Data Platform Engineer — Remote, End-to-End Data Pipelines

Ebiquity plc

Utrecht

On-site

EUR 70,000 - 95,000

Full time

14 days+
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Benefits offered by this job

Hybrid work model
Office near Utrecht central station

Job summary

Ebiquity plc in the Netherlands is looking for a Data Platform Engineer to join the Production Data Engineering Team. You will build scalable data solutions, automate pipelines, and enhance our data platform to drive better decision-making across global brands.

You will work on ETL, warehousing, data modeling, and cloud-based data platforms, collaborating in a hybrid setup with a focus on quality, governance and continuous improvement.

Qualifications

  • Proficiency in Python and SQL for data processing and transformation.
  • Experience with ETL, data warehousing and data modeling.
  • Hands-on with cloud data platforms (Azure, AWS, GCP).
  • CI/CD knowledge for data engineering workflows.
  • Experience with Agile & DevOps in data projects.

Responsibilities

  • Develop & optimize ETL pipelines for large-scale data.
  • Implement CI/CD pipelines to automate deployments.
  • Work with data modeling, warehousing and integration.
  • Ensure data quality, governance, monitoring and alerts.
  • Mentor junior engineers and promote knowledge sharing.
  • Contribute to scalability and performance of data infra.
  • Participate in Agile development and sprint planning.
  • Engage in architectural discussions for long-term maintainability.
  • Identify automation opportunities and process improvements.

Skills

Python
SQL
ETL
Data warehousing
Data modeling
Azure
AWS
GCP
CI/CD
Agile
DevOps
Problem-solving
Communication
Collaboration

Tools

Databricks

Job description

Ebiquity plc in the Netherlands is looking for a Data Platform Engineer to join the Production Data Engineering Team. You will build scalable data solutions, automate pipelines, and enhance our data platform to drive better decision-making across global brands.

You will work on ETL, warehousing, data modeling, and cloud-based data platforms, collaborating in a hybrid setup with a focus on quality, governance and continuous improvement.

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