Staff Full-Stack Data Engineer

Details

Lead complex, cross-domain data engineering initiatives across energy trading, forecasting, and long-term energy planning. Design, build, and modernize mission-critical data and machine learning platforms while providing hands-on technical leadership across engineering teams.

Responsibilities

Technical Leadership Across Domains

• Drive large-scale system and architecture initiatives across long-term energy planning and long- and short-term trading.
• Lead data flows and integrations with neighboring systems, including provisioning, asset management, and reporting.
• Unblock complex engineering efforts, including dataset lineage redesign, systemic data quality improvements, and cross-team integrations.
• Shape and review technical designs for robustness, scalability, and alignment with enterprise architecture.
• Advise Engineering Managers and Senior Engineering Managers on framework selection, architectural direction, and build-versus-buy decisions.
• Support team sizing, hiring needs, and technical roadmap sequencing.
• Share best practices, run design reviews, and coach engineers.

Hands-On Engineering and System Design

• Design and implement data and ML platforms and pipelines using Databricks, Delta Lake, Unity Catalog, Airflow, dbt, Snowflake, Azure, and related services.
• Apply best practices in data modeling, orchestration, storage, streaming, feature engineering, ML model development, experimentation, testing, and serving.
• Modernize and refactor legacy data and ML workflows to improve reliability, data lineage, maintainability, metadata management, content management, and master data management.
• Build systems integrating data and ML pipelines with other platforms and user-facing products.
• Apply DevOps practices including CI/CD, infrastructure as code, observability, containerization, API design, and incident management.
• Build, deploy, and operate AI agents in engineering workflows using reusable agent workflows, AI-ready data models, and integration patterns.

Platform and Governance Alignment

• Promote standardized patterns for ingestion, modeling, streaming and batch processing, feature engineering, ML development, experimentation, testing, and serving.
• Ensure solutions meet standards for security, compliance, and operational resilience.

Requirements

• 8+ years of experience in data engineering or software engineering, including at least 3 years in a senior or staff role driving multi-team technical decisions.
• Deep hands-on expertise with Databricks, Delta Lake or Unity Catalog, Airflow, Snowflake, dbt, and Azure cloud services.
• Experience designing, operating, and stabilizing mission-critical distributed data systems, 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.
• Knowledge of ML engineering, including feature engineering, model lifecycle management, experimentation, performance monitoring, and MLOps.
• Knowledge of software engineering and DevOps fundamentals, including CI/CD, infrastructure as code, observability, containerization, API design, and operational excellence.
• Hands-on experience building, deploying, and running AI agents to accelerate engineering work.
• Experience with time-series analytics environments, including databases, analytics, processing, and modeling.
• Ability to align engineering and product teams in ambiguous or high-impact problem spaces.
• Excellent written and verbal communication skills, including the ability to explain technical topics to engineering and business stakeholders.
• Nice to have: experience in energy markets, commodity trading, near-real-time operational systems, forecasting platforms, ML lifecycle design, production data and ML integrations, or high-frequency and low-latency data processing.

Work Environment

• Join Eneco's Data & AI organisation and work across energy trading, forecasting, and long-term energy planning domains.
• Hybrid working model: 40% in the office, 40% from home, and 20% flexibly.
• With manager approval, work abroad within approved countries for up to 3 weeks per year, with a maximum of 2 consecutive weeks.

Benefits

• Gross annual salary between €95,000 and €153,000, including FlexBudget and 8% holiday allowance.
• Depending on the role, a bonus or collective profit sharing.
• FlexBudget can be paid out, used to purchase additional holiday days, or saved.
• Personal and professional development opportunities.
• Flexible working hours, work-from-home options, and an inclusive work environment.