Data Platform Engineer (m/f/n), Esch-sur-Alzette

Are you interested in pursuing a career in an exciting field and an innovative company? Enovos, a member of the Encevo group, is constantly on the look out for talented individuals that the group is committed to mentoring and developing in order to allow for professional and personal growth.

Working for Enovos means working for a committed and visionary employer that plays an active role in the energy transition, creating sustainable and innovative perspectives while looking after the interests of its employees and partners.

Tasks

You will:

• Build and maintain our golden paths: project templates, scaffolding, GitLab CI pipelines and Terraform modules that make the right way the easy way for new data pipelines and data products.
• Operate and evolve our core platform services: Airflow, dbt tooling, OpenMetadata and our self-service analytics layer, keeping them reliable, secure and up to date.
• Administer and tune Redshift: distribution and sort keys, workload management and access patterns, so that pipelines and dashboards stay fast as usage grows.
• Embed observability by default: work with our observability engineering team to bake OpenTelemetry instrumentation, alerting and runbook patterns into pipeline templates, so failures and SLA breaches are detected before consumers notice.
• Build data pipelines and data products hands-on with domain teams, then extract what you learn into reusable platform capabilities.
• Enable and support your internal customers: write documentation, contribute to our platform portal, onboard teams and gather their feedback to drive the platform roadmap.
• Champion a product mindset for the platform itself: measure adoption, reduce friction, and prioritise based on what internal teams actually need.
• Apply DevOps principles throughout: everything as code, reviewed, tested and deployed through CI/CD, with security and cost-efficiency in mind.

Profile

You have:

• A university degree in computer science, engineering or a related field, or equivalent professional experience.
• At least 5 years of experience in data engineering with strong hands-on exposure to data platforms in production.
• At least 3 years of experience in platform engineering, DevOps or cloud engineering,
• Strong Python and SQL skills, and solid understanding of data modelling and pipeline design.
• Notable experience with Infrastructure as Code and CI/CD, preferably Terraform and GitLab CI: you are comfortable building pipelines and modules that other engineers depend on.
• Practical experience with Airflow (deployment and operations, not only DAG authoring) and with dbt, or strong motivation to drive its adoption as a modelling standard.
• Experience with AWS data services, ideally Redshift, S3 and Glue Catalog.
• A platform mindset: you build for other engineers, you value paved roads over one-off heroics, and you measure success by what teams can do without you.
• A pragmatic, collaborative way of working: you prefer a reliable, well-understood solution over a clever one nobody can maintain.
• Fluent in English.