Full-Stack Data Engineer - Strategic Portfolio Management

At Eneco, we're driving the energy transition forward with our 'One Planet plan' and striving to become the first CO₂-neutral energy company by 2035. Data plays a central role in helping us reach these ambitious objectives. In this role, you'll work alongside colleagues from diverse disciplines and backgrounds, including data scientists and portfolio managers, in an environment that values collaboration and continuous learning. Together, you'll advance Eneco's digital innovations and contribute meaningfully to a cleaner, more sustainable future. We support professional growth, celebrate achievements, and learn from every experience.

• Contribute directly to the energy transition through impactful data products.

• Join a collaborative environment that values knowledge sharing and diverse perspectives.

• Work in a multidisciplinary team of engineers, analysts and energy experts.

Full-Stack Data Engineer - Strategic Portfolio Management

What you’ll do

As a data engineer, you will play a leading role in developing data products, professionalizing code bases, and building reliable data pipelines. You will collaborate closely with your team and other stakeholders to deliver robust, scalable, and innovative data solutions, while also mentoring colleagues and guiding technical best practices. You'll work with a wide range of data sources, such as energy market simulations, (renewable) asset data, energy market data and data from internal processes. Your expertise will be key in processing and leveraging this data to generate valuable business insights, create new data products and strategies, and drive data-driven innovation across the organization. You will have the opportunity to take ownership of complex technical challenges, continuously improve our data infrastructure, and help ensure Eneco's data capabilities remain at the forefront of the energy sector.

Is this about you?

• Professional experience as a Data Engineer or in a related role (typically around 4+ years).

• Proficiency in data engineering responsibilities such as ETL/ELT, orchestration, warehousing, monitoring and alerting, system design and architecture control.

• Practical experience with managing data in projects and products, such as data modelling, architecture, governance, quality validation and documentation.

• Experience with modern cloud data platforms, for example Azure, Databricks, Snowflake, PowerBI, dbt, data factory or similar technologies.

• Solid engineering skills and the ability to implement solutions in collaboration with business stakeholders (DTAP, version control, testing, pipelines, CI/CD, data engineering best practices).

• Advanced proficiency in Python and SQL.

• Proactive, adaptable problem-solver with strong ownership, attention to detail, and clear communication/documentation.

• Experience working with business-oriented data scientists with a varying level of engineering skills.

• Affinity with energy trade and the energy system is a plus.

You’ll be responsible for

• Supporting data scientists and portfolio managers by preparing and making high-quality data easily accessible.

• Designing data products that are robust, trustworthy for business and easy to maintain and develop.

• Collaborating with stakeholders to gather and discuss project requirements and with the lead data engineer to align engineering priorities.

• Deploying, monitoring, and managing pipelines and applications in production.

• Writing well-documented code and reviewing code from colleagues, as well as providing technical guidance where needed.

• Align with other trade data engineers to ensure consistency in data products and engineering efforts.

This is where you’ll work

About the team

Strategic portfolio management is a team in the Eneco energy trade department that helps Eneco take decisions based on predicted future movements and developments in the energy market. Three fundamental themes can be distinguished, and as data engineer you will work on all three.

1. Energy system outlook: Maintain and update a forward-looking view of energy system developments through structured data products.

2. Pricing & valuation: Translate price and volume outlooks into inputs for generic portfolio pricing and valuation. Deliver insights and process recommendations to improve consistency and efficiency, excluding implementation.

3. Integral portfolio management: Integrate pricing and valuation analysis with a portfolio view to assess total risk and value impacts. The integral portfolio model (IPM) is the model used by Eneco to optimize its combined portfolios—such as wind, gas, and customer contracts—against market and price fluctuations.

As a data engineer, you’ll help these themes by automating workflows, developing the codebase, ensuring code and output quality, and upskilling the team in engineering principles.

What we have to offer

FlexBudget

Have it paid out, use it to buy extra holiday days or save it up for something nice, it's up to you.

Personal and professional growth

Eneco is fully committed to help you in your personal and professional development.

Hybrid working: home, office or abroad

Work 40% at the office, 40% from home, and 20% flexibly. With manager approval, you may work abroad (within approved countries) up to 3 weeks/year, max 2 consecutively.

Venetia.dewit@eneco.com