Data Platform Engineer - Hybrid, Kubernetes & ETL

Intus Workforce Solutions; Zeist; Hybrid; EUR 70,000 - 90,000; Full time

Benefits offered by this job

Hybrid work model

Competitive salary

Pension scheme

Lunch & fruit in office

Annual team outing

Work-from-home budget

Job summary

Intus is expanding its Data Platform team and seeking a Data Engineer to help build and optimize data pipelines across Dutch and international markets. You will contribute to a modern cloud-based data platform, collaborating with a cross-functional team of data specialists and a Product Owner.

You will work with Clickhouse, SQLMesh, Postgres and Superset, and apply data modeling, ETL/ELT, SQL optimization, and Python scripting to deliver robust data solutions.

Qualifications

• Data modeling concepts (star/snowflake) and medallion architecture.
• ETL/ELT pipeline development, orchestration, and data quality testing.
• Advanced SQL and performance tuning.
• Data processing and scripting with Python.
• Infrastructure as Code for cloud resources (Terraform).

Responsibilities

• Build, maintain and optimize data pipelines tailored to customers' data requirements.
• Maintain and improve data infrastructure running in containers on Kubernetes.
• Help other data specialists develop data models and visualizations.

Skills

Data modeling

ETL/ELT

Advanced SQL

Python scripting

Terraform IaC

Tools

Clickhouse

SQLMesh

Postgres

Superset

Docker

Job description

Intus is expanding its Data Platform team and seeking a Data Engineer to help build and optimize data pipelines across Dutch and international markets. You will contribute to a modern cloud-based data platform, collaborating with a cross-functional team of data specialists and a Product Owner.

You will work with Clickhouse, SQLMesh, Postgres and Superset, and apply data modeling, ETL/ELT, SQL optimization, and Python scripting to deliver robust data solutions.