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Education: Bachelor's degree. Work setting: Trucking company. Tasks: Evaluate daily operations . Plan and organize daily operations. Supervise staff. Ensure transport compliance with regulations. Oversee the scheduling and dispatching of vehicles and goods. Organize and maintain inventory. Prepare budget and cost estimates. Monitor progress of delivery schedules. Negotiate offers from suppliers. Inspect to ensure that safe working conditions are maintained. Co-ordinate activities with warehouse and production units. Keep track of shipments. Hire, train and supervise staff. Investigate complaints. Supervision: More than 20 people. Work conditions and physical capabilities: Attention to detail. Work under pressure. Personal suitability: Accurate. Efficient interpersonal skills. Flexibility. Judgement. Organized. Reliability. Team player. Values and ethics. Proactive. Punctuality. Screening questions: Do you have experience working in this field?. Experience: 2 years to less than 3 years.

Startdatum Wir suchen Dich ab sofort an einem unserer deutschen Standorte in München, Nürnberg, Essen, Leipzig, Berlin oder Frankfurt am Main ! Deine Aufgaben Data und AI sind Dein zu Hause? Des Weiteren gestaltet sich Deine neue Herausforderung wie folgt: Konzeptionierung und Aufbau von Big Data / Analytics / AI Plattformen, inklusive DevOps workflows, IaC, CI/CD, IAM und Monitoring & Alerting Konzeption, Entwicklung und Skalierung von Daten-Pipelines auf verschiedenen Cloud-Architekturen unter Einbezug von Datenqualitätsmaßnahmen sowie der Entwurf und Umsetzung von Datenmodellen Operationalisierung von statistischen und KI-Modellen sowie Ergebnissen der Data Scientists, um diese zur produktiven Nutzung zur Verfügung zu stellen bzw. zu automatisieren Auswahl und Beratung von Kunden zu Vor- und Nachteilen verschiedener Technologie-Stacks, passend zu den Use Cases und dem Umfeld im Unternehmen Übernahme einer führenden Rolle in der Kundenkommunikation und Leitung von Engineering-Projekten mit fachlicher Verantwortung für ein Entwicklerteam und die Projektergebnisse Aufbau von Data Engineering Expertise im Unternehmen z.B. durch das Halten von internen Schulungen, Leiten von internen Projekten und aktive Teilnahme in der Engineering Community Dein Profil Data ist auch in Deiner DNA? Das solltest Du mitbringen: Erfolgreich abgeschlossenes Studium der Informatik, Computer Science, Data Engineering oder einem anderen mathematisch/ naturwissenschaftlichem Feld oder eine vergleichbare Qualifikation Starke Kommunikationsfähigkeit (fließend) auf Deutsch und Englisch sowie Reisebereitschaft im Rahmen einer Consulting Tätigkeit Mindestens 6 Jahre Vollzeit Berufserfahrung als Data Engineer in der Konzeption & Implementierung von Datenplattformen und Data Management Prozessen oder in ähnlichem Berufsfeld Mindestens 5 Jahre praktische Anwendung von gängigen Programmsprachen wie z.B. Python, Scala, SQL und Entwickler Tools wie bspw. GIT Mindestens 4 Jahre Umsetzungserfahrung mit BigData Technologien, insbesondere Spark / Kafka, verteilte Speichersysteme, OpenTable Formate und Cluster-Computing Mindestens 4 Jahre Erfahrung im Umgang mit verschiedensten Cloud Komponenten (Object Storage, Datenbanken, Message Services, ETL / ELT Engines, Security, Scheduling, Operations, Monitoring, etc.) im Bereich AWS / Azure / GCP Erfahrung mit mindestens einer der folgenden Technologien: Databricks / Snowflake / AWS Sagemaker / Azure Synapse / ähnliche Data-Analytics-Plattformen Erfahrung mit IaC Tools wie zum Beispiel Terraform, AWS CDK o.ä. sowie mit gängigen CI/CD Prozessen und Tools Nice to have: Erfahrung mit UNIX Systemen und Netzwerkkonfiguration Wir bieten Data bewegt uns! Was Dich auf Deiner persönlichen Journey erwartet, findest Du hier: Work-Life-Balance Vertrauensarbeitszeit mit flexibler Arbeitszeitgestaltung - ob voll remote oder in einem unserer modern eingerichteten Innenstadtbüros (inkl. Dachterrasse), workation - nutze die Möglichkeit aus dem EU-Ausland zu arbeiten Kultur & Zusammenarbeit Einzigartige Teamatmosphäre, flache Hierarchien zu unserem CEO Alex sowie eine offene Feedbackkultur, jährliche Teamworkshops auf unserem Data.Castle im Zillertal, gelebtes Data.Musketeer Prinzip – "einer für alle, alle für einen!", unser [at] Buddy Programm zur besseren Vernetzung, regelmäßig stattfindende Fach- und Freizeitevents, hundefreundliche Büros Fachliche & persönliche Entwicklung Intensiver Onboarding- & Einarbeitungsprozess, persönlicher Entwicklungsplan und individuelle Weiterbildungsmöglichkeiten, vielfältiges Workshop- und Schulungsangebot innerhalb der Data.Academy durch unsere erfahrenen Data.Musketeers sowie externen Anbieter, Führungs-, Projektleiter- und Expertenlaufbahn Vergütung & Zusatzleistungen Kita-Zuschuss, Betriebliche Altersvorsorge mit 20% Bezuschussung, zahlreiche Corporate Benefits & Mitarbeiterangebote (z.B. für Events und Reisen), Startguthaben in unserem internen Merchandise-Shop, kompetitives Gehalt mit variablen Anteilen Gesundheit & Wohlbefinden Mental Health & Wellbeing Support sowie Coaching und Meditation durch nilo.health, Fitness- und Yogaräume im Münchner Office, regelmäßige Mitarbeiterumfragen, EGYM Well Pass Mitgliedschaft mit Plus1 Option, Fahrradleasing über Jobrad nach der Probezeit, interne Gruppen für sportliche Aktivitäten, kostenlose Heiß- und Erfrischungsgetränke sowie frisches Obst im Office, Dachterrasse (Grill) Mobilität Zuschuss zum Deutschlandticket, zentrale Lage der Offices, gute Anbindung an den Öffentlichen Nahverkehr, Möglichkeit von anderen Standorten zu arbeiten Ansprechpartnerin Janine Sauer, Senior HR Manager Find Jobs in Germany on Arbeitnow

About Sony Music Entertainment At Sony Music Entertainment, we fuel the creative journey. We've played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We've nurtured some of music's most iconic artists and produced some of the most influential recordings of all time. Today, we work in more than 70 countries, supporting a diverse roster of international superstars, developing and independent artists, and visionary creators. From our position at the intersection of music, entertainment, and technology, we bring imagination and expertise to the newest products and platforms, embrace new business models, employ breakthrough tools, and provide powerful insights that help our artists push creative boundaries and reach new audiences. In everything we do, we're committed to artistic integrity, transparency, and entrepreneurship. Sony Music Entertainment is a member of the Sony family of global companies. Sony Music is looking for a Senior Product Manager, Data to join our talented product team in our London office and lead the development of a portfolio of shared data products. Our products and teams work with data spanning streaming, fan engagement, social and creator activity, and commerce. As new datasets and requirements emerge, we need to understand what the data contains, establish what it means and make it useful beyond the team or product where it originated. You will own the strategy, roadmap and delivery of a portfolio of shared data products. Working with business stakeholders, source-product owners and data engineering, you will turn business needs into clear requirements, deliver dependable datasets and establish definitions and relationships that can be reused across products. What you'll do: Own the strategy and roadmap for a portfolio of shared data products, with a focus on developing new datasets to meet emerging business needs. Understand needs across teams, identify valuable opportunities and prioritise a portfolio of initiatives that supports artist teams and the wider business. Turn business requests into well-defined data initiatives. Meet the people who produce and use the data, examine source datasets and establish the questions users need to answer, the information required and the measures of success. Define reusable datasets with engineering. Agree on the records, fields, relationships, quality, freshness and access requirements needed for each use case you're defining. Establish clear acceptance criteria and resolve tradeoffs with stakeholders and engineers. Lead delivery and adoption. Maintain a prioritised backlog and work with engineering through implementation, validation, launch and ongoing improvement. Ensure the teams receiving the data can use it to meet the agreed need. Steward shared definitions and data models. Work with domain experts and engineers to establish consistent definitions, identifiers, relationships and metrics. Develop the shared semantic layer through the initiatives you deliver, so concepts such as artists, tracks, markets, campaigns and audiences can be understood consistently across products. Connect datasets to enable new capabilities. Identify where combining data creates value and lead the product work required, including opportunities to relate streaming performance to social activity, campaigns, fan engagement and commerce. Make data discoverable and understandable. Ensure data products have clear documentation, usage examples and known limitations, helping analysts, data scientists and downstream product teams use them confidently. Help develop and apply practical data standards. Partner with leadership, engineering and relevant specialists on quality, ownership, access, lineage and appropriate use. Translate these expectations into requirements for the data products you lead. Agree responsibilities for ongoing use of the data products you deliver. Work with source-product owners and engineering teams to establish how source changes, maintenance, quality issues and communication with users will be handled for those initiatives. Measure adoption and impact. Gather user feedback and evidence of usefulness, track whether the capabilities delivered meet their intended outcomes and use those findings to inform the roadmap. Build stakeholder alignment. Explain priorities and investment decisions, communicate progress and translate technical considerations into clear business implications. You will work closely with our existing Data Platform product and engineering teams, coordinating priorities and dependencies with the platform migration and operational roadmap. You will also partner with source-product PMs and the teams building on the shared data products you deliver. Who you are: You have a track record of leading data products or platform capabilities from discovery and strategy through delivery, adoption and ongoing improvement. You can set a clear product direction and prioritise pragmatically, balancing business value, user needs, technical constraints and dependencies across teams You are comfortable examining source data and working through detailed requirements with business experts, analysts and engineers.. You have experience turning fragmented data and business requirements into reusable datasets, shared capabilities or data products that support multiple use cases. You have a strong understanding of modern data platforms, including Snowflake or comparable cloud data warehouses, and can work effectively with engineers on data ingestion, modelling, pipelines and downstream consumption. You understand semantic layers and shared data definitions, and can work with business and technical partners to establish consistent meaning across products and domains. You can make informed product decisions about data quality, freshness, ownership, access and lineage, with an understanding of privacy and appropriate data use. You are comfortable working across product boundaries, clarifying responsibilities and influencing teams whose roadmaps and priorities may differ. You have strong analytical and organisational skills, with the ability to translate complex problems into clear requirements, priorities and delivery plans. You communicate effectively with technical teams, business stakeholders and executives, creating alignment around both the work and the outcomes it should deliver. You have strong documentation skills and can make data products, definitions and decisions understandable to the teams that depend on them. You focus on whether people can use and rely on the capabilities you deliver, with experience measuring adoption, usefulness and business impact. Bonus Points: Experience working in the music or entertainment industry, particularly with streaming, consumption or artist audience data. Experience with fan engagement, social and creator analytics, marketing campaigns, D2C commerce or customer data platforms. Experience connecting data across platforms through shared identifiers, entity relationships or audience segmentation. Experience building data capabilities that support analytics, marketing intelligence or AI-powered products. Experience with data catalogs, observability tools or business intelligence platforms such as Sigma. Experience managing global or enterprise-scale data products, platform migrations or change management. What we give you: You join a vibrant global community with the opportunity to channel your passion every day. A modern office environment designed for you, empowering you to bring your best. Investment in your professional growth and development enabling you to thrive in our vibrant community. The space to accelerate progress, positively disrupt and create what happens next. We give you the platform to champion positive change, with the opportunity to contribute to our social impact, diversity, equity and inclusion initiatives. We provide an excellent range of benefits like private medical cover, a generous pension scheme, life assurance, income protection, plus loads of music industry perks. There's also time off over winter break. Equal Opportunities As an active part of a culturally and socially diverse society, Sony Music's aim is that our workforce is diverse and inclusive. Sony Music is an equal opportunity employer and supports workforce diversity. We employ, retain, promote and otherwise treat all employees and job applicants according to their merit, qualifications, competence and talent. We apply this policy without regard to any individual's sex, race, religion, origin, age, sexual orientation, marital status, medical condition or disability. Privacy Policy Please click here to read our privacy policy before beginning the application process as you will need to agree to the terms of the policy before submitting your information. Please note that applicants must be at least 18 years of age Find Jobs in United Kingdom on Arbeitnow

Startdatum Wir suchen Dich ab sofort an einem unserer deutschen Standorte in München, Nürnberg, Leipzig, Berlin, Frankfurt am Main oder Essen ! Deine Aufgaben Data und AI sind Dein zu Hause? Des Weiteren gestaltet sich Deine neue Herausforderung wie folgt: Du gestaltest und leitest zielstrebig herausfordernde Data Science Projekte in einem interdisziplinärem Team Routiniert erkennst Du die Bedürfnisse Deines Kunden und entwickelst effektive, datengetriebene Lösungen Aus den Datensätzen Deiner Kunden extrahierst Du die für die Aufgabenstellung entscheidenden Daten Du kreierst innovative Lösungen mithilfe moderner Methoden aus den Bereichen Statistik, Machine Learning, mathematischer Optimierung und Visual Analytics Enge Zusammenarbeit mit Deinem Tribe Lead (Vorgesetzte:r) Du kommunizierst Deine Ergebnisse erfolgreich Deinem Kunden und begleitest anschließend die umfassende Implementierung Deiner Idee zusammen mit dem Data Engineering Team Als Expert:in mit Fachwissen nimmst Du an Kundenterminen teil Dein Profil Data ist auch in Deiner DNA ? Das solltest Du mitbringen: Abgeschlossenes Studium im Bereich Informatik, Data Science, Mathematik oder einem datengetriebenem Studiengang Fließende Deutsch- und Englischkenntnisse in Wort und Schrift sind erforderlich Starke analytische Fähigkeiten und die Fähigkeit, komplexe technische Konzepte verständlich zu kommunizieren sowie out-of-the-box-thinking Hohes Engagement für kontinuierliches Lernen und Erproben neuer Tools und Technologien. Mindestens 5 Jahre Projekterfahrung im Data Umfeld, idealerweise in einem Beratungsunternehmen Mindestens 3 Jahre praktische Erfahrung mit Cloud Technologien (Azure, AWS) Sehr gute Kenntnisse in Software Development (Python, object oriented) Praktische Erfahrung in Data Science Bereichen wie LLMs/NLP (z.B. Transformer, Conversational AI) oder Computer Vision (z.B. Stable Diffusion, OCR) Wir bieten Data bewegt uns! Was Dich auf Deiner persönlichen Journey erwartet, findest Du hier: Work-Life-Balance Vertrauensarbeitszeit mit flexibler Arbeitszeitgestaltung, hybrides Arbeitsmodell, workation – nutze die Möglichkeit aus dem EU-Ausland zu arbeiten Kultur & Zusammenarbeit Einzigartige Teamatmosphäre, flache Hierarchien zu unserem CEO Alex sowie eine offene Feedbackkultur, jährliche Teamworkshops auf unserem Data.Castle im Zillertal, gelebtes Data.Musketeer Prinzip – "einer für alle, alle für einen!", unser [at] Buddy Programm zur besseren Vernetzung, regelmäßig stattfindende Fach- und Freizeitevents, hundefreundliche Büros Fachliche & persönliche Entwicklung Intensiver Onboarding- & Einarbeitungsprozess, persönlicher Entwicklungsplan und individuelle Weiterbildungsmöglichkeiten, vielfältiges Workshop- und Schulungsangebot innerhalb der Data.Academy durch unsere erfahrenen Data.Musketeers sowie externen Anbieter, Führungs-, Projektleiter- und Expertenlaufbahn Vergütung & Zusatzleistungen Kita-Zuschuss, Betriebliche Altersvorsorge mit 20% Bezuschussung, zahlreiche Corporate Benefits & Mitarbeiterangebote (z.B. für Events und Reisen), Startguthaben in unserem internen Merchandise-Shop, kompetitives Gehalt mit variablen Anteilen Gesundheit & Wohlbefinden Mental Health & Wellbeing Support sowie Coaching und Meditation durch nilo.health, Fitness- und Yogaräume im Münchner Office, regelmäßige Mitarbeiterumfragen, EGYM Well Pass Mitgliedschaft mit Plus1 Option, Fahrradleasing über Jobrad nach der Probezeit, interne Gruppen für sportliche Aktivitäten, kostenlose Heiß- und Erfrischungsgetränke sowie frisches Obst im Office, Dachterrasse (Grill) Mobilität Zuschuss zum Deutschlandticket, zentrale Lage der Offices, gute Anbindung an den Öffentlichen Nahverkehr, Möglichkeit von anderen Standorten zu arbeiten Ansprechpartnerin Janine Sauer, Senior HR Managerin Find more English Speaking Jobs in Germany on Arbeitnow

Join the battery cell data revolution⚡ Location: Chemnitz (onsite preferred, hybrid possible) · Position: Full-time · Start: As soon as possible Who We Are 🌍 Limatica measures what batteries whisper. We turn the tiny voltage noise of battery cells into a quality verdict, far faster than conventional tests, and help cell manufacturers cut scrap. We are a team of twelve in Chemnitz and Munich, spanning data, ML, HPC, hardware and industrialization. Early adopters across Europe and Asia already use our technology. In 2026 we move from pilots to production lines, and our data grows faster than our team. What You'll Do 🔧 Our measurement stations produce several hundred GB of high-resolution voltage data per hour. You own the step from raw signal to reliable answer. • Work with novel cell noise data: Derive features from raw time series that make physical sense that hold up in production • Build for streaming: Design feature computations that work in streaming mode, at a throughput of up to 10,000 measurements per hour. • Make throughput a design decision: Build modular, parameterizable nodes for our distributed processing pipeline and help bring them into our Rust-based production environment. • Ship modules, not scripts: Automate evaluations end to end, from raw data to reports for our engineering team and our customers. • Own customer projects technically: Assess requirements, communicate interim results and findings, and turn feedback into improvements. What You Bring 🕵️ • Measurement experience: A degree in electrical engineering (or comparable) and 3+ years with real-world measurement data. Sampling, noise, filtering and artifacts you know from practice, not just lectures. • Physical intuition: You can explain why a feature makes sense, and you prefer a simple, well-understood method over a model nobody can explain. • Data at scale: You think in throughput: data formats, intermediate results, distributed and cached processing. • Clean engineering: Python, Git, tests and CI/CD as a matter of course. No Rust expertise needed, but the will to learn it. • Customer confidence: Fluent German and English, written and spoken. You explain results clearly to engineers and managers alike. Why Limatica 🚀 • Real ownership: Your own part of the pipeline and your first customer project within months. As we grow, this role can grow into technical lead. • Learn what few get to learn: Electrochemistry, Rust in production and data engineering at scale, with real cells and international manufacturers. • Share the upside: Salary package including virtual stock options. • Invest in yourself: Additional holiday for personal learning • Flexibility & wellbeing: Flexible hours, hybrid work, further benefits via Guud Card and free beverages What it's like here: You get a lot of trust and a lot of room to shape things. We look for people who stay with a problem until it's solved and who enjoy the moments when a customer launch needs the whole team. Those are the moments where people here grow fastest. This role is intentionally a towards-senior position. You will take on increasing responsibility for pipeline modules and customer projects. Those who help shape the architecture and lead projects independently grow into a senior role with us. Apply ✉️ Apply via the Link with your CV and with a few lines on the trickiest measurement artifact you've ever hunted down. That tells us more than any cover letter. Code samples or a GitHub link are welcome, not required. Ready to find the signal in the noise? Let's build the future of battery diagnostics together. ⚡ Find more English Speaking Jobs in Germany on Arbeitnow

Our goal is to have a solar system on every roof, a storage unit in every house, and an electric car in every garage. Enpal makes this possible with an integrated total solution for decentralized energy—from solar systems and battery storage to wall boxes, smart meters, and heat pumps. At the heart of it all is our AI-powered platform Enpal.One +, which intelligently connects thousands of systems and efficiently optimizes electricity procurement and feed-in on the energy market. Are you ready for solutions that are more than just a promise and bring real quality of life to thousands of households every day? What you create at Enpal will deliver clean electricity tomorrow and bring about lasting change in how we use energy. We are looking for a Data & Analytics Manager to lead an international BI and Data Analytics team across EMEA. This hands-on role combines people management, technical leadership, stakeholder management, and end-to-end data project delivery. You will translate business priorities into execution plans, guide technical decisions, unblock the team, and deliver reliable data products for BI, self-service analytics, and AI-enabled use cases. What you'll do Lead, coach, and develop an international BI and Data Analytics team. Build a motivating, accountable, and change-oriented team environment. Model clean, documented datasets in dbt, from staging through to marts. Own tests, documentation, metric definitions, data contracts, and version control workflows. Develop a semantic layer with governed metrics and dimensions. Drive the ongoing adoption of dbt best practices, ensuring models and documentation are consistent, well-structured, and ready for AI-powered analytics. Support team in the diagnosis of source data issues, reconciliation inconsistencies, and establishment of a single source of truth. Support data migration, ELT pipelines, and data platform consolidation. Optimize Snowflake performance, data freshness, and data quality. Own and continuously improve the processes that keep our data platform reliable. Use Python for data checks, automation, and utilities. Partner with BI and business teams to deliver certified datasets, self-service standards, and end-to-end reporting solutions. Translate business needs into scalable data products and governed metrics. Turn business priorities into project plans, identify risks and trade-offs, unblock the team, and drive delivery to completion. Mentor the team on analytics engineering best practices, modern tooling, and AI-assisted development. What you'll bring 3+ years of experience in Analytics Engineering, BI Development, Data Engineering, or a related field, including 1+ years of people or team leadership. Expert-level SQL and strong data modeling and architecture skills, including star schemas, semantic layers, governed metrics, data contracts, and ELT pipelines. Hands-on experience building production-grade dbt projects, including staging-to-marts layering, tests, documentation, ownership, and version-control workflows. Snowflake experience, including query performance optimization, data freshness, and quality monitoring. Python skills for data checks, automation, and utilities. Experience with data quality and operations, including testing, monitoring, source-data reconciliation, CI/CD, data cataloging, and cost/performance tuning. Experience creating dbt models and documentation, AI-ready data products, and using AI-assisted development tools. Experience delivering certified datasets, self-service standards, and BI/reporting solutions end-to-end. Strong stakeholder management and communication skills, with a hands-on, entrepreneurial, and problem-solving mindset. A motivational leadership style, positive drive for change, and confidence to challenge assumptions and make decisions. Nice to have Experience with semantic layer tools such as dbt MetricFlow or Snowflake Semantic Views. Experience with AWS, Azure, or GCP. Experience leading distributed or international teams. German language skills. German is a strong plus but not mandatory. Are you interested even if you don't meet all the requirements? Apply anyway! We look forward to discovering your potential—regardless of whether your experience meets every single requirement. ☀️ What we offer Work at Germany's first green unicorn - Play an active role in shaping the solar energy transition. The sun shines all over the world - At Enpal, you'll work with a highly motivated, diverse team of over 65 nationalities. The ideal setup for your focus - We are convinced that excellent results are achieved when the conditions are right. That's why we rely on a hybrid working concept that gives you the freedom to always work in the way that best suits your tasks. Do you need new inspiration on an international level? With Workflex, we offer you the opportunity to relocate abroad for up to 30 days a year, depending on your responsibilities. Grown-up business & startup spirit - In our modern office in Berlin-Friedrichshain, you'll find everything your heart desires, from height-adjustable desks and table tennis to stocked beverage fridges and barista coffee. Your kick-start at Enpal - Onboarding day with a welcome bag, buddy program, and a team that really supports you. Stay up to date & help shape the future - Transparent all-hands meetings, short decision-making processes, and an open feedback culture - without mistakes, there is no progress. The energy transition can only be achieved together - At Enpal, you can expect legendary team spirit and unforgettable team events. Your extra boost - 29 + 2 vacation days, discounted membership at Wellhub, and corporate benefits. Everything you need to help you achieve a good work-life balance. At Enpal, we are proud of the diversity of our team. No decisions are made on the basis of skin colour, religion or religious belief, ethnic or national origin, nationality, gender identity, sexual orientation, disability or age, either during recruitment or employment. Enpal stands for a safe workplace and takes action against discrimination and harassment of any kind. Find Jobs in Germany on Arbeitnow

Our goal is to have a solar system on every roof, a storage unit in every house, and an electric car in every garage. Enpal makes this possible with an integrated total solution for decentralized energy—from solar systems and battery storage to wall boxes, smart meters, and heat pumps. At the heart of it all is our AI-powered platform Enpal.One +, which intelligently connects thousands of systems and efficiently optimizes electricity procurement and feed-in on the energy market. Are you ready for solutions that are more than just a promise and bring real quality of life to thousands of households every day? What you create at Enpal will deliver clean electricity tomorrow and bring about lasting change in how we use energy. We are looking for a BI & Data Analytics Team Lead to lead an international BI and Data Analytics team across EMEA. This hands-on role combines people management, technical leadership, stakeholder management, and end-to-end data project delivery. You will translate business priorities into execution plans, guide technical decisions, unblock the team, and deliver reliable data products for BI, self-service analytics, and AI-enabled use cases. What you'll do Lead, coach, and develop an international BI and Data Analytics team. Build a motivating, accountable, and change-oriented team environment. Model clean, documented datasets in dbt, from staging through to marts. Own tests, documentation, metric definitions, data contracts, and version control workflows. Develop a semantic layer with governed metrics and dimensions. Drive the ongoing adoption of dbt best practices, ensuring models and documentation are consistent, well-structured, and ready for AI-powered analytics. Support team in the diagnosis of source data issues, reconciliation inconsistencies, and establishment of a single source of truth. Support data migration, ELT pipelines, and data platform consolidation. Optimize Snowflake performance, data freshness, and data quality. Own and continuously improve the processes that keep our data platform reliable. Use Python for data checks, automation, and utilities. Partner with BI and business teams to deliver certified datasets, self-service standards, and end-to-end reporting solutions. Translate business needs into scalable data products and governed metrics. Turn business priorities into project plans, identify risks and trade-offs, unblock the team, and drive delivery to completion. Mentor the team on analytics engineering best practices, modern tooling, and AI-assisted development. What you'll bring 3+ years of experience in Analytics Engineering, BI Development, Data Engineering, or a related field, including 1+ years of people or team leadership. Expert-level SQL and strong data modeling and architecture skills, including star schemas, semantic layers, governed metrics, data contracts, and ELT pipelines. Hands-on experience building production-grade dbt projects, including staging-to-marts layering, tests, documentation, ownership, and version-control workflows. Snowflake experience, including query performance optimization, data freshness, and quality monitoring. Python skills for data checks, automation, and utilities. Experience with data quality and operations, including testing, monitoring, source-data reconciliation, CI/CD, data cataloging, and cost/performance tuning. Experience creating dbt models and documentation, AI-ready data products, and using AI-assisted development tools. Experience delivering certified datasets, self-service standards, and BI/reporting solutions end-to-end. Strong stakeholder management and communication skills, with a hands-on, entrepreneurial, and problem-solving mindset. A motivational leadership style, positive drive for change, and confidence to challenge assumptions and make decisions. Nice to have Experience with semantic layer tools such as dbt MetricFlow or Snowflake Semantic Views. Experience with AWS, Azure, or GCP. Experience leading distributed or international teams. German language skills. German is a strong plus but not mandatory. Are you interested even if you don't meet all the requirements? Apply anyway! We look forward to discovering your potential—regardless of whether your experience meets every single requirement. ☀️ What we offer Work at Germany's first green unicorn - Play an active role in shaping the solar energy transition. The sun shines all over the world - At Enpal, you'll work with a highly motivated, diverse team of over 65 nationalities. The ideal setup for your focus - We are convinced that excellent results are achieved when the conditions are right. That's why we rely on a hybrid working concept that gives you the freedom to always work in the way that best suits your tasks. Do you need new inspiration on an international level? With Workflex, we offer you the opportunity to relocate abroad for up to 30 days a year, depending on your responsibilities. Grown-up business & startup spirit - In our modern office in Berlin-Friedrichshain, you'll find everything your heart desires, from height-adjustable desks and table tennis to stocked beverage fridges and barista coffee. Your kick-start at Enpal - Onboarding day with a welcome bag, buddy program, and a team that really supports you. Stay up to date & help shape the future - Transparent all-hands meetings, short decision-making processes, and an open feedback culture - without mistakes, there is no progress. The energy transition can only be achieved together - At Enpal, you can expect legendary team spirit and unforgettable team events. Your extra boost - 29 + 2 vacation days, discounted membership at Wellhub, and corporate benefits. Everything you need to help you achieve a good work-life balance. At Enpal, we are proud of the diversity of our team. No decisions are made on the basis of skin colour, religion or religious belief, ethnic or national origin, nationality, gender identity, sexual orientation, disability or age, either during recruitment or employment. Enpal stands for a safe workplace and takes action against discrimination and harassment of any kind. Find more English Speaking Jobs in Germany on Arbeitnow

KTH Shelburne is now accepting applications for a *Material Handler/ Forklift Operator*. Successful candidates for this position must be team players and able to work in a fast paced, manufacturing environment. KTH Shelburne is a leader in automotive frame components. We have built a team environment where all of our associates contribute to our overall success. *Starting Wage: $22.80/ hour* *Material Handler/ Forklift Operator Job Duties include:* * Ensuring that forklifts are in good working condition through daily inspections * Provide parts to production lines in a safe and timely manner * Load/unload trailers in a safe, accurate and timely manner following operation standards and dock side manuals * Receive incoming supply trailers and putting in correct location within the plant *What we look for:* * 1-2 years of experience working in a physically demanding environment is required * Previous Forklift operating experience is required (Propane Counter Balance) * Ability to work a two-shift rotation (days and afternoons) *The Perks:* * Competitive wages including shift premiums and an attractive vacation package * Group benefits available after 3 months ? vision, medical and dental * Work boot and safety glasses allowance * Attendance incentives and annual performance bonus In accordance with the OHRC and the AODA, KTH is committed to providing accommodation in its recruitment processes to applicants with disabilities, upon request. If you require accommodation at any time during the recruitment process or in order to successfully submit an application, please reach out to a member of the KTH Human Resources department. Please note that this position is for an existing vacancy. Job Types: Full-time, Permanent Pay: From $22.80 per hour Benefits: * Company events * Dental care * Employee assistance program * Extended health care * Life insurance * On-site parking * Vision care Ability to commute/relocate: * Shelburne, ON: reliably commute or plan to relocate before starting work (required) Experience: * Forklift: 2 years (required) Work Location: In person

*LKQ* *Canada Auto Parts Inc.* is currently recruiting for a full time *Mon-Fri, 8:30am-5:00pm* indoor forklift driver to join our team. The forklift is a smaller warehouse style that will be used inside in tight spaces and outside in the elements. We offer a good benefit package, competitive wages and a pension plan. We require someone who is capable of lifting 50lbs repeatedly throughout the day, able to get in and out of a forklift repetitively, familiar driving warehouse type equipment, safety conscious, pays attention to detail, organized and can work under varied workloads. Apply online. Job Types: Full-time, Permanent Pay: From $18.00 per hour Benefits: * Dental care * Employee assistance program * Extended health care * On-site parking * Paid time off * RRSP match Experience: * Forklift or Order Picking: 1 year (required) Licence/Certification: * Drivers License (required) Work Location: In person

Job Description Job Description Warehouse Associate Mississauga, ON $20.05/hour | Full-Time | Day Shift | Weekly Pay Join a Fast-Paced Manufacturing Team 3PL Inc. is currently recruiting a Warehouse Operator for an established food manufacturing facility in Mississauga. This is a great opportunity for someone with warehouse experience who enjoys staying active and takes pride in accuracy, organization and getting the job done right. What You'll Do Receive and verify incoming products and materials Pick, stage and prepare customer orders for shipment Load and unload trucks using material handling equipment Complete shipping, receiving and inventory documentation Perform inventory counts and assist with stock control Use RF scanners to track product movement Rotate inventory using FIFO/FEFO procedures Maintain accurate product and lot traceability Keep warehouse, staging and dock areas clean and organized Work closely with Production, Quality and Logistics teams What We're Looking For Previous warehouse or shipping/receiving experience Forklift and/or walkie/rider pallet jack experience preferred Food, beverage or dairy experience is an asset Comfortable using RF scanners and completing documentation Strong attention to detail and inventory accuracy Reliable, punctual and team-oriented Able to lift up to 50 lbs Comfortable with repetitive lifting, bending and case picking Able to work in refrigerated areas (approximately 0-4°ree;C) The physical and refrigerated-work requirements are specifically identified in the client description. Food Safety & Quality This position works within a food manufacturing environment. Employees are required to follow established GMP, HACCP, SQF, hygiene and food-safety procedures . Why Join 3PL Inc.? $20.05/hour Full-time day shift Weekly pay Consistent hours Hands-on role with variety Established food manufacturing environment Safety and quality-focused workplace Apply Today! If you have warehouse experience, enjoy a hands-on environment and are looking for a full-time day shift in Mississauga , we want to hear from you. Apply today for immediate consideration! This position is offered through 3PL Inc. , a licensed Recruiter and Temporary Help Agency. Successful candidates will be employed by 3PL Inc. and assigned to client worksites. This posting represents an existing vacancy and does not require Canadian experience. Equivalent experience gained in other jurisdictions is welcome. This position offers full time hours on a temporary / assignment basis. This assignment is based on client operational requirements and may be extended, shortened, or concluded at any time. Any changes will be communicated by 3PL Inc. . 3PL Inc. may use automated or artificial intelligence-based tools to assist with candidate screening or assessment during the recruitment process. All final hiring and placement decisions are made by a human recruiter. \nCompany Description Discover the 3PL Inc. Advantage At 3PL Inc., we specialize in connecting talente

Education: Secondary (high) school graduation certificate. or equivalent experience. Work setting: Willing to relocate. Warehouse. Tasks: Load, unload and move products and materials by hand or with basic material handling equipment. Ship orders. Pick orders and stock. Weigh materials and goods. Wrap goods. Pack and unpack goods. Organize and maintain inventory. Work conditions and physical capabilities: Fast-paced environment. Attention to detail. Large workload. Weight handling: Up to 23 kg (50 lbs). Personal suitability: Adaptability. Quick learner. Dependability. Reliability. Team player. Screening questions: Do you have experience working in this field?. Experience: 7 months to less than 1 year. Employment terms options: Evening. Morning. Day. Other benefits: Free parking available. Support for persons with disabilities: Offers mentorship, coaching and/or networking opportunities for persons with disabilities . Support for newcomers and refugees: Offers mentorship programs that pair newcomers and/or refugees with experienced employees . Support for youths: Offers mentorship, coaching and/or networking opportunities for youth. Support for Veterans: Offers mentorship, coaching and/or networking opportunities for Veterans. Support for Indigenous people: Offers mentorship, coaching and/or networking opportunities for Indigenous workers . Support for mature workers: Offers mentorship, coaching and/or networking opportunities for mature workers . Supports for visible minorities: Offers mentorship programs that pair members of visible minorities with experienced employees.

Education: Secondary (high) school graduation certificate. or equivalent experience. Work setting: Various locations. Tasks: Operate various vehicles and equipment. Report any malfunctions to supervisor. Certificates, licences, memberships, and courses : AZ class license. DZ class license. Air Brake (Z) Endorsement. Truck or equipment experience: Garbage truck. Salt truck. Snow transportation truck. Security and safety: Driver's validity licence check. Driving record check (abstract). Transportation/travel information: Driver's abstract. Vehicle supplied by employer. Valid driver's licence. Work conditions and physical capabilities: Combination of sitting, standing, walking. Hand-eye co-ordination. Physically demanding. Weight handling: Up to 23 kg (50 lbs). Own tools/equipment: Gloves. Steel-toed safety boots. Personal suitability: Excellent oral communication. Employment terms options: Early morning. Experience: 1 year to less than 2 years. Employment terms options: Day. Overtime required. Overtime available. Green job: Involves duties and responsibilities that lead to positive environmental outcomes.