Ai jobs in Germany

Engelhart was founded in 2013 by BTG Pactual Group as a commodities trading company. Our business model is “asset light” and highly diversified – giving us the ability to adapt effectively and nimbly to changing market conditions. We have assembled successful multidisciplinary teams, leveraging advanced fundamental analysis with deep quantitative and weather research capabilities. Our activities are underpinned by strong risk management practices and by powerful technology and operational excellence. We have exceptional teams with diverse global backgrounds and decades of experience, and are driven by a highly collaborative culture, across products and competencies.

In 2024, Engelhart acquired Trailstone, a global energy trading and technology company. The acquisition provides us with new expertise, analytics and proprietary technology which is being used to provide risk management and optimisation services to help maximise the value of our clients’ renewable power. The acquisition also expanded Engelhart’s capabilities into physical natural gas across North America, a critical fuel to support the energy transition.

Our talented and experienced individuals work together according to its four company values: be bold, be collaborative, be proactive, be your best.

Technical Product Manager – Berlin, Germany

Full Time | Hybrid Working

As a member of the Tech Data, AI & UX team, you will join as a Technical Product Manager helping to shape and evolve our data analytics platform. You will streamline data onboarding, distribution and visualization - turning data into accessible, impactful business products.

You will own the roadmap for our custom data platforms and work cross‑functionally to align business needs with data architecture, pipelines, and user experience to ensure users can trust, discover, and work with high-quality data efficiently.

We deliver solutions that support analytics and decision-making across trading and research. Our team values iterative agile delivery, strong collaboration, and continuous improvement in data quality, performance, and usability - using cloud, containers, AI/ML, and modern data engineering practices.

This role offers an exciting opportunity to contribute to both strategy and execution in a dynamic, fast-evolving environment. Core responsibilities are as follows:

• Own the roadmap: Help define, prioritize and plan feature development aligned with business goals and measurable outcomes.
• Translate needs into solutions: Partner with business to map requirements and turn them into clear deliverables and acceptance criteria.
• Orchestrate delivery: Connect architects, DBAs, data engineers and developers, remove blockers and ensure smooth implementation.
• Uphold data quality: Advocate standards for data quality, lineage, observability and usability ensuring data is reliable, accessible and fit for purpose.
• Be hands-on technical: Dive into designs and coding, reason about trade-offs in stack choices (e.g., warehouses vs. lakes, streaming vs. batch, containerized services, CI/CD).
• Drive self-service adoption: Promote higher adoption and improved user experience through self-service, an ease of use -supporting documentation, and feedback loops.
• Promote agile ways of working: Coach teams on agile practices on planning & executing scope, effort, and dependencies.
• Understand the market: Bring a strong understanding of EU Power & Gas, especially renewables, to shape features, data models, and analytics that matter.
• Communicate clearly: Provide crisp, regular updates to stakeholders and Technology leadership; support transparency and alignment through data-informed decision-making.

• Background in Engineering, Computer Science, Systems Analysis, Data Science, Information Systems, or substantive commensurate experience.
• Experience in Commodities or Financial Markets; interest in deepening knowledge of EU Power & Gas and Renewables.
• Proven end-to-end business analysis, requirements gathering, project ownership, removing blockers, shipping platform or data products across multiple stakeholders.
• Strong technical literacy:
  • Proficient in Python (especially for data parsing and transformation, Pandas).
  • Comfortable with SQL and analytics/time-series databases, data lakes or warehouses(e.g., SQL Server, Redshift), and caching strategies.
  • Understanding of AWS cloud architecture, containerization and CI/CD pipelines.
  • Familiar with APIs, messaging systems, and ETL/ELT patterns.
  • Awareness of broader AWS services (e.g. Lambda, Fargate, Kinesis, CloudWatch).
• Bias for action, ownership, solution-oriented approach to scope, estimates and milestones. Adaptable in the face of change or ambiguity.
• Excellent time management. Ability to prioritize and manage expectations on tight deadlines.
• Ability to influence across technical and business audiences, clear writing, structured thinking.

In addition, the following skills are not required, but highly desirable for this role:

• Quantitative / statistics grounding to collaborate with Data Science/ML teams.
• Experience with JIRA agile project management tools.
• Curiosity in emerging technologies surrounding AI, ML, IoT, etc.

• Competitive compensation and participation in Engelhart’s discretionary bonus plan.
• 28 days of annual holiday entitlement plus Berlin public holidays.
• €3,000 per year contribution to a private pension scheme on your behalf.
• €20 monthly subsidy towards BVG tickets.
• €25 monthly subsidy towards ClassPass membership.
• A sociable working environment with an open, international culture.

We believe in inclusivity and are therefore dedicated to ensuring all employees – across gender identity, race, ethnicity, sexual orientation, religion, life experience, background and more – feel welcome and included in the company. We promote diversity because we believe it is essential to our ability to think holistically.

We promote diversity and inclusion and are dedicated to ensuring all employees feel welcome and included in the company.