Data Engineer

Über das Unternehmen
We are looking for people who believe in the positive power of energy and in their own ability to move things forward. People who know the importance of energy and infrastructure and recognize the immense opportunities they present to shape the future for everybody. Because we are just the same: a large, dynamic company that opens its door wide to people who want to join us in turning ideas into real change.

Unser Angebot
Remote work, home office, part-time roles, workation* – we are convinced that flexible working models help people to be more autonomous and engage in meaningful work. Our wide-ranging training and development opportunities and our extensive mentoring scheme also contribute to this – and all this at a secure employer like EnBW.

Further benefits:

• 30 days annual leave
• Financial extras such as vacation pay and Christmas bonus, profit-sharing, an employee savings plan, company pension scheme, energy price discount and child bonus
• Leasing options for mobile devices and bicycles
• Subsidy for office equipment when working mainly from home
• Discounted "Deutschland-Ticket" (train ticket)
• More about our various employer benefits at a glance
• Workation: Up to 30 calendar days at a time and up to 90 calendar days within a 12-month period, if the general conditions permit this in the chosen EU country

Vielfältige Aufgaben
Within the IT Trading department, we are currently looking for a Data Engineer - Data Provisioning/MLOps (Trading) to join our dynamic Data Backbone team. You will be an asset to our team if you have a deep understanding of data & ML platforms, data products, cloud architectures and common IT systems prevalent in European commodity trading. In this role your main responsibilities will be as follows:

• Data Product Development: Design and implement scalable data products that serve the needs of various business units while adhering to data mesh principles.
• Data Integration: Build and maintain data pipelines that integrate disparate data sources, ensuring data is accessible and reliable.
• Machine Learning Operations: Build and maintain production ready machine learning pipelines side by side with our data scientists.
• Collaboration: Work closely with domain teams and clients to understand their data needs and provide solutions that enhance data discovery and usability.
• Quality Assurance: Establish and enforce data quality standards, establish data quality frameworks and implementing best practices for data governance.
• Documentation: Create and maintain comprehensive documentation for data products, pipelines, and processes to facilitate knowledge sharing.
• Performance Optimization: Monitor and optimize data processing workflows for performance and efficiency, leveraging appropriate technologies.
• Tooling and Technology: Stay updated on industry trends and emerging technologies in data engineering and mesh architectures, recommending tools that enhance our capabilities.

Überzeugendes Profil
Who are we looking for? Someone who is determined, energetic and able to be a strong partner to our data domains and clients (model developers, data consumers, data stewards, etc.), applying best in class data solutions. Together with the team, you will develop data products, quality frameworks, data pipelines and offer and operate clever capabilities for ENBW Trading. If you have proven experience in the following areas, we should get to know each other:

• Proven experience as a Data Engineer, preferably in a data mesh environment.
• Knowledge of common data science tools, e.g. pandas, polars, scikit-learn etc.
• Proficiency in programming languages such as Python and C#.
• Strong experience with data integration tools and ETL processes (e.g. dbt).
• Familiarity with data storage solutions (e.g., SQL, NoSQL, Snowflake, data lakes).
• Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and related data- and data-monitoring services.
• Experience with data modelling, data warehousing, and analytics tools.
• Experience in model development both statistical and machine learning, including MLOps.
• Excellent problem-solving skills and the ability to work independently as well as in a team environment.
• Strong communication skills, with the ability to convey complex concepts to technical and non-technical stakeholders.
• Good English skills (mandatory), German is a plus.
• Knowledge in Energy Trading Sector is a plus.

Über den Bereich
EnBW is one of the largest energy supply companies in Germany and Europe, supplying electricity, gas, and energy-related products and services to 5.5 million customers. Within its trading business unit, the trading IT acts as a service provider and enabler in providing a broad range of tools, methods, and services to the trading needs. ENBW Trading is a data driven enterprise, requiring endless information about trade lifecycles, markets, meteorological data, asset data, client insight, etc.

Its Trading decisions are driven by data insights based on flexible solution to gather, transform, transport, manipulate, visualize and extract data. To support dynamics and opportunities in Trading a data backbone architecture has been established for Trading.

Our data backbone offers fundamental technical components to enable data domains (Market Data, PostTrade, etc.) supporting operational as well as analytical data store for real-time and delayed data. All architecture components are cloud only.

The team works remotely most of the time, but we meet regularly at our offices in Karlsruhe, Germany. Paired with our flexible working times this ensures you work where (in Germany) and when it suits you best.

Kontakt

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