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# Senior Data Engineer

- **Company:** Devleaps
- **Location:** Hoofddorp, Netherlands
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Cloud Computing, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Python (Programming Language), Software Engineering, SQL Databases, Apache Spark, Pyspark, Data Management, Data Lakehouse, Terraform, Data Pipelines
- **Published:** September 7, 2026
- **Apply:** https://www.adzuna.nl/details/5871534243

## About the Role

* Proven experience in Data Engineering, Data Modeling or Data Platform Engineering (typically 4 6 years).

 * Good understanding of Data Lakehouse architecture.

 * Hands-on experience with dbt, SQL, and Python.

 * Experience working with cloud platforms such as GCP, Azure, or AWS.

 * Comfortable working in a client-facing or consulting environment, building trust and communicating clearly with non-technical stakeholders.

 * Strong problem-solving skills and an engineering mindset.

Nice to Have:

 * Experience with Spark / PySpark.

 * Understanding of Infrastructure as Code (Terraform, CDK).

 * Familiarity with the full software development lifecycle.

Soft Skills

 * Strong communication skills; you can hold your own in a room with both engineers and business stakeholders.

 * Proactive ownership mindset: you spot problems early and drive them to resolution.

 * Comfortable in the messy middle: consulting means requirements evolve, and you adapt without losing momentum.

 * Willingness to lead discussions, not just contribute to them. We want to know your opinion.

 * Human: you have opinions, questions, hobbies, and maybe a questionable taste in snacks. That s fine - we re a little bit geeky and proud of it.

## Description

As a Senior Data Engineer, you will play a key role in designing and building modern data platforms and analytics foundations for our clients. You will work alongside data platform engineers, analytics engineers, and infrastructure specialists to create scalable data pipelines, reliable data models, and high-quality data products.

You won't be handed in a ticket queue. You'll help shape architecture, advise clients on platform strategy, and translate ambiguous business needs into clear technical solutions.

Key Responsibilities

 * Design, build, and maintain scalable data pipelines and data platform components.

 * Develop robust data models and abstractions that enable analytics and reporting.

 * Advise clients on data platform strategy and help translate business requirements into sound technical architectures.

 * Implement ELT/ETL pipelines and ensure data quality across systems.

 * Collaborate with analytics engineers, platform engineers, and infrastructure teams to deliver reliable, end-to-end data solutions.

 * Contribute to the design and evolution of modern cloud data platforms.

 * Champion engineering quality - testing, documentation, and performance are not afterthoughts here.


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