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- Tasks: Build and maintain scalable data pipelines using Databricks, SQL, Python, and PySpark.
- Company: Join CGI, a top-rated employer known for its inclusive and supportive culture.
- Benefits: Competitive salary, excellent pension, private healthcare, and a share scheme.
- Why this job: Make a real impact by transforming data into actionable insights in a collaborative environment.
- Qualifications: Strong data engineering experience with Databricks and proficiency in SQL and Python.
- Other info: Hybrid role with opportunities for career growth and professional development.
The predicted salary is between 36000 - 60000 £ per year.
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.
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.
Responsibilities- 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.
To be successful in this role, you should have 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.
- 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. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because you are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.
Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team-one of the largest IT and business consulting services firms in the world.
Senior Data Engineer in Swansea employer: Women In Tech
Contact Detail:
Women In Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Swansea
✨Tip Number 1
Network like a pro! Reach out to current employees at CGI on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your data engineering projects. This is your chance to demonstrate your hands-on experience with Databricks, SQL, and Python.
✨Tip Number 3
Ace the interview by being ready to discuss real-world problems you've solved. Think about how you've tackled data quality issues or built scalable pipelines, and be prepared to share those stories!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the CGI family. Let’s make it happen!
We think you need these skills to ace Senior Data Engineer in Swansea
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Engineer role. Highlight your hands-on experience with Databricks, SQL, and Python, as these are key to what we’re looking for.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data engineering and how you can contribute to our team. Share specific examples of past projects where you’ve taken ownership and solved complex challenges.
Showcase Your Collaborative Spirit: We value teamwork, so don’t forget to mention instances where you’ve worked closely with others to achieve a common goal. This could be in your previous roles or during your studies—just make it relevant!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Women In Tech
✨Know Your Tech Inside Out
Make sure you brush up on your Databricks, PySpark, and Python skills. Be ready to discuss how you've built and maintained scalable data pipelines in the past. Having specific examples at hand will show that you not only understand the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex challenges you've faced in data engineering and how you tackled them. Highlight your proactive mindset and ownership of solutions. This will demonstrate your ability to troubleshoot and improve processes, which is key for the role.
✨Emphasise Collaboration
Since this role involves working closely with data teams, be ready to share experiences where you've successfully collaborated with others. Discuss how you align with target architecture and best practices, as well as how you’ve contributed to a supportive team environment.
✨Understand the Company Culture
Familiarise yourself with CGI's values and culture. They value inclusivity and teamwork, so think about how your personal values align with theirs. Being able to articulate why you want to be part of their community will set you apart from other candidates.
