Senior Data Engineer - Data Pipelines & AI

TESTQ Technologies LTD.; Amsterdam; On-site; EUR 90,000 - 140,000; Full time

Job summary

TESTQ Technologies LTD. in Amsterdam seeks a Senior Data Engineer to design, build and govern scalable data pipelines, data models and BI solutions across regulatory insights and client analytics.

You will own end-to-end delivery from design through production support, mentoring peers and driving engineering standards. Based in Amsterdam, you will collaborate with cross-functional teams, apply Python/SQL and Spark, and contribute to AI initiatives while ensuring data quality, security and

Qualifications

• 8+ years of relevant experience in data engineering, cloud engineering, data analytics or a closely related technical field.
• Proven hands-on experience building production-grade data pipelines using ETL/ELT patterns.
• Strong programming skills in Python and SQL, with PySpark experience.

Responsibilities

• Own end-to-end design, development and maintenance of scalable data pipelines and data products.
• Translate business and regulatory requirements into robust data designs and governance.
• Design and implement reliable ETL/ELT processes for batch and streaming workloads with data quality controls.
• Lead technical solution design and provide reusable blueprints for scalability and compliance.
• Promote engineering quality through tests, code reviews, CI/CD, monitoring and ownership.

Skills

Python

SQL

PySpark

Apache Spark

Airflow

Cloud platforms

Data modeling

ETL/ELT

CI/CD

Docker/Kubernetes

BigQuery

Data lakes/warehouses

Tools

dbt

Hive

MS SQL

S3

Docker

Kubernetes

Job description

TESTQ Technologies LTD. in Amsterdam seeks a Senior Data Engineer to design, build and govern scalable data pipelines, data models and BI solutions across regulatory insights and client analytics.

You will own end-to-end delivery from design through production support, mentoring peers and driving engineering standards. Based in Amsterdam, you will collaborate with cross-functional teams, apply Python/SQL and Spark, and contribute to AI initiatives while ensuring data quality, security and