Remote PySpark/Databricks Developer: Data Pipelines

APG Asset Management

Amsterdam

Hybrid

EUR 60,000 - 85,000

Full time

14 days+

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Benefits offered by this job

End of year bonus 8.33%
Work from home 2-3 days per week
Pension

Job summary

APG Asset Management in Amsterdam is seeking a PySpark/Databricks Developer to build and optimize data pipelines for investment and research platforms. You will contribute to data flows, data models, and collaboration with investment desks and analytics teams.

The role emphasizes delivering scalable data solutions, leveraging PySpark, Databricks, and the Azure Data Platform within an agile environment. English communication and problem-solving are essential.

Qualifications

  • As a PySpark/Databricks developer, you translate business needs into scalable data solutions.
  • You will develop PySpark-based data pipelines and manage Databricks workspaces.
  • You collaborate with analytics teams and maintain CI/CD in Azure DevOps.
  • Strong data modelling and querying skills are required.
  • Clear communication in English and a collaborative mindset are essential.

Responsibilities

  • Develop and maintain PySpark-based data pipelines in Databricks.
  • Manage Databricks workspaces, dependencies, and integrations.
  • Translate business requirements into scalable data solutions.
  • Collaborate with analytics teams to enhance data models for BI tools.
  • Maintain Azure DevOps repositories for version control and CI/CD.
  • Document solutions and share knowledge within the team.
  • Engage with stakeholders including front office, IT, and architecture teams.

Skills

PySpark
Databricks
Python
BI data models
English comms

Education

Computer Science / Engineering degree

Tools

Azure Data Platform
DevOps
SQL querying
Data modelling

Job description

APG Asset Management in Amsterdam is seeking a PySpark/Databricks Developer to build and optimize data pipelines for investment and research platforms. You will contribute to data flows, data models, and collaboration with investment desks and analytics teams.

The role emphasizes delivering scalable data solutions, leveraging PySpark, Databricks, and the Azure Data Platform within an agile environment. English communication and problem-solving are essential.

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