Data Engineer

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

Benefits offered by this job

Gross monthly salary €5,000–€7,800

13th month salary

Hybrid working 50/50

Remote work 1 month per year

Pension: 16% of gross salary

ClassPass credits

Travel: NS/Swapfiets

Mobile and internet subscription

OpenUp access

Job summary

Budget Thuis is seeking a Data Engineer to help build our data platform from scratch. As one of the first data team members, you’ll evaluate tools for the data stack, create production pipelines, and implement data quality checks.

You’ll work with the Data Platform and BI teams in a small group, influence tool choices, and contribute to delivering reliable data for analytics and customers in the energy sector.

Qualifications

• Hands-on experience building and maintaining production data pipelines in a modern cloud data stack: cloud data warehouse, dbt, and an orchestration tool.
• Comfortable writing tests and embedding data quality checks as a natural part of your work.
• A track record of shipping incrementally with simple, working solutions.

Responsibilities

• Evaluate and choose tools for the data stack (data warehouse, ELT, orchestration).
• Build and maintain data pipelines of low to medium complexity.
• Add data quality checks (null checks, row counts, schema validation, dbt tests).
• Break work into small, deployable increments with focused PRs.
• Monitor pipeline outputs after deployments and keep codebase maintainable.
• Respond quickly to pipeline failures and investigate root causes.

Skills

Data warehouse

dbt

Orchestration

Testing

Incremental delivery

Collaboration

Growth mindset

Tools

Azure

Databricks

Event Hubs

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 elevate 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.