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Principal Full-Stack Data Engineer

Eneco -
Rotterdam

Nu solliciteren

Vacaturegegevens

Fulltime
€ 93.000 - € 150.000 per jaar

Secundaire arbeidsvoorwaarden

Winstdeling
Werk vanuit huis
Flexibele werkuren

Kwalificaties

CI/CD
Datamodellering
Azure
Incidentmanagement
DevOps
Unity
APIs
Schaalbaarheid
Communicatieve vaardigheden

Volledige vacaturetekst

- > 5 jaar
- 40 uur

- Data & AI
- €93.000 - €150.000

Deel op social media:

Principal Full-Stack Data Engineer

- Eneco - Rotterdam
- Data & AI
- > 5 jaar
- €93.000 - €150.000
- 40 uur

Apply

Good to know: you can easily save this vacancy using the print button at the top of the page. After the closing date, this vacancy will be removed from our website.

Lead and shape mission-critical data and ML platforms that power Eneco’s entire energy balancing chain, from long-term forecasting to real-time trading at national scale.
Operate as a hands-on Principal Engineer who designs, builds, and unblocks complex, cross-team systems while setting the technical standard across data, ML, and platform engineering.
Have direct impact on the energy transition by modernizing and stabilizing high-stakes, time-series-driven data systems where reliability, governance, and performance truly matter.

Why choose Eneco?

At Eneco, we are accelerating the energy transition. With our ambitious One Planet Plan, we aim to be the first energy company to become climate neutral by 2035. That means no more reliance on fossil fuels — and a full focus on smarter, cleaner, and more resilient energy systems.

Achieving this requires data platforms that are reliable at scale and capable of supporting decisions across the entire energy value chain, from long-term forecasting and asset planning to near-real-time trading and balancing. As a Principal Full Stack Data Engineer, you will work on the systems that make this possible, modernizing and stabilizing mission-critical data and ML platforms, improving data quality and lineage, and setting technical standards across teams.

At Eneco, you combine deep technical ownership with real-world impact, working alongside strong engineering and product peers in an environment where engineering excellence directly supports both the energy system and the transition to a sustainable future.

What you’ll do

Eneco is accelerating the energy transition, and resilient, high-quality data systems are foundational to that mission. The energy balancing chain—from long-term forecasting, asset modeling and planning, all the way to short-term intraday trading—relies on reliable, well-architected, and scalable data platforms.

As a Principal Data Engineer, you will operate across multiple engineering domains, collaborating with various platform teams and supporting business-critical initiatives. You will tackle some of the most complex technical challenges in the energy value chain: stabilizing and re-architecting critical data systems, coordinating large engineering projects, improving data lineage and governance, and unblocking projects that impact multiple engineering and business teams.

This is a hands-on technical leadership role, not a conceptual “architect”. You will design, build, review, decide, and guide. You will work closely with Engineering Managers, Staff Engineers, and Product Managers to drive technical clarity and consistent engineering practices across the organization.

Is this about you?

Must-Haves

8+ years of experience in data engineering or software engineering, with at least 3 years in a senior, staff, or principal role driving multi-team technical decisions.
Deep hands-on expertise with Databricks, Delta Lake/Unity Catalog, Airflow, Snowflake, dbt, and Azure cloud services.
FDmonstrable experience designing, operating, and stabilizing mission-critical, distributed data systems where reliability, correctness, and continuity are essential requirements. Including end-to-end data pipelines, event-driven architectures, and platform integrations.
Strong understanding of data architecture, data modeling, streaming, data lineage, data quality frameworks, and metadata management.
Good knowledge across ML engineering, including feature engineering, model lifecycle management, experimentation, performance monitoring, and MLOps.
Solid knowledge of software engineering and DevOps fundamentals, including CI/CD, infrastructure as code, observability, containerization, API design, and operational excellence.
Experience with timeseries analytics environment (databases, analytics, processing and modelling).
Ability to drive alignment across engineering and product teams, especially in ambiguous or high-impact problem spaces.
Excellent written and verbal communication skills, with the ability to translate technical topics for both engineering and business stakeholders.

Nice to have

Experience in energy markets, commodity trading, or near-real-time operational systems.
Experience with forecasting platforms, ML lifecycle design, and integrating data & ML systems into production.
Familiarity with high-frequency or low-latency data processing patterns.

You’ll be responsible for

Driving large-scale system and architecture initiatives across long-term energy planning, long- and short-term trading, including data flows, integration with neighboring systems (provisioning, asset management, reporting), and the ongoing evolution of the data landscape.
Stepping in to unblock or lead complex engineering efforts—for example, clarifying and redesigning lineage for datasets in a domain, fixing systemic data quality issues, and improving cross-team integrations.
Shaping and reviewing technical designs, ensuring robustness, scalability, and alignment with Eneco’s enterprise architecture.

Hands-On Engineering & System Design

Leading the design and implementation of data and ML platforms and pipelines using Databricks, Delta/Unity Catalog, Airflow, dbt, Snowflake, Azure, and related services, applying best practices in data modeling, orchestration, storage, and streaming.
Modernizing and refactoring legacy data and ML workflows to enhance reliability, transparency in data lineage, maintainability, and management of metadata, lineage, content, and master data.
Designing and building systems that integrate data and ML pipelines with other platforms and user-facing products, while applying engineering best practices in DevOps, CI/CD, infrastructure as code, observability, and incident management.

Platform & Governance Alignment

Improving coherence and standardization across teams by promoting common patterns for ingestion, modeling, streaming/batch processing, feature engineering, ML model development, experimentation, testing, and serving.
Ensuring solutions meet Eneco’s standards for security, compliance, and operational resilience.

Mentorship, Enablement & Cross-Team Collaboration

Advising and supporting Engineering Managers and Senior Engineering Managers in technical decision-making (e.g., framework selection, architectural direction, build-vs-buy decisions).
Assisting with planning topics such as team sizing, hiring needs, and sequencing of technical roadmap items.
Sharing best practices, running design reviews, and coaching engineers to level up the engineering bar across eneco.

This is where you’ll work

You’ll work at the core of Eneco’s energy trading and forecasting domain, where data platforms directly support long-term planning, asset optimization, and near-real-time trading decisions. You’ll collaborate across multiple platform teams in a highly technical, business-critical environment, building and stabilizing data and ML systems where reliability, scalability, and governance are essential to keeping the energy system balanced.

What we have to offer

Gross annual salary between €93.000 and €150.000

Including FlexBudget, 8% holiday allowance, and depending on your role a bonus or collective profit sharing.

FlexBudget

Including FlexBudget, 8% holiday allowance, and depending on your role a bonus or collective profit sharing. 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.

Want more information about our terms of employment?

Here's what you get from us

Work Where Everyone Matters

When you choose a career at Eneco, you choose ambition, growth, and opportunity in an environment where everyone matters. You’re given the space to develop yourself and to do your work in a way that suits you. We believe that different perspectives, nationalities, and backgrounds make us stronger, which is why we foster an open, safe and inclusive culture. Naturally, we also prioritize a healthy work-life balance, flexible working hours, and the option to work from home when your role allows it. If you have a physical or sensory disability, we will work with you to find the right adjustments so you can perform your job well.

This is how you build your own future and a sustainable future at the same time. Together with 4,000 colleagues, each with their own talents and ideas, you work on our shared mission: speeding up the energy transition. We help customers become more sustainable faster, create innovative solutions, and seize new opportunities. Will you join us?

The phases of our application procedure

Want to know more about this job function?

Contact our recruiter at: [email protected]

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Principal Full-Stack Data Engineer

Why choose Eneco?

What you’ll do

Is this about you?

Nice to have

You’ll be responsible for

Hands-On Engineering & System Design

Platform & Governance Alignment

Mentorship, Enablement & Cross-Team Collaboration

This is where you’ll work

What we have to offer

Gross annual salary between €93.000 and €150.000

FlexBudget

Personal and professional growth

Hybrid working: home, office or abroad

Want more information about our terms of employment?

Work Where Everyone Matters

The phases of our application procedure

Want to know more about this job function?

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