Data Engineer

Founderr; Bradford; Hybrid; GBP 49,500 - 60,500; Full time

Job summary

Founderr is seeking a Data Engineer to help shape the enterprise data platform. You will ingest project and legacy data, build pipelines in Azure Data Factory, write transformations in Python and PySpark, and contribute to a Databricks-based platform in a modern transformation programme.

You will work with data analysts, architects and application engineers in a collaborative, insight-focused environment with an emphasis on quality over firefighting. 3+ years in data engineering required.

Qualifications

• Proficiency in Python including PySpark for transformations.
• Strong SQL skills.
• Hands-on experience with Azure Data Factory.
• Hands-on experience with Azure Databricks and understanding of its components.
• Around 3+ years in a data engineering role.
• Nice to have: Azure Synapse, data quality/testing, Agile/Scrum, CI/CD.

Responsibilities

• Build and maintain data pipelines in Azure Data Factory.
• Write transformations in Python and PySpark within Databricks.
• Ingesting and structuring project and legacy data to a clear standard.
• Create curated datasets to support reporting and analytics.
• Contribute to data quality rules and automated testing.
• Document pipelines and following good engineering practice.

Skills

Python

PySpark

SQL

Data engineering

Tools

Azure Data Factory

Azure Databricks

Azure Synapse

Job description

Our client, a large purpose-led organisation in the middle of a major data and technology transformation, is building out its data engineering capability and hiring Data Engineers to help shape the enterprise data platform.

This is a genuine build role. You will be ingesting project and legacy data, building and maintaining pipelines in Azure Data Factory, writing transformations in Python and PySpark, and helping shape a modern Databricks-based platform that powers reporting, analytics and decision-making across the business. You will work alongside data analysts, architects and application engineers in a collaborative, non-operational environment focused on insight rather than firefighting.

What you will be doing

• Building and maintaining data pipelines in Azure Data Factory
• Writing transformations in Python and PySpark within Databricks
• Ingesting and structuring project and legacy data to a clear standard
• Creating curated datasets to support reporting and analytics
• Contributing to data quality rules and automated testing
• Documenting pipelines and following good engineering practice

What we are looking for

• Proficiency in Python, including PySpark, for transformations
• Strong SQL
• Hands-on experience with Azure Data Factory
• Hands-on experience with Azure Databricks and a real understanding of its components
• Around 3+ years in a data engineering role
• Nice to have: Azure Synapse, data quality/testing, Agile/Scrum, CI/CD

What is on offer

• Salary starting at £55,000, with some flexibility for the right person
• Largely remote working, with occasional on-site days in the Bradford area (as little as once or twice a month for a strong remote candidate)
• The chance to help build a data platform rather than just maintain one, inside a sizeable transformation programme
• A supportive, insight-focused team with no on-call or heavy operational support burden