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# Senior Data Engineer

- **Company:** CGI Group Inc.
- **Location:** Wales, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Big Data, Continuous Integration, Information Engineering, Data Transformation, DevOps, Python (Programming Language), SQL Databases, SQL Server Integration Services, Datadog, Pyspark, Atlassian Tools, Software Version Control, Data Pipelines, Databricks
- **Published:** June 5, 2026
- **Apply:** https://find.jobs/jobs-near-me/senior-data-engineer-wales-yorkshire/2804422550-2/

## About the Role

To succeed, you will bring strong hands-on data engineering experience, a proactive mindset, and the ability to work collaboratively in complex environments. You should be comfortable taking ownership of solutions while supporting others to succeed., * Strong experience with Databricks, including Delta Live Tables (DLTs).

 * Proficiency in SQL, Python, and PySpark.
 * Experience working with SSIS packages.
 * Proven experience building and maintaining scalable data pipelines.
 * Solid understanding of data quality, consistency, and lineage.

Desirable experience:

 * Experience with AWS or Azure cloud platforms.
 * Strong data modelling and data transformation expertise.
 * Knowledge of CI/CD, version control, and DevOps practices for data.
 * Experience with data quality, testing, and observability tooling.
 * Familiarity with JIRA and Confluence.

Together, as owners, let's turn meaningful insights into action.

## Description

At CGI, we help organisations transform how they use data to deliver smarter decisions and lasting value. As a Senior Data Engineer, you'll play a key role in building and evolving a modern, large-scale data platform, designing reliable and scalable pipelines that support critical business outcomes. Working closely with data leaders and delivery teams, you'll help shape engineering standards, improve data quality, and enable trusted insights. You'll be encouraged to take ownership, apply creative thinking to complex challenges, and grow your impact within a collaborative, supportive environment., * Build & Engineer: Develop and maintain Databricks pipelines, including Delta Live Tables, using PySpark and Python.

 * Ensure Quality: Maintain data quality, consistency, and lineage across all data sources and destinations.
 * Orchestrate & Monitor: Implement orchestration, scheduling, and monitoring to ensure reliable pipeline performance.
 * Collaborate & Align: Work with data teams to ensure alignment with target architecture and best practices.
 * Troubleshoot & Improve: Identify and resolve data issues across development and production environments.
 * Document & Share: Maintain clear technical documentation for pipelines, integrations, and processes.


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