Engineering Manager - Trading Data

at Eneco
📍 Rotterdam, Netherlands
EUR 95,000-145,000 per year
MIDDLE
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Security @ 6 Software Development @ 3 Kubernetes @ 3 DevOps @ 3 dbt @ 3 ETL @ 6 CI/CD @ 3 Machine Learning @ 3 MLOps @ 3 Data Science @ 3 Azure @ 3 Data Engineering @ 3 Mentoring @ 3 SRE @ 3 Databricks @ 3 Snowflake @ 3 Compliance @ 6

Details

Drive the technical vision and delivery of data and AI-powered applications for energy trading. Lead a cross-functional team of data engineers, machine learning engineers, software developers, and analysts to build reliable, scalable, and secure systems that turn complex trading data into actionable insight. Collaborate with product managers and trading stakeholders to align engineering efforts with business needs and ensure high-quality production solutions.

Responsibilities

  • Lead and mentor a team of data and machine learning engineers and developers, fostering technical excellence, continuous improvement, and team well-being.
  • Partner with product managers and stakeholders (traders, quants, analysts, business owners) to translate business needs into a clear technical strategy and drive its implementation.
  • Ensure technical solutions meet high standards for quality, reliability, security, maintainability, and efficiency through strong engineering practices (code quality, observability, architectural decision-making).
  • Oversee infrastructure scopes and take data, ML, and data science processes from concept to production with a focus on reliability, cost optimization, and performance.
  • Contribute to the review and improvement of business processes and systems to enhance effective use of technology.

Requirements

  • Proven experience managing engineering teams, mentoring developers, and fostering a collaborative, high-performing environment.
  • Experience in software development, SRE and DevOps best practices, including CI/CD, testing, version control, incident management, technical debt management, refactoring, and migrations.
  • Strong awareness of security and compliance standards for domains with sensitive data.
  • Demonstrated experience overseeing infrastructure and productionizing data, machine learning, and data science pipelines with emphasis on reliability and cost optimization.
  • Strong understanding of data engineering principles, including ETL, data and information modeling, and pipeline orchestration.
  • Experience with cloud infrastructure (Azure preferred), Databricks, Snowflake, dbt, and Kubernetes.
  • Ability to collaborate with stakeholders in energy trading (traders, quants, analysts, business owners).

Nice to have

  • Experience designing, building, or managing technical infrastructure and platforms for trading systems, ideally within commodities markets.
  • Knowledge of MLOps practices and model deployment pipelines.
  • Familiarity with techniques in machine learning, data science, analytics, and algorithmic trading.

Benefits

  • Gross annual salary between €95,000 and €145,000 (including FlexBudget, 8% holiday allowance, and depending on role a bonus or collective profit sharing).
  • FlexBudget options (payout, extra holiday days, or saving).
  • Personal and professional development 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).
  • Work-life balance and mission-driven company focused on sustainability (One Planet Plan).