Senior Data Engineer (Embedded IT) (d/f/m)

Senior Data Engineer (Embedded IT) (d/f/m)

Location(s):

Essen, NW, DE, 45141

RWE Supply & Trading GmbH

To start as soon as possible, full time, permanent

Department Insights

Embedded IT sits at the pulse of our Trading Department. We dont just provide support; we are strategic partners to RWESTs Analysis and Trading Desks.

From Systematic Trading and Market Making to cutting-edge Weather Data Visualization, we build the engines that drive our success. Leveraging the latest cloud technologies, we transform complex data into actionable insights—ensuring that every innovative trading idea has the technical power to become a reality.

Your Impact

As a key member of the Embedded IT team, you will bridge the gap between complex data engineering, AI innovation, and real-time trading strategy. Your role involves:

Collaborative Solution Design

Partner directly with Traders and Analysts to capture, define, and implement high-impact use cases.

Own the end-to-end lifecycle of requirements, from initial clarification to robust testing and deployment.

Drive Collective Intelligence as part of a high-performing, cross-location team, where constant knowledge sharing and technical exchange are at the core of how we work.

Data Ecosystem & AI Integration

Expert Support: Act as the technical specialist for our modern Market Data Platform, leveraging Databricks, Dremio, and Tableau on AWS.

Data Integration: Lead the onboarding of new datasets, ensuring our desks have rapid access to market-critical information.

AI Acceleration: Identify and implement AI/ML solutions to automate data validation, enhance data quality, and accelerate processing workflows.

Automation: Architect and implement automated workflows for internal and external trading models.

Strategic Innovation

Systems Optimization: Take a holistic view of our data infrastructure to drive improvements in efficiency, reliability, and speed.

Technical Growth: Stay at the forefront of the industry by mastering the latest cloud and AI capabilities.

Future-Proofing: Proactively scout market developments to suggest and implement next-generation tools—leveraging AI to further enhance our trading capabilities.

Your Profile

We are looking for a senior-level engineer who thrives at the intersection of data architecture and business value. You should bring:

Technical Mastery

Engineering Excellence: Extensive professional experience with Python and Spark, backed by a deep understanding of SQL for complex data modeling.

Frontend Versatility: Proficiency in at least one modern JavaScript framework (e.g., React, Angular, or Vue) to help bring data to life through intuitive interfaces.

Cloud Architecture: A strong background in data storage and cloud infrastructure, with the ability to design systems that prioritize performance and scalability.

Domain Expertise: Proven experience working with time-series and forecast data. While experience in Energy Trading is a major plus, your ability to handle complex datasets is what matters most.

Mindset & Approach

The Consultants Edge: A track record of working directly with end-users to deconstruct complex problem statements and translate them into scalable technical solutions.

Growth & Mentorship: A strong growth mindset. While you are a senior, you are eager to master Databricks, Dremio, and Tableau and enjoy sharing your knowledge with the team.

Agile Native: Natural fluency in Agile methodologies, with a focus on continuous delivery.

Educational Foundation: A degree in Computer Science, Mathematics, or a related quantitative field—or equivalent deep-level professional experience.