About the job

Join us in the exciting journey of migrating our entire legacy data platform (Redshift, stored procedures, manual pipelines) to a modern lakehouse architecture built on Databricks and dbt. You'll play a key role in re-engineering rigid pipelines into decentralized data products, using data contracts, dimensional modeling, and medallion-layer patterns.

Daarom kies je als Data Engineer BI Logistics & Fulfilment voor PostNL

• Visible work: You’ll work in a multi-disciplinary team where you will be involved from the start of a project until the delivery of the insight. Your work is crucial to the team as all the insights, visualizations, algorithms are depending on the modeled data.
• Challenge: As a Data Engineer you have a vision how to deliver quality products. You will focus on doing it right rather than as fast as possible.
• Good atmosphere: You work with colleagues who dare to seize opportunities and help each other move forward.
• Freedom: You'll work from home and at a flex spot in our bustling, state-of-the-art office in the historic Stations post building (next to Holland Spoor station).
• Development Opportunities: You will have plenty of opportunities to follow training programs and grow into other positions or departments.
• Transition: We are in the middle of a transition to move to DBT with Databricks. You help shape this new data foundation.
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Dit is jouw rol

As a Data Engineer BI Logistics&Fulfilment, you play a key role in building and improving the data foundation that supports data-driven decisions within Cross Border Solutions business unit. You design, build and maintain scalable data pipelines, data models and warehouses that serve domains such as Logistics and Fulfilment. Using technologies such as dbt, Redshift and Databricks, you transform complex data into reliable and accessible data products for reporting and analytics. Data quality, transparency and consistency are central to your work, helping business teams make decisions with confidence.

In your day-to-day work, you develop and optimize SQL-based pipelines, views and stored procedures, while supporting the migration from legacy Redshift solutions to our modern data platform. You investigate and resolve data quality issues from source system to dashboard and help standardize metrics, business definitions and reusable data products. You work closely with Data Analysts, Analytics Engineers, Data Scientists and business stakeholders to understand requirements, validate outputs and deliver valuable insights. In addition, you contribute to improving ways of working through Git-based development, CI/CD, testing and documentation, while sharing knowledge and supporting the development of your team members.

Dit bezorgen we jou

You and your fellow team members, shape the way you collaborate, continuously learn and grow with a shot of daily fun, challenging puzzles to solve while moving the needle. Obviously, that comes with the support of an experienced team coach. The benefits for this position are:

• Salary between €4.091 and €6.498 gross per month (scale 11) at 37 hours per week.
• Do you work two days or more per week from home? Then you will receive an allowance of € 45,- net per month.
• 8% vacation pay and 25 vacation days if you work full-time.
• Reimbursement of commuting expenses.
• A good pension plan through the PostNL pension fund.
• Training and development opportunities through the PostNL Academy.
• Discounts on vacations, events and products.
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Dit breng je mee

To be successful in this role you need to have an eye for detail and quality, but also to be proactive and have an innovative mindset. This is necessary because you will be working in a complex and data rich environment and you have an important role in handling the data. Lastly you work closely with numerous colleagues within an international environment, therefore it’s important to have excellent communication skills in English.

What else is important:

• Higher education or academic background (HBO/WO) relevant to this work field.
• 3+ years of relevant working experience, strong in modeling raw data into reusable data products following dimensional modeling principles (star/snowflake schema, treating data as a product)
• Experience building and maintaining ELT/ETL pipelines in a production environment
• Strong SQL experience, you’re able to write, optimize, and debug complex analytical queries on cloud warehouses
• Hands-on dbt experience: developing, testing, documenting, and deploying models, preferably on a Databricks environment.
• Experience with CI/CD
• Familiarity with cloud data platforms (AWS and/or Databricks)
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Nog wat laatste post ...

• We do a background check on all applicants. As part of the check, we ask that applicants submit a certificate of good conduct. We also check references and possibly conduct a special investigation.
• Because we believe in equal opportunities, candidates take an assessment designed to evaluate their competences and skills relevant to the position.
• We recruit our own co-workers as we try to build the organisation of the future. Post from recruitment agencies will be returned to sender
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