Senior Data Engineer
Summary
Senior Data Engineer for a finance-sector client just outside Amsterdam, building and scaling a new data platform on the Azure stack. Day to day: developing pipelines in Azure Synapse with PySpark/Pandas, Git version control, testing, deployment pipelines, and monitoring — hybrid with 1 office day per week.
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My client within the finance space just outside of Amsterdam is looking for a Senior Data Engineer who can help them scale a brand new data platform using the latest Azure stack. You will join an existing team of 3 people and focus on helping the data platform as the business portfolio expands!
Responsibilities:
- Collaborate with the Lead Data Engineer and Team Lead in Azure DevOps to plan and prioritize tasks.
- Develop data pipelines in Azure Synapse Analytics, along with data ingestion and process scripts using PySpark and Pandas, while managing version control through Git.
- Create unit tests, test your own work and review work of colleagues to ensure quality control.
- Enhance and maintain deployment pipelines to facilitate smooth releases to end users.
- Monitor the data platform (including data pipelines, ingestion/processing jobs, and alerts), while continuously improving logging and monitoring practices.
Requirements:
• 4+ years of experience within Data Engineering
• Strong Python and SQL skills
• Knowledge of Azure and related technologies is important for this role (Synapse, ADF, Databricks etc.)
• Knowledge of Pyspark would be a plus
• Experience with managing stakeholders would be a plus
Salary Package:
• Up to €110,000 per annum (D.O.E)
• Possibility to work from different offices around Europe
• 1 day per week in the office
Make sure to apply here or reach me on the following:
Phone:
Seniority level- Seniority levelMid-Senior level
- Employment typeFull-time
- Job functionEngineering, Finance, and Information Technology
- IndustriesFinancial Services, Software Development, and Climate Data and Analytics
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