Senior Data Engineer d/f/m

RWE Supply & Trading GmbH

To start as soon as possible, full time / part time, permanent

Functional area: IT / Digital

Remuneration: tariff/non-tariff

Department Insights

It’s an exciting time to join us! The RWEST Data Platform Team is looking for a Senior Data Engineer to help shape the future of data, AI and analytics across our organisation, using modern cloud, Databricks and AI technologies to deliver scalable, trusted and business-critical data solutions.

Our Lead in Data (LiD) platform is the primary data analytics platform within the group and continues to transform how data is discovered, shared, onboarded and governed. By combining cloud-native data engineering with Databricks, advanced analytics and emerging AI capabilities, we are enabling faster access to high-quality market data and creating a stronger foundation for intelligent decision-making across trading, analysis and support functions.

We are looking for a curious, motivated technology enthusiast to join us as a Senior Data Engineer. You will work closely with business stakeholders, Data engineers, DevOps engineers and internal squads to define the future direction of our platform, explore innovative AI-enabled use cases, and help build robust data products that deliver measurable value.

If you are passionate about data formats, Databricks, engineering and the practical application of AI technologies, then apply now or contact me for an informal chat!

Your future responsibilities

• Take ownership of the technical design and evolution of our data analytics platform, integrating new use cases and data sources while ensuring strong performance, scalability, robustness, availability, maintainability and appropriate data latency.
• Explore and apply AI-enabled engineering tools and technologies, including code assistants, intelligent automation, data quality accelerators and emerging AI use cases that improve developer productivity, platform operations and user outcomes.
• Design and implement high-quality data pipelines and data products using strong SQL skills, modern data engineering patterns, cloud-native services, Spark and Databricks capabilities including notebooks, jobs, workflows and Delta Lake.
• Work confidently with common data formats and storage patterns such as Parquet, Delta, CSV, JSON and structured/semi-structured datasets, ensuring data is modelled, curated, documented and made available in a reliable and reusable way.
• Act as the interface between key business stakeholders, Product Owners, Data Engineers and DevOps Engineers, translating business requirements into clear technical backlog items, architecture decisions and delivery roadmaps.
• Shape and influence the technical delivery backlog with innovation ideas, platform enhancements, automation opportunities and technical requirements gathered from users, engineers, vendors and operational insights.
• Contribute as a senior technical problem solver in a multidisciplinary team, creating pragmatic solutions for complex data platform requirements with a strong focus on engineering quality, observability, security and operational excellence.
• Keep up to date with trends in data analytics, Lakehouse architecture, Databricks, AI/ML tooling, data governance and modern engineering practices, identifying where new technologies can solve real business and platform problems.
• Engage with platform vendors prioritising fixes, understanding product roadmaps, assessing technical and commercial impact, and managing usage, billing and adoption considerations.

Your powerful skills

• Extensive hands on experience developing large-scale data engineering solutions using Python, SQL, AWS Lambda and Terraform.
• Proven expertise in working with AI agents, LLM-powered applications, automation frameworks, and cloud-native data platforms.
• Able to translate business requirements into clear technical designs and improve existing solutions.
• Strong understanding of cloud architecture, production systems and resilient platform design.
• Collaborative mindset with a strong focus on delivering value to users.
• Good grasp of operational excellence, including availability, monitoring, security and robustness.
• Experience with DevOps practices, automation and reliable delivery processes.
• Confident communicator with customers, stakeholders and IT colleagues at all levels.
• Builds strong working relationships and collaborates effectively with peers.
• Clear, structured and proactive communication style.
• Able to manage differing views constructively and professionally.
• Inspires trust and confidence through ownership, clarity and reliability.
• Motivated self-starter who is independent, reliable and team-oriented.
• Fluent English communication skills, both verbal and written.

What we value most is passion, willingness to learn and a determined and resilient work ethic. So, if you can’t display all of the skills above then we would still love to hear from you!

Advantageous, but not a must

• Experience of coaching and / or mentoring colleagues
• Collaboration and sharing of expertise to others across the organisation

Benefits you can rely on

• Working in one of the most interesting business contexts; a mixture of energy supply, trading and of course IT!
• Working in an large agile team on things which matter
• Evolve your skills together with us – we offer comprehensive on the job learning as well as support from internal experts to develop your existing skills even further
• Competitive salary plus annual discretionary bonus
• Open and diverse company culture