Data Engineer

You have 3 to 6 years of production experience as a data engineer. You have already seen the pitfalls and, without a platform team behind you, deliver a tested, monitored solution.

You are proactive and identify for yourself what needs improvement. You are in your element in a scale-up: you can handle some chaos and you bring structure. You explain trade-offs clearly to non-technical colleagues.

You make analytics engineers and analysts productive. If they cannot find, understand, or trust a table, or if they get stuck on tooling or access, then the work is not finished.

• Databricks in production (Delta Lake, Unity Catalog), preferably on Azure.

• In-depth experience with dbt (Cloud) in production: Jinja, automated testing, deployment pipelines, and environments.

• Experience setting up and structuring a Git workflow: branching strategy, pull requests, and code review.

• Terraform or other infrastructure-as-code.

• Snowflake or a similar warehouse.

• Python and ingestion via Fivetran or custom connectors.

• Data tests as standard, an eye for cloud costs.

• English at a professional level, both written and verbal.

• Willing to undergo a Dutch security screening (VGB).

Nice to have: a warehouse migration, Looker or data contracts, regulated or public environments, B2B SaaS. 

Snowflake (current warehouse), Databricks (Azure), Fivetran, dbt, GitHub, Metabase, Looker.

• Hybrid working: 3 days in the office in the Houthavens, 2 days at home.

• 25 vacation days plus a free day on your birthday.

• 3% pension via a.s.r., fully paid by Studytube.

• € 1,000 learning budget per year, half of which is for wellbeing or your home workspace.

• LevelUp Academy, Studygym, MacBook Air, and a € 10 phone allowance.

• Nice lunches for a small contribution, quarterly outings, and an annual company party.

Studytube makes professional development accessible. Behind the platform lies a growing stream of learning data. This must truly help customers, the business, and the AI features we build move forward. For this, we are looking for a Data Engineer to own the data layer.

• You are the owner of the Snowflake platform: roles and permissions, warehouse sizing and provisioning, tasks, and costs.

• You manage GitHub for the data platform: branches, environments, and automation with GitHub Actions.

• You will take over Databricks, set up for a high-security environment, from an external party and prepare the migration from Snowflake to Databricks, planned for next year.

• You build pipelines that are incremental, idempotent, tested, and documented, and unlock sources via Fivetran or custom connectors.

• You ensure dbt Cloud runs reliably: dependencies, scheduling, and failure handling.

• You monitor freshness, volume, and schema drift, and search for the root cause when something breaks.

• You clean up the architecture, make the platform scalable, and build GDPR-aware: access, retention, and deletion are built into the design.

• You lay the foundation for metrics that sales, marketing, and product steer by, instead of manual Excels.

• A competitive salary and the space to establish data engineering at Studytube.