coverage for dependents with buy-up plan options available Market-leading leave policies, including gender-neutral parental leave and compassionate leave Family forming support through Maven for you and your partner Paid time off - take the time you need, when you need it Monthly stipends for wellbeing, hybrid work, and (if applicable) cell phone use Mental health support through Modern Health, including therapy, coaching, and digital tools Pre-tax commuter benefits (US Employees) 401(k) plan with Fidelity with employer match (US Employees) Regular team events to connect, recharge, and have fun And most importantly: the opportunity to help build the company you want to work at **UK Employee-specific benefits are included on our UK job postings Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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About There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting. Our first application is an agent-first mobile communication app. We believe building applications that users use daily for communication, coordination and collaboration needs will help integrate AI into their lives. The net effect is to eliminate misinformation, achieve low coordination costs, enable high quality tasks and collaboration at scale with minimal or little prompting. Role Define product roadmaps, requirements and success metrics for assigned product areas Identify user needs and translate them into product features, workflows and specifications Evaluate technical approaches with engineering, balancing performance, reliability, usability and development effort Lead product development from planning and design through testing, launch and improvement Analyse user behaviour, product performance and experiments to improve adoption, engagement and retention Assess market opportunities, competing products and user feedback to guide product priorities What You'll Need 5+ years of product management experience, including shipping technology products Strong system design knowledge and the ability to evaluate architecture, data models, integrations, reliability and performance trade-offs Ability to challenge technical proposals, identify architectural risks and work with engineering to resolve complex product and system constraints Experience owning complex products or workflows end-to-end, from problem definition and technical scoping through launch and production iteration Ability to balance quality, latency, reliability, development cost and time-to-market when making product decisions Proven track record of improving adoption, engagement, retention or business outcomes through shipped products Strong analytical judgment and experience designing experiments, interpreting metrics and making investment decisions based on evidence Nice to Have Experience with distributed systems, complex integrations Experience with AI/ML products or LLM-based applications Experience with workflow automation or other technically demanding products. Find more English Speaking Jobs in United Kingdom on Arbeitnow

At Parallel, we build AI agents to help healthcare facilities automate their administrative processes and unlock additional revenue, starting with medical coding. Today, up to 25% of healthcare spending is lost in manual, repetitive administrative work. Legacy software hasn't helped, it's made things slower, more complex, and more frustrating for care teams. We believe AI agents can change that. Our technology combines Large Language Models with system-level automation to handle real work inside existing hospital tools. No integrations, no disruption. Our first agent automates coding workflows and frees up time for medical staff to focus on patients. We launched in 2024, are backed by top investors (Index, Frst, Y Combinator, Hexa, Kima Ventures, Better Angle), and we're just getting started. The future of healthcare isn't just digital — it's automated. Come help us build it ! Context This role is open to support an ambitious hiring goal: growing the team by 50%. You will join a team of three recruiters, alongside Léa, our Talent Lead, with whom you will work hand in hand. The priority of the role is hiring tech profiles: Senior Fullstack Engineers, Forward Deployed Engineers and AI Engineers. Your missions Hire the best tech talent Gather hiring needs with Hiring Managers, co-build scorecards, then write and publish job offers. Source active and passive candidates through multiple channels, with a strong focus on headhunting (LinkedIn Recruiter, referrals, events). Assess candidates and run hiring processes end to end in Ashby, through to the offer. Ensure a high-quality candidate experience at every step. Support Hiring Managers Be their point of contact and help them define their team strategy through hiring. Contribute to the recruiting team Contribute, alongside Léa, to improving our hiring processes and our employer brand. You you are : 2 to 4 years of experience in recruiting. Solid headhunting experience, especially on tech profiles, ideally gained in a SaaS company with a strong tech component. In-house recruiting experience is preferred. A sales mindset and the drive to win. Strong rigor, including in writing. Ideally, a good level of English. Hiring process A first call with Léa, Talent Lead (30 min) Interviews at our Paris office Reference checks Offer Why should you join us? Concrete impact: every hire directly contributes to Parallel's growth. A structuring role: you help build our hiring processes and our employer brand. Competitive compensation: salary and equity (BSPCE). A great place to work: a bright office in Paris, regular team moments and two offsites a year. Flexibility: on average one day of remote work per week, and one remote week per year. Comprehensive benefits: health insurance, meal vouchers, public transport support, learning and wellbeing allowances. We care about who you are, not just what's on your CV. If you're drawn to what we're building but don't meet every requirement, we still want to hear from you. Studies show that women in particular tend to apply only when they meet 100% of the criteria. If that's you, please don't let that hold you back. We'd love to receive your application. Find more English Speaking Jobs in France on Arbeitnow

ABOUT THE POSITION We are looking for an experienced AI Engineer to join our growing team and help design, and deploy robust AI software solutions for our clients. You will lead and deliver high-impact AI projects in collaboration with renowned clients in the European industry. You will work hands-on with multi-modal datasets, build predictive models, and develop AI-driven products to support operations and gain efficiencies across business units. Your role will combine hands-on technical exposure with scientific curiosity and business relevance: from extracting insights from client interactions to building robust AI architectures which incorporate state-of-art technology and best practices to deliver client solutions. This is more than a job — it's an opportunity to help shape the future of our company and drive innovation. ABOUT SPHERE ENERGY We are a young, dynamic and technology-driven company, committed to developing targeted AI-driven solutions that revolutionize the development of products in the broad field of engineering. Tasks KEY RESPONSIBILITIES Develop scalable AI-driven software solutions and design end-to-end systems that integrate seamlessly with enterprise data and cloud infrastructure. Establish MLOps standards and reusable pipelines, ensuring clean, maintainable code for model training, deployment, and monitoring. Translate complex business requirements into technical blueprints, bridging the gap between data science exploration and production engineering. Advise stakeholders on technical strategy, clearly communicating architectural tradeoffs regarding cost, latency, and performance. Requirements QUALIFICATIONS Master's in Computer Science, Data Science, Machine Learning, or a related field with experience in designing enterprise-scale AI solutions. Deep architectural expertise across multiple AI domains—specifically within Generative AI, Computer Vision, and complex predictive modeling. Advanced proficiency in Python and modern AI frameworks (PyTorch, TensorFlow), with a strong command of software design patterns, microservices architecture, and API design. Expertise in designing robust MLOps ecosystems, including defining standards for CI/CD, model governance, security compliance, and infrastructure orchestration on cloud platforms (AWS, GCP, Azure). Ability to define and execute technical roadmaps paired with the experience mentoring engineering teams, conducting code/design reviews, and enforcing engineering excellence. Expert at balancing critical architectural tradeoffs, including inference latency, scalability, data privacy, and total cost of ownership. Benefits WHAT WE OFFER The opportunity to drive leading technology solutions in real-world applications A high-impact, client-facing role with real responsibility and room for initiative A collaborative and dynamic work environment that values vision and impact Opportunity to actively contribute to a young company's growth Flexible working hours and hybrid work models HOW TO APPLY If you're excited to shape the future of battery technology and drive real change with leading industry players, please share your resume and an additional cover letter. Find Jobs in Germany on Arbeitnow

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Join Affirm as a Machine Learning Engineering Manager and become a pivotal part of our International Credit Machine Learning group. Specifically, you will manage a team of ML engineers that builds the models powering credit lending decisions in countries across Europe and in Australia. You will lead your team in using novel ML techniques and rich data representations to predict repayment behavior and optimize how we offer loans to our borrowers. In this role, you will help shape the future of machine learning at Affirm. You'll partner with engineering, product, and risk leaders to design, implement, and scale advanced ML solutions that drive critical capabilities across the company. You will mentor engineers, bring clarity to complex, ambiguous problems, and contribute to a cohesive long-term ML strategy. What you'll do Set the technical strategy for your team, and help your engineers tie it together with critical, business-impacting projects in our underwriting system Act as a force multiplier through your definition and advocacy of technical solutions and operational processes. Collaborate across teams in the product development lifecycle by partnering with product management, design, analytics, and risk to ensure technical sustainability, risks and trade-offs are well understood and managed. Develop talent by providing feedback and guidance, and leading by example. What We Look For Bachelor's in a technical field with 8+ years of industry experience, including 3+ years managing engineers. A background in financial services, specifically in credit / lending. Proficiency in machine learning with experience in areas including tree-based models, transformers, deep learning, and agentic ML. Strong engineering skills and the ability to provide hands-on technical leadership while working with our code and architecture. You thrive in ambiguity, and are comfortable moving from low-level language idioms all the way to the architecture of large systems to understand how they work Compensation & Benefits Base Pay Grade - P Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidised medical coverage, dental and vision for you and your dependents.) Base pay range per year: £142,000 - £190,000 Location: UK Remote #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We're committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we're happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Role: Senior Data Engineer Location: DFYNE HQ, 1 Forrest Gate, Uddingston, G71 5PG Work Location: Onsite About You: Are you the kind of Data Engineer who enjoys being the person everyone relies on when data matters most? Do you thrive on building reliable pipelines, improving data quality and ensuring critical business decisions are driven by trusted information? Are you as comfortable writing complex SQL as you are building automated monitoring, troubleshooting failures and improving data architecture? If you enjoy ownership and want to have a direct impact on how a fast-growing business operates, DFYNE could be exactly where you belong. About DFYNE: A picture paints a thousand words… and we're sure you don't want to sit here reading a corporate essay about who we are. Honestly, how can you really get under the skin of DFYNE from a few lines on a screen? So instead, go have a look for yourself, see what we're about, what we stand for, and why people love us: www.dfyne.com. About the role — DFYNE Your Career: Before I tell you more about the role, let me introduce myself. I'm Bruce, Head of Development at DFYNE, and I'm looking for our first dedicated Senior Data Engineer. This role will own the DFYNE data warehouse, helping ensure the data that powers finance reporting, forecasting, inventory management and operational decision-making remains accurate, reliable and available. You'll take ownership of BigQuery pipelines, transformation layers, exports and integrations while working closely with teams across the business. This is a hands-on role where you'll help define data engineering standards, improve data reliability and build the foundation of DFYNE's future data capability. Attitude: • Ownership mentality • Builder mindset • Commercial awareness • Problem-solving mindset • Continuous improvement Key Responsibilities: • Own the performance, reliability, security and ongoing development of DFYNE's BigQuery data warehouse and associated data pipelines. • Design, build and maintain scalable ingestion and transformation processes. • Implement data quality monitoring, validation and automated alerting. • Define data contracts with business stakeholders and system owners. • Improve reliability, accuracy and freshness of business-critical data. • Lead investigation and resolution of data incidents, ensuring root causes are identified and permanently addressed. • Support ERP, finance, forecasting and operational reporting requirements. • Build and maintain integrations for fulfilment and logistics platforms. • Identify and resolve data quality issues and pipeline failures. • Contribute to data architecture, governance and engineering standards. • Collaborate closely with Finance, Operations and Engineering teams. • Support reporting, analytics and business intelligence initiatives. • Drive continuous improvement across DFYNE's data platform. Skills & Experience: • 5+ years of commercial Data Engineering experience. • Expert SQL skills and strong Python development experience. • Hands-on BigQuery experience or equivalent cloud data warehouse technologies. • Experience with dbt, Dataform or similar transformation frameworks. • Experience building and operating production data pipelines. • Experience implementing monitoring, testing and alerting for data systems. • Strong understanding of data quality, governance and reliability. • Excellent stakeholder management and communication skills. • Experience supporting finance, ERP or operational reporting environments. • Ability to translate business requirements into scalable data solutions. Nice to Have: • Google Cloud Platform certifications. • Logistics, fulfilment or e-commerce experience. • Terraform and Infrastructure as Code experience. • Experience with modern analytics and reporting tools. • Experience scaling data platforms in high-growth businesses. So, what's in it for you?: If you've made it this far down without being put off, brilliant. I'd genuinely love to hear from you. Beyond joining a work family and a genuinely great place to build your career, you'll become DFYNE's first dedicated Data Engineer and help shape the future of data within one of the UK's fastest-growing companies. You'll work on a modern data platform supporting finance, forecasting, ERP and operational decision-making while having genuine ownership and influence from day one. You'll be part of a high challenge; high reward culture. What will aid a successful application with DFYNE: • Cover letter • Completed questionnaire Salary starting from £65k per year. Find Jobs in United Kingdom on Arbeitnow

The Role.. We are looking for an experienced Analytics Engineer to join our data team to enhance our data-platform. This role will develop advanced analytics features into our transformations layer, optimise performance, and work with data engineers to ensure scalability and robustness. Candidates for the role will have proven expertise in developing complex and performant SQL data models, with a deep understanding of dbt Core or dbt Cloud and Snowflake. The ideal candidate will have experience managing semantic layer based BI tools, such as Omni or Looker. Key Responsibilities.. Develop advanced and performant SQL transformations in dbt to support complex analytics and reporting needs, ensuring optimised performance in handling large-scale data. Optimise sql codebase for Snowflake credit spend and dbt build times, tune materialisations and incremental models, and report against build KPIs. Set up and manage dbt projects to ensure that the codebase is stable, scalable, and maintainable, adhering to best practices for long-term success. Administer and manage dbt Cloud (Fusion), including scheduling and job monitoring. Collaborate with data engineering teams to ensure our transformation layer integrates seamlessly with our ingestion layer, enabling end-to-end analytics pipelines. Implement and manage data observability processes and tools to monitor and ensure data quality, accuracy, and reliability. Administer our semantic layer in Omni (Omni.co) to ensure transformed business data and governed metrics are available for end-users. Manage our GitHub repository, ensuring version control best practices, implementation of automated testing workflows, and seamless collaboration between teams. Contribute to the development of master data management documentation and coding standards. Required Skills and Experience.. Expertise in advanced SQL and data modelling techniques utilising dbt, with a strong emphasis on performant and optimised transformations for complex analytics and reporting. Hands-on experience with Snowflake, including familiarity with its SQL dialect, performance tuning features and AI functions. Experience administering dbt Cloud, setting up scalable and maintainable projects, and scheduling workflows. Experience working with semantic layers for BI tooling, including defining metrics and relationships, ensuring data availability, user access and performance. Omni or Looker strongly preferred. Knowledge of data observability tools and processes to monitor data quality and identify anomalies. Experience managing GitHub repositories, including version control, automated testing workflows, and fostering team collaboration. Demonstrated ability to collaborate with data engineering teams to build new data pipelines and integrate transformation layers seamlessly with ingestion layers. Preferred Experience.. Use of AI for coding workflows. Claude Code preferred. AI context for semantic layers, especially in Omni. Curate AI context, field descriptions and sample queries in the semantic layer so AI assistants answer questions accurately. Experience in the hospitality industry and familiarity with hospitality-specific data and KPIs. Benefits… Soho House offers competitive compensation packages that feature global benefits and perks. Whether you're seeking entry-level employment or a new opportunity to expand your profession, we offer training to develop the technical and managerial skills necessary to grow your career. Annual Every House Membership 50% off Food & Drink, 7 days a week Staff Room Rates Private Health and Dental Care Weekly Pay Life Assurance Up to 50% Staff Discount on Cowshed & Soho Home In Office Dog Policy on Fridays Season Ticket Loan Christmas Office Closure In conjunction with Soho Impact, take 2 days paid a year to support a charity of your choice. Free Counselling Sessions Cookhouse & House Tonic: Our Cookhouse & House Tonic programmes offer unique food and drink trainings, events and opportunities to inspire and educate. Continuous training to develop yourself personally and professionally Exclusive access to our benefits platform with hundreds of discounts on shopping, gym memberships, holidays, insurance and much more Team Events: From fitness sessions to cinema screenings and art classes, each month we hold a series of fun events which you can sign up to. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Sie haben schon einmal aus SAP-Auszügen und verstreuten Excel-Listen ein Datenmodell gebaut, mit dem ein Fachbereich wirklich arbeitet? Und Sie möchten Business Intelligence jetzt in einem Unternehmen von Anfang an aufbauen und Ihre Handschrift darin hinterlassen? Über unseren Mandanten Unser Mandant ist ein international tätiger Industriezulieferer der Mobilitätsbranche mit Hauptsitz im Großraum Kassel. Das Unternehmen wächst auf einer sehr soliden Auftragsbasis und macht BI und Analytics jetzt zu einem eigenen Thema. Warum diese Rolle Sie sind die erste Person, die BI und Analytics im Unternehmen verantwortet. Die Plattform ist gesetzt: Microsoft Fabric und Power BI, mit SAP als wichtigster Datenquelle. Die Datenbasis ist noch lückenhaft, und das Wissen über BI wächst in der Organisation gerade erst. Beides bauen Sie mit auf. Weil Sie die BI-Landschaft von Anfang an prägen und Ihre Entscheidungen darin Bestand haben. Weil Sie direkt an die IT-Leitung angebunden sind und Ihre Ergebnisse im ganzen Unternehmen sichtbar werden. Weil in einer Aufbauphase Ausprobieren dazugehört und eine erfahrene IT-Leitung Ihnen dabei Rückhalt gibt. Das sind Ihre Aufgaben Sie bauen die BI-Landschaft auf Microsoft Fabric auf: Datenanbindung, vor allem aus SAP, Lakehouse oder Warehouse sowie Pipelines und Dataflows. Sie entwickeln zentrale, wiederverwendbare Datenmodelle in Power BI, auf denen weitere Berichte aufsetzen. Sie erstellen die ersten Basisberichte für die Fachbereiche. Sie etablieren Report-Governance: Workspaces, zertifizierte Datenmodelle, Namenskonventionen, Berechtigungen und Deployment. Sie machen Lücken in der Datenqualität sichtbar und bereinigen sie gemeinsam mit den Fachbereichen. Sie nehmen Anforderungen auf, holen die Beteiligten an einen Tisch und setzen Prioritäten. Sie befähigen die Fachbereiche zu Self-Service mit klaren Leitplanken und zeigen den Kolleginnen und Kollegen, wie man einen Bereich und eine Analyse strukturiert. Zur Einordnung: Ihr Schwerpunkt liegt auf Analytics und Engineering, also auf Datenanbindung, Datenmodellen, Berichten und Governance. Sie setzen selbst um und klären die Anforderungen direkt mit den Fachbereichen. Data Science und Machine Learning spielen in dieser Aufbauphase eine Nebenrolle. Das bringen Sie mit Ein Studium der (Wirtschafts-)Informatik, Mathematik, Statistik oder Wirtschaftswissenschaften oder eine vergleichbare Qualifikation mit entsprechender Berufserfahrung Fundierte Praxis mit Power BI aus zwei bis drei Jahren oder mehr: Power Query, DAX und Datenmodellierung Erste Erfahrung mit Microsoft Fabric, etwa mit Lakehouse, Data Factory oder Dataflows Gen2, sowie sicherer Umgang mit SQL Erfahrung im Auf- oder Ausbau von BI-Lösungen im eigenen Unternehmen, gern auch als einzige Person für das Thema in einem kleineren Haus Freude daran, mit Fachbereichen Anforderungen zu klären und Wissen weiterzugeben Sehr gutes Deutsch und gutes Englisch für die Zusammenarbeit mit den internationalen Standorten Von Vorteil: Verständnis von SAP-Daten (ECC oder S/4HANA) sowie Zertifizierungen wie PL-300, DP-600 oder DP-700 Das erwartet Sie Eine Fachrolle mit voller Verantwortung für Ihr Thema und kurze Entscheidungswege Arbeitsplatz im Großraum Kassel: Die Rolle lebt vom direkten Austausch, deshalb arbeiten Sie überwiegend vor Ort. Eintritt ab Anfang 2027. Flexible Arbeitszeiten und 30 Tage Urlaub Betriebliche Altersvorsorge, Zuschuss zum Deutschlandticket, Bikeleasing und Weiterbildung, zum Beispiel für Microsoft-Zertifizierungen Interesse? Senden Sie uns Ihren Lebenslauf mit Gehaltsvorstellung und frühestem Eintrittstermin. Find more English Speaking Jobs in Germany on Arbeitnow

At Upvest, we are on a mission to make investing as easy as spending money . Upvest empowers businesses to offer a wide range of investment products and the best experience in the field of capital market investment and retirement planning. Upvest's Investment API is easy to integrate so that fintechs and financial institutions can save resources and fully focus on their core business. We are proud to partner with Europe's leading Fintechs and financial institutions such as DKB, Revolut, N26 and Raisin. Founded in 2017 by Martin Kassing, Upvest now brings together over 270 talented professionals from more than 70 nationalities. Upvest is backed by €280M in total funding from world-class investors, including BlackRock, Tencent, Sapphire Ventures, and Bessemer Venture Partners, Earlybird, Notion Capital, and Motive . Our latest €105M funding round in March 2026 - led by Sapphire and Tencent - serves as a massive catalyst for our growth, allowing us to offer premier investment experience. About the role: Upvest is looking for a Senior Site Reliability Engineer to raise the bar on how we build, run and recover our systems. Our platform sits in the critical path for our clients and their end customers and as we scale reliability and availability become more crucial. In the near term, you'll focus on three things: eliminating toil, improving incident management and observability. That means establishing the standards through automation and guardrails that make good engineering the default, turning our incident process into a robust and effective practice, and giving every team the telemetry to see what their services are doing in production. Over time, your scope grows into resilience architecture, chaos engineering and disaster preparedness - making sure our systems degrade gracefully and that we find weaknesses before our clients do. You'll work closely with product engineering teams, embedding SRE practices into how they design, ship and operate, and mentoring engineers along the way. If you like the idea of setting technical direction for reliability across an organisation, and you measure your success by how rarely anyone has to think about you at 2am, this is the role for you. What you'll do: Incident Excellence : transform how we respond to and learn from incidents, turning repeat problems into opportunities through robust runbooks and post-mortem culture. Reliability as Code : establish SLOs, SLIs, and error budgets that become the shared language of engineering velocity and stability. Automation Leverage : eliminate toil ruthlessly. Build tools that let engineers focus on building value for our clients. Defensive Architecture : establish SRE principles and patterns (circuit breakers, bulkheading, graceful degradation, intelligent rate limiting) to make our services resilient. Stress at Scale : validate system behavior under synthetic load and adversarial conditions, proving our defenses work to improve disaster preparedness. Proactive Defense : design chaos experiments, redundancy patterns, and failover strategies that validate resilience before customers ever see an issue. What you bring: Deep SRE Mastery : years in high-stakes environments (FinTech, payments, banking, trading, mission-critical SaaS) where downtime has real consequences. Technical Depth : hands-on expertise with SLOs, incident management, observability, automation, and the discipline of eliminating toil. Systems Thinking : you understand resilience architecture deeply and how to design systems that fail gracefully. Influence Without Authority : exceptional communication and stakeholder management skills. You can change minds and shape culture through clarity and engineering excellence. Leadership : proven ability to mentor engineers, see projects through end-to-end and set technical direction in an engineering organisation. It's great if you have: Investment Industry Fluency : understanding our domain means your SRE decisions align with business reality, not just technical ideals Stack Familiarity : experience with Golang, Kubernetes, GCP, Postgres, Kafka, or Datadog accelerates your impact How we Upvest in you: Best-in-class AI tools: Every Upvenger has €20,000 per year to spend on the best AI tools available — so you're always working with the most powerful models and tooling on the market. Impact-driven work: We're building the infrastructure that will power the future of investing in Europe. It's complex, ambitious, and meaningful. You'll work with modern technologies and create something entirely new. No legacy systems, no limits. Wellbeing: Recharge with 30 days of annual leave and maintain a healthy lifestyle with sports benefits. Access confidential professional coaching and enjoy the flexibility to work remotely abroad for up to 183 days a year. Recharge with UpRest, a one-month fully paid sabbatical after every 4 years of working at Upvest. Development: Growth is in our DNA. Each Upvenger has access to a personal development budget and the freedom to decide how to use it. Flexible work environment: Work from any of our hubs in Berlin, London or Tallinn hybrid or remotely across Europe, depending on the role. We give you the choice and budget to work where you're most comfortable and productive, either at home or in the office. You choose. Compensation and equity: We believe that all Upvengers contribute to our success and deserve a competitive, above-market salary and a participation in our employee equity program. Team celebrations: Participate in company-wide events, such as UpFest, dinners, offsites and our Holiday party, to connect with colleagues and celebrate our achievements. Inclusion : We're committed to a culture where everyone belongs and thrives. Our Employee Resources Groups foster inclusion and connection, like Upfem Black at Upvest, Up&Out, and UpVergent. Our Values: Make it easy for others. We simplify the complex and act with the best intentions Own the outcome. We are proactive, fast and confident to get the job done, valuing progress over perfection. Rise to the challenge. We aim high and push the boundaries. We stay curious, learn and celebrate our wins together. Tell the story. We start with the Why to align on purpose. We are transparent and share knowledge to empower and inspire others. Upvest is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Find more English Speaking Jobs in Germany on Arbeitnow

Community Health Worker Job Title: Community Health Worker Status: 1.0 FTE Location: EFry Health Services Society, Surrey Posting #: 26-011 Schedule: Monday ? Friday The Opportunity EFry Health Centre is seeking a Community Health Worker (CHW) to help individuals and families access equitable, culturally safe, trauma-informed, and person-centred primary healthcare. As part of our interdisciplinary team, you will connect patients with healthcare providers and community services, helping address barriers such as poverty, housing instability, language differences, discrimination, and social isolation. Roles and Responsibilities of the Community Health Worker Works collaboratively with: Primary Care Providers, Nursing, Allied Health, Mental Health, Medical Office Assistants, and Community Partners Position Summary The Community Health Worker (CHW) plays an integral role in supporting equitable access to comprehensive, culturally safe, trauma-informed, and person-centred primary healthcare services at EFry Health Centre. Working within an interdisciplinary healthcare team, the CHW supports individuals and families experiencing barriers to healthcare access, including those related to poverty, housing instability, language, cultural differences, social isolation, discrimination, and challenges navigating the healthcare system. The CHW serves as an important connection between patients, healthcare providers, and community services. The position supports patient access, eligibility screening, intake coordination, healthcare navigation, outreach, health promotion, and community engagement. The CHW also supports the patient attachment process, including waitlist coordination and communication with prospective patients, as required by the Health Centre's operational needs. As patient attachment activities decrease, the position will continue to focus on healthcare navigation, patient engagement, outreach, community partnerships, and supporting patients in accessing appropriate services. The CHW works collaboratively with clinical and administrative team members to promote continuity of care, reduce barriers to services, and support positive patient experiences. Key Responsibilities Patient Access, Eligibility Screening and Intake Coordination Serve as an initial point of contact for individuals seeking access to EFry Health Centre services. Conduct non-clinical eligibility screening in accordance with established organizational criteria and procedures. Explain the Health Centre's services, eligibility requirements, registration processes, and available programs. Support the patient attachment process, including maintaining waitlists and coordinating communication with prospective patients, as required. Contact prospective patients to confirm eligibility, explain the intake process, and coordinate next steps. Coordinate with Medical Office Assistants, nursing staff, and primary care providers to facilitate timely intake appointments. Support patients in completing registration forms, gathering necessary documentation, and understanding the intake process. Identify barriers that may prevent patients from accessing or completing intake appointments and provide appropriate navigation support. Follow up with prospective patients who have not responded to outreach or have missed intake appointments, in accordance with established procedures. Maintain accurate documentation of eligibility screening, intake coordination, and patient communication. Refer concerns requiring clinical assessment or professional judgment to the appropriate healthcare professional. Support improvements to patient access and intake processes as organizational needs evolve. Healthcare Navigation and Patient Support Assist patients in understanding and navigating primary healthcare services and the broader healthcare system. Support patients in accessing internal and external healthcare services, incl

About AlphaSense: AlphaSense is the AI platform redefining market intelligence and workflow orchestration, trusted by thousands of leading organizations to drive faster, more confident decisions in business and finance. The platform combines domain-specific AI with a vast content universe of over 500 million premium business documents — including equity research, earnings calls, expert interviews, filings, news, and internal proprietary content. Purpose-built for speed, accuracy, and enterprise-grade security, AlphaSense helps teams extract critical insights, uncover market-moving trends, and automate complex workflows with high-quality outputs. With AI solutions like Generative Search, Generative Grid, and Deep Research, AlphaSense delivers the clarity and depth professionals need to navigate complexity and obtain accurate, real-time information quickly. For more information, visit www.alpha-sense.com . Come join us. About the Team Our diverse Product & Engineering team values innovation, collaboration, and the continuous improvement of our platform. We offer a dynamic work environment where employees can grow and thrive while working on cutting-edge technology that shapes the future of AI and search. At AlphaSense, we believe that diverse experiences and perspectives are critical to our success. We are committed to creating an inclusive workplace where all employees feel valued and empowered to be their authentic selves. About the Role AlphaSense is moving beyond search with SuperAnalyst : AI-powered workflows that monitor change, update outputs, and surface what matters as situations evolve. Mobile brings that intelligence into the moments when customers are away from their desks. Delivering those experiences through native applications presents a distinctive engineering challenge: services evolve continuously while released apps remain in customers' hands. Designing for that reality creates an opportunity to shape how AlphaSense builds shared product capabilities, with benefits reaching well beyond iOS and Android. Based in Mobile Engineering, you will use a close connection to customer and product needs to shape backend systems across engineering organizations. You will help decide which cross-team problems to tackle and where architectural investment will have the greatest impact, then work with the owning engineers to build and prove the solution in production. What You'll Do Shape the systems behind product experiences: Set technical direction for client-facing APIs and the backend architecture behind them. Work with service and platform owners to simplify how backend services connect and support product workflows across clients. Lead across engineering organizations: Work across application, search and AI, and shared platform teams to shape technical priorities around customer and product needs. Represent Mobile with senior engineering leaders, Product, and customers, building agreement on the architecture and investment needed to deliver shared capabilities. Turn architecture into production systems: Lead delivery of services and subsystems that span team boundaries, from choosing the technical approach to implementing the hardest parts and proving them in production. Design these systems for reuse beyond the initial use case. Shape shared identity and access: Partner with User Management and platform teams to evolve how users authenticate, maintain sessions, and access product capabilities across Web and Mobile. Build native-client requirements into shared identity and configuration services. Leave engineers and teams stronger: Help engineers deepen their technical judgment and build the expertise to own and evolve the systems you deliver together. Combine hands-on delivery with coaching and reusable patterns, whether embedding with an existing team or bringing engineers together around a focused mission with leadership support. What We're Looking For Your strongest experience should be in backend and platform engineering, with client needs informing your architectural decisions. Prior iOS or Android development experience is not required. Required: Deep production backend and distributed-systems expertise, including service boundaries, data ownership, consistency, failure recovery, and integration models. A track record of simplifying complex architectures with impact across teams or domains. Strong hands-on engineering experience, with significant personal contributions to production code and system evolution. Ability to develop a deep understanding of unfamiliar codebases and turn investigation into sound engineering decisions. Experience designing client-facing REST and GraphQL APIs, with sound judgment about business-logic placement, product states, and backward compatibility. Understanding of how mobile lifecycle and network constraints affect backend design. Strong understanding of authentication, authorization, entitlements, and session management, including trust boundaries and the security implications of client-service interactions. Experience improving customer-visible reliability and performance across client and backend systems, with practical expertise in observability and production validation. A track record of leading consequential technical change across teams through influence rather than reporting authority. Product and stakeholder leadership that connects technical decisions to customer value. Demonstrated success challenging assumptions and building alignment with senior leaders, balancing immediate customer and product needs with durable foundations other teams can build on. Preferred: Experience building production systems for AI-powered search, research, or analysis workflows. Experience with enterprise identity and managed applications, such as Auth0, Microsoft identity, or MDM/MAM ecosystems. Experience designing shared configuration or service discovery for multi-tenant platforms and dedicated customer environments. Experience designing and building event-driven systems, including publish/subscribe or event-streaming architectures such as Kafka. AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense's commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works. Recruiting Scams and Fraud We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note: AlphaSense never asks candidates to pay for job applications, equipment, or training. All official communications will come from an @ alpha-sense.com email address. If you're unsure about a job posting or recruiter, verify it on our Careers page . If you believe you've been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us. Find Jobs in United Kingdom on Arbeitnow