R
RevoData
Data Engineer

Principal Data Engineer Consultant

On-siteStaffData Engineerposted 1w ago
Role summaryAI-generated

RevoData is seeking a Principal Data Engineer Consultant to design and implement scalable Databricks‑based data platforms for European clients. The role involves leading complex data projects, establishing best practices, and translating ambiguous business requirements into robust, production‑grade pipelines.

Skills required

About this role

About RevoData

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.

We foster a no-ego, no-nonsense culture where collaboration, proactivity and knowledge sharing are part of everyday work.

Sound like your kind of environment? Then keep scrolling!

Requirements

About 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 calm. Not by overcomplicating things, but by making the right things simple.

At RevoData, you operate at the intersection of deep Databricks 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.

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.

You speak fluent English

Nice to have:

  • Databricks certifications (Data Engineer Professional, Machine Learning Engineer Professional etc.)
  • Databricks Champion status
  • Fluency in other EU languages
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