Data Engineer

Budget Thuis; Amsterdam; Hybrid; EUR 56,000 - 87,000; Full time

Benefits offered by this job

13th month

Budget Summer Holiday

Volunteer day

Pension plan

ClassPass

Remote month

Mental health access

Job summary

Budget Thuis is building a data platform from scratch and seeks a Data Engineer to lay the foundation for how we collect, store, and orchestrate data for a Dutch energy supplier.

You'll join a brand‑new data team, evaluate tools (data warehouse, ELT, orchestration), and craft scalable pipelines with quality checks. You will ship in small increments, review PRs, and collaborate closely with the Data Platform and BI teams to ensure the right data flows to customers and internal teams.

Qualifications

• Hands-on experience building and maintaining production data pipelines in a modern cloud data stack (data warehouse, dbt, orchestration).
• Ability to write tests and embed data quality checks as part of normal work flow.
• Track record of shipping incremental, simple, working solutions.
• Strong collaboration skills and proactive blockers communication.
• Curiosity about how pipelines drive outcomes for customers in the energy sector.
• Growth mindset with desire for technical independence.

Responsibilities

• Build and maintain data pipelines of low to medium complexity on an evolving stack.
• Help evaluate tools for data warehouse, ELT, and orchestration.
• Add data quality checks like null checks, row counts, schema validation, and dbt tests.
• Break work into small increments and keep PRs focused.
• Monitor pipeline outputs after deployments and keep codebase maintainable.
• Respond quickly to failures, investigate root causes, and escalate when needed.
• Review PRs, pair with teammates, and support colleagues as needed.
• Communicate upstream when changes affect downstream BI/ML/customers and prioritize by impact.
• Develop a concrete growth plan with your manager and learn from mistakes.

Skills

Production data pipelines

Cloud data stack

Testing

Collaboration

Incremental delivery

Growth mindset

Tools

dbt

Airflow

Dagster

Azure

Databricks

Data Lake

Job description

How do you build a reliable pipeline when the tools haven't even been chosen yet? As Data Engineer at Budget Thuis, you'll help lay the technical foundation for how a Dutch energy supplier uses its data, from warehouse to orchestration. Curious what that looks like in practice? Read on.

What You'll Do

As Data Engineer, you'll be one of the first members of our new data team and help build our data platform from scratch.

• Help evaluate and choose the tools for our data stack: data warehouse, ELT, and orchestration.
• Build and maintain data pipelines of low to medium complexity once the foundation is in place.
• Add data quality checks to every pipeline change: null checks, row counts, schema validation, and dbt tests (or equivalent) as standard practice, not an extra step.
• Break your work into small, deployable increments and keep pull requests focused.
• Monitor pipeline outputs after every deployment and keep the codebase easy to work with.
• Respond quickly to pipeline failures, investigate the root cause, and **escalate** when an issue is bigger than you.
• Review pull requests with constructive feedback, pair with teammates on complex work, and support colleagues where needed.
• Communicate early when changes affect downstream consumers such as BI, ML, or customers, and prioritize based on customer impact.
• Build a concrete growth plan with your manager and share what you learn from mistakes.

About the Team

You'll work closely with our Senior Engineering Manager, Data Platform, and the BI team, who rely on your pipelines every day. The data platform team is brand new, so you'll help set up not just the pipelines, but also the tools and ways of working around them. We haven't locked in our stack yet, which means your input on choices like the data warehouse or orchestration tool actually counts. It's a small team, so you'll see the direct result of your work and have room to shape how things get done.

What You Bring

You recognize yourself in most of the points below, whether your job title was Data Engineer, Analytics Engineer, or ETL Engineer.

Must-haves

• Hands-on experience building and maintaining production data pipelines in a modern cloud data stack: a cloud data warehouse, dbt (or equivalent), and an orchestration tool such as Airflow or Dagster;
• Comfortable writing tests and embedding data quality checks as a natural part of your work, not an afterthought;
• A track record of shipping incrementally: you prefer simple, working solutions over over-engineered ones;
• Solid collaboration skills: you raise blockers early, give and take feedback well, and know when to ask for help;
• Curiosity about the business behind the data: you want to understand how your pipelines connect to real outcomes for customers and colleagues in the energy sector;
• A mindset geared toward growth: you're looking for a role where you can grow toward more technical independence.

Nice to have

• Experience with Azure cloud services (Data Lake, Databricks, Event Hubs);
• Exposure to data governance tools such as lineage, cataloging, or quality monitoring;
• Domain knowledge in utilities, energy, or telco;
• Experience working alongside a BI team.

At Budget Thuis, it's important that you can be 100% yourself. We welcome different perspectives and personalities. For this role, we're especially keen to hear from people whose background adds something valuable to our team.

Why the grass is greener here

• A gross monthly salary of €5.000,- to €7.800,- based on a 40-hour workweek;
• 13th month salary;
• Budget Summer Holiday: every Friday off in July and August (9 extra days);
• 1 paid volunteering day per year;
• 25 holiday days, with the option to buy 1.5 extra weeks;
• Pension: 16% of gross salary incl. holiday allowance (11% Budget Thuis, 5% own contribution);
• Monthly ClassPass credits;
• Travel: Swapfiets or NS Business Card, your choice;
• Free mobile and internet subscription from Budget Thuis;
• Hybrid working (50/50);
• 1 month per year fully remote;
• Free access to OpenUp for mental health and courses.

Relocation is not possible.

Relocation is not possible.