Data Engineer – Finance & UX (Remote, Databricks/dbt)

PostNL; Den Haag; Hybrid; EUR 46,000 - 73,000; Full time

Benefits offered by this job

Salary range

Remote/hybrid allowance

Vacation pay

Commuting reimbursement

Pension plan

Education/training

Employee discounts

Job summary

PostNL is seeking a Data Engineer Finance & UX to help build the data foundation enabling data-driven decisions across Finance, Customs and Customer Experience. You will design, build and maintain scalable data pipelines and warehouses using dbt, Redshift and Databricks.

You will migrate from legacy Redshift to Databricks, focusing on data products, quality and governance, while collaborating with analysts, data scientists and business stakeholders to deliver reliable insights.

Qualifications

• 3+ years of experience in data modeling and building reusable data products.
• Experience in ELT/ETL pipelines in production environments.
• Strong SQL, able to write, optimize and debug complex queries.
• Hands-on dbt in a Databricks environment, developing and documenting models.
• Proficient in English communication and collaboration with stakeholders.

Responsibilities

• Design, build and maintain scalable data pipelines and warehouses.
• Migrate from legacy Redshift to modern Databricks platform.
• Collaborate with analysts, data scientists and stakeholders to deliver insights.
• Contribute to Git-based development, CI/CD, testing and documentation.

Skills

SQL

dbt

CI/CD

Cloud platforms

Data modeling

ELT/ETL pipelines

English communication

Team collaboration

Education

Higher education (HBO/WO)

Tools

dbt

Databricks

AWS

Redshift

Job description

PostNL is seeking a Data Engineer Finance & UX to help build the data foundation enabling data-driven decisions across Finance, Customs and Customer Experience. You will design, build and maintain scalable data pipelines and warehouses using dbt, Redshift and Databricks.

You will migrate from legacy Redshift to Databricks, focusing on data products, quality and governance, while collaborating with analysts, data scientists and business stakeholders to deliver reliable insights.