Data engineer in edtech

Studytube makes professional development accessible. Behind the platform is a growing stream of learning data. It needs to genuinely help customers, the business and the AI features we’re building. We’re looking for a Data Engineer to own the data layer.

• You own 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 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 connect 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 find the root cause when something breaks.
• You clean up the architecture, make the platform extensible and build with GDPR in mind: access, retention and deletion are part of the design.
• You lay the foundations for metrics that sales, marketing and product use to make decisions, instead of manual spreadsheets.

• You have 3 to 6 years of production experience as a data engineer. You’ve already encountered the pitfalls and can deliver a tested, monitored solution without a platform team behind you.
• You’re proactive and identify what could be improved yourself. You’re comfortable in a scale-up: you can handle some chaos and bring structure to it. You explain trade-offs clearly to non-technical colleagues.
• You make analytics engineers and analysts productive. If they can’t find, understand or trust a table, or get stuck on tooling or access, the work isn’t finished.
• Production experience with Databricks (Delta Lake, Unity Catalog), preferably on Azure.
• In-depth production experience with dbt (Cloud): 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 comparable warehouse.
• Python and ingestion via Fivetran or custom connectors.
• Data tests as standard, with an eye for cloud costs.
• Professional level of English, written and spoken.
• Willingness to undergo a Dutch security screening (VGB).
• Будет плюсом: A warehouse migration, Looker or data contracts, regulated or public-sector environments, B2B SaaS

• A competitive salary and the opportunity to establish data engineering at Studytube.
• Hybrid working: 3 days at the office in the Houthavens, 2 days from home.
• 25 vacation days plus a day off on your birthday.
• 3% pension through a.s.r., fully paid by Studytube.
• €1,000 annual learning budget, half of which can be used for wellbeing or your home office.
• LevelUp Academy, Studygym, MacBook Air and a €10 phone allowance.
• Catered lunches for a small contribution, quarterly outings and an annual company party.