Principal Full-Stack Data Engineer

at Eneco
📍 Rotterdam, Netherlands
EUR 93,000-150,000 per year
SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

DevOps @ 4 dbt @ 4 Airflow @ 4 CI/CD @ 4 MLOps @ 4 Hiring @ 4 Leadership @ 4 Azure @ 4 Communication @ 7 Data Engineering @ 4 Performance Monitoring @ 4 API @ 4 Technical Leadership @ 4 Experimentation @ 4 Databricks @ 4 Reporting @ 4 Snowflake @ 4

Details

Eneco is accelerating the energy transition and needs resilient, high-quality data systems to support long-term forecasting, asset planning, and near‑real‑time trading. As a Principal Full-Stack Data Engineer you will modernize and stabilize mission-critical data and ML platforms used across the energy balancing chain, improving data quality and lineage, and setting technical standards across teams. This is a hands-on technical leadership role: you will design, build, review, decide and guide, working closely with Engineering Managers, Staff Engineers and Product Managers.

Responsibilities

  • Lead and shape mission-critical data and ML platforms that power Eneco’s energy balancing chain (long-term forecasting to real-time trading).
  • Drive large-scale system and architecture initiatives across long-term energy planning and trading domains, including data flows and integrations with neighboring systems (provisioning, asset management, reporting).
  • Step in to unblock or lead complex engineering efforts (e.g., redesigning lineage, fixing systemic data quality issues, improving cross-team integrations).
  • Design, build and modernize data and ML platforms and pipelines using Databricks, Delta/Unity Catalog, Airflow, dbt, Snowflake, Azure and related services.
  • Modernize and refactor legacy data and ML workflows to enhance reliability, lineage, maintainability, metadata and master data management.
  • Ensure engineering best practices in DevOps, CI/CD, infrastructure as code, observability, containerization and incident management are applied.
  • Promote common platform patterns for ingestion, modeling, streaming/batch processing, feature engineering, ML development, experimentation, testing and serving.
  • Shape and review technical designs to ensure robustness, scalability and alignment with enterprise architecture.
  • Mentor and enable engineering teams: run design reviews, coach engineers, advise Engineering Managers on technical decisions, and assist with planning and hiring needs.

Requirements

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.
  • Demonstrable experience designing, operating and stabilizing mission-critical, distributed data systems (end-to-end pipelines, event-driven architectures, platform integrations) where reliability, correctness and continuity are essential.
  • Strong understanding of data architecture, data modeling, streaming, data lineage, data quality frameworks and metadata management.
  • Good knowledge across ML engineering: feature engineering, model lifecycle management, experimentation, performance monitoring and MLOps.
  • Solid knowledge of software engineering and DevOps fundamentals: CI/CD, infrastructure as code, observability, containerization and API design.
  • Experience with timeseries analytics environments (databases, analytics, processing and modelling).
  • Ability to drive alignment across engineering and product teams and strong written and verbal communication skills.

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.

Benefits / What we offer

  • Gross annual salary between €93,000 and €150,000 (including FlexBudget, 8% holiday allowance; depending on role a bonus or collective profit sharing).
  • FlexBudget (can be paid out, used to buy extra holiday days or saved).
  • Personal and professional growth support.
  • Hybrid working: 40% at the office, 40% from home, 20% flexibly; with manager approval you may work abroad within approved countries up to 3 weeks/year (max 2 consecutively).
  • Opportunity to have direct impact on Eneco’s mission to become climate neutral by 2035.

Application process and contacts

  • For more information contact the recruiter (contact details provided in the original posting).