All Your BI

Data Engineer

Remote Data Engineer role with clear candidate location fit.

PostedJul 2, 2026

Eligible countries42 accepted countries

Seniority signalSenior

Work settingRemote

Accepted candidate locations

AlbaniaAustraliaAustriaBelarusBelgiumBulgaria+36 more

Role overview

Readable role content extracted into sections for faster review.

A salary between €4,900–€6,200 per month + profit sharing + pension (NL only) + €5,000 annual development budget + 8% holiday allowance (NL only) + €500 home-office budget + a laptop + team outings + informal drinks + the occasional well-earned "Hey, well done Buddy!".

Real work/life balance: 25 vacation days + public holidays + special leave + the option to buy up to 10 extra days + a sabbatical of up to 4 months.

Work remotely: as long as it’s within a similar time zone, and you attend every quarterly company meeting in the Netherlands or abroad.

Two company trips abroad each year, where we connect, have serious fun, and keep making All Your BI better together.

An entrepreneurial culture where you own your success, shape your own roles, work on your own ideas, and have real influence on our growth.

Real autonomy: under Holacracy, authority sits with the people doing the work, you make the calls in your domain, no hovering, no permission-seeking.

Build and maintain end-to-end pipelines in the Azure stack, ingesting source data into the Data Lake and Azure SQL, orchestrated with Azure Data Factory.
Develop the data warehouse layers from raw staging through the Data Vault and Business Vault into the dimensional Data Mart, primarily in T-SQL.
Write and optimise stored procedures for transformation and loading (full, incremental and delete loads), including watermark-driven incremental processing.
Model data correctly, designing hubs, links and satellites in the vault, and conformed facts and dimensions in the mart.
Investigate and understand source systems (e.g. terminal operating and maintenance systems) so the model reflects what the data really means, not just its shape.
Deliver in Power BI, building datasets/semantic models and reports yourself, not just opening someone else’s dashboard.
Own data quality, building validation and monitoring into the platform, and debugging broken pipelines, stored procedures or database projects without flinching.
Wear the analyst hat, profiling new datasets, answering data questions directly, and validating that numbers reconcile before they reach the business.

~5+ years hands-on, across data engineering and database development. We weight depth and range over the exact number, but this isn't a junior seat; you've owned real warehouse work, not just touched it.
Core stack you'll work in: T-SQL · Azure (Data Factory, Data Lake Storage Gen2, Azure SQL) · Power BI · Git — plus Data Vault and dimensional modelling.
Real relational-database depth: you model in 3NF, read an execution plan, tune a slow query, and work confidently in the Data Vault layer beneath the mart, not just the semantic layer on top.
Excellent T-SQL: especially stored procedures for transformation and loading.
Hands-on Azure data engineering: you've built end-to-end pipelines with ADF, Data Lake Gen2 and Azure SQL.
You build in Power BI, not just consume it: datasets/semantic models, relationships, DAX, reports.
A reliability habit: data quality validated and monitored as part of the work, Git as a default, and the confidence to trace a broken pipeline/proc/DB project to root cause and fix it calmly.
Communication: fully comfortable in English to collaborate with clients and a remote team.
Nice to have: experience with Data Vault 2.0 specifically (hubs, links, satellites, hash keys); exposure to a semantic-layer tool such as Dremio; background in operational / logistics / industrial domains (e.g. ports, terminals, maintenance/CMMS, IoT-style event data).

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