Position 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.
CGI was recognised in the Sunday Times Best Places to Work List and has been named a UK ‘Best Employer’ by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you’ll be part of an open, friendly community of experts. We’ll train and support you in taking your career wherever you want it to go.
Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid position, with an on-site presence in Swansea two days per week.
Your future duties and responsibilities:
In this role, you will design, build, and maintain scalable data pipelines using Databricks, ensuring solutions align with agreed data models and architectural principles. You’ll collaborate closely with data professionals across engineering and analytics, contributing to reliable, well-governed data platforms that support a wide range of business needs.
You’ll take ownership of engineering outcomes, help improve data quality and observability, and contribute to a culture of continuous improvement, where ideas are shared and supported.
Key responsibilities include:
• 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.
Required qualifications to be successful in this 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.
Essential qualifications:
• 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.
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Skills:
1. Python
2. SQL
3. SQL Server