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# Senior Data Engineer

- **Company:** DWP Digital
- **Location:** Tyldesley, UK
- **Experience:** Expert
- **Salary:** £75,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Code Review, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Python (Programming Language), Standard Sql, SQL Databases, Informatica Powercenter, Apache Spark, Build Management, Pyspark, Apache Kafka, Build Process, Data Management, Data Pipelines
- **Published:** August 27, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5856702422

## About the Role

* Experience leading the technical delivery of data or ETL projects, ensuring work is high quality, reliable, and fit for purpose.
 * Solid, hands-on experience with Informatica PowerCenter, including using it to integrate, transform, and manage data effectively.
 * Strong experience building and delivering data pipelines using cloud platforms, preferably AWS, and big data tools such as Kafka or Spark.
 * Confident using Python or PySpark and SQL to process, transform, and analyse data, and able to guide others in doing the same.
 * Good understanding of modern data platforms such as Azure or Fabric, including how data is ingested, cleaned, structured, and made available to users.
 * Experience leading or supporting large-scale platform migrations or transformations, ensuring best practice is followed and risks are managed.
 * Ability to lead engineers through line management or technical leadership, coaching, mentoring, and helping others develop their skills.
 * Ability to pass Security Check clearance.

## Description

* Lead engineers directly and indirectly, providing day-to-day guidance, mentoring, and technical direction.
 * Set direction, drive conversations, and influence engineering outcomes across multiple teams.
 * Support ongoing platform migrations and transformation activity.
 * Design and build new pipelines and services.
 * Review and assure the work of other engineers.
 * Set standards and patterns that ensure consistency and quality across delivery.
 * Build engineering capability by supporting less experienced engineers.
 * Embed best practice and help create a culture of continuous improvement.
 * Carry out code reviews, provide technical coaching, and define how we approach data engineering at scale.
 * Help establish senior data engineering excellence within our enablement space.

Technologies:

 * AWS
 * Azure
 * Big Data
 * Cloud
 * ETL
 * Fabric
 * Informatica
 * Support
 * Kafka
 * LESS
 * Python
 * PySpark
 * SQL
 * Security
 * Spark


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