Principal data engineer

• Tech Playground: Love experimenting? So do we. Play around with Databricks AI/BI, Genie, Agent Bricks, Vector Search, Terraform, Terragrunt, Asset Bundles, CI/CD, monitoring & alerting tools, Cursor, and more.
• Unlimited Learning: Take advantage of our partner academies, weekly workshops, and lunch & learns.
• Fun Clubs & Activities: Join our climbing club, padel club, kickboxing sessions, Dutch club, or start your own!
• Work-Life Balance & Prime Location: We trust you to get the job done - whether you’re an early bird or a night owl. We work in a flexible hybrid setup with Wednesdays together at our Amsterdam office, while the rest of the week is a blend of working from home and client office visits (typically 0-2 days), depending on client preferences.
• Wellbeing & Mobility: €75 net monthly wellbeing budget to spend however you like (gym memberships, bouldering gear, Calm app subscriptions, etc.), plus gym access and e-bike access.
• Allowances: Monthly work-from-home, travel, and internet/phone allowances.
• Additional Perks: Pension plan, regular community events, quarterly team outings, and workation options!, * We are open to hiring at Principal level for this role. Our Principal salary range is €90,000-€110,000 per year. As part of the hiring process, candidates are benchmarked during the technical assessment. If your skills and experience align more closely with a different level, we will discuss the corresponding salary band with you.

You’ve reached the point where you don’t just build data platforms - you shape how they should exist.

You walk into environments where things are unclear, sometimes messy, sometimes politically complex - and you bring structure, direction, and calmness. Not by overcomplicating things, but by making the right things simple., You’re comfortable with Python & SQL: You write clean, maintainable code and know your way around data modelling and building data pipelines.

You know your way around the cloud: You’ve worked with Azure, AWS or GCP and have experience building ETL/ELT pipelines and cloud-based data solutions.

You bring structure where there isn’t any: You can take a vague ambition (“we need a data platform”) and turn it into something concrete - defining approach, architecture, and first steps without needing everything handed to you.

You balance pragmatism with quality: You know when to push for a better design, and when to move forward with something “good enough for now.” You don’t get stuck in theory, but you also don’t create future problems.

You raise the level of the people around you: Through reviews, discussions, and the way you work, you make others better - without it feeling forced or hierarchical.

You influence decisions in the grey area between tech and business: You can challenge assumptions, explain trade-offs, and guide decisions - whether you’re speaking to an engineer, a product owner, or a CTO.

Nice to have:

• Databricks certifications (Data Engineer Professional, Machine Learning Engineer Professional etc.)

• Databricks Champion status

• Fluency in Dutch

RevoData is a boutique Data & AI consultancy and proud Databricks Gold partner. We focus exclusively on Databricks, allowing us to go deep and do things properly. We help companies across Europe unlock the value in their data, helping them design and build scalable platforms that support real business use cases., At RevoData, you operate at the intersection of deep data engineering expertise, technical leadership, and client trust.

We’d love to talk if:

You’ve led data platforms from idea to reality - more than once: Not just contributing, but owning the outcome. You’ve made architectural decisions, dealt with the consequences, and improved things along the way.

Databricks is a tool you truly understand, not just use: You don’t just implement pipelines - you shape how platforms are structured. From Delta Lake design decisions to Unity Catalog setup and governance, you define foundations that scale. You’re comfortable working across the platform: orchestrating with Workflows, structuring code and deployments properly, and thinking through how data flows from ingestion to consumption. New to Databricks but wan’t to specialise quickly? Still apply - we have a track for you!, We focus exclusively on Databricks, so you’ll be working with your hands deep in the Databricks Data Intelligence Platform: PySpark, SQL, Delta Lake, Unity Catalog, MLflow, and the latest Mosaic AI features. But we don’t expect you to walk in as a power user. If you’ve built strong data platforms on other stacks and want to specialise in Databricks quickly - that’s enough to get started.

For candidates without Databricks experience who want to ramp up quickly, we’re willing to invest. We offer a 7 month crash course covering certifications, hands-on client project work, and an internal knowledge-sharing session to cement what you’ve learned. This track transitions to a permanent contract upon reaching the agreed milestones. It’s designed to get you up to speed fast, with full support from the team along the way!, * RevoData has been growing quickly, and we’re ready for the next chapter - with multiple start dates available in 2026. Apply now and be part of our next chapter of growth.