At a Glance
- Tasks: Design and build scalable data pipelines using Databricks, ensuring high data quality and reliability.
- Company: Join a leading tech company committed to inclusivity and diverse talent.
- Benefits: Competitive salary, excellent pension, private healthcare, and a share scheme.
- Other info: Hybrid role with on-site presence in Swansea; great growth opportunities.
- Why this job: Make a real impact in a collaborative environment while developing your career.
- Qualifications: Strong experience with Databricks, SQL, Python, and data engineering.
The predicted salary is between 60000 - 75000 £ per year.
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. You will need to hold a UK Security Clearance or be eligible to go through this clearance. This is a hybrid position with on-site presence in Swansea two days per week.
We offer a competitive salary, excellent pension, private healthcare, and 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 are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. We provide training and support to help you develop your career.
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
Senior Databricks Data Engineer (Hybrid Swansea) employer: 慨正橡扯
At CGI, we pride ourselves on being an excellent employer, offering a collaborative and inclusive work culture that empowers our employees to take ownership of their projects and drive meaningful change. Located in Swansea, our hybrid work model allows for flexibility while fostering strong team connections, and we provide extensive training and career development opportunities alongside competitive benefits such as a robust pension scheme and private healthcare. Join us to be part of a diverse community dedicated to innovation and excellence in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Databricks Data Engineer (Hybrid Swansea)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Databricks. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipelines and projects. This is your chance to demonstrate your hands-on experience with Databricks and Python, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering challenges. Be ready to discuss how you've tackled issues related to data quality and pipeline performance. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our collaborative and supportive environment.
We think you need these skills to ace Senior Databricks Data Engineer (Hybrid Swansea)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your hands-on experience with Databricks, SQL, and Python, and don’t forget to mention any relevant projects that showcase your ability to build scalable data pipelines.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background aligns with our mission at StudySmarter. Be sure to mention your proactive mindset and collaborative spirit!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex challenges in previous roles. We love creative thinkers who can take ownership of their work and drive improvements, so don’t hold back on sharing your success stories!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to see all the details about the role and our awesome company culture!
How to prepare for a job interview at 慨正橡扯
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks skills, especially Delta Live Tables. Be ready to discuss your hands-on experience and any projects you've worked on that involved building scalable data pipelines. This will show your potential employer that you're not just familiar with the tools, but that you can effectively use them to solve real-world problems.
✨Showcase Your Collaborative Spirit
Since this role involves working closely with data teams, be prepared to share examples of how you've collaborated in the past. Highlight instances where you’ve contributed to team success or improved processes. This will demonstrate that you’re a team player who values collaboration and can thrive in a supportive environment.
✨Prepare for Technical Questions
Expect technical questions related to SQL, Python, and PySpark. Brush up on your coding skills and be ready to solve problems on the spot. Practising common data engineering scenarios can help you feel more confident and showcase your problem-solving abilities during the interview.
✨Emphasise Continuous Improvement
Talk about your commitment to continuous improvement and how you've implemented changes in previous roles. Share specific examples of how you've identified data issues and resolved them, or how you've contributed to enhancing data quality and observability. This aligns perfectly with the company’s culture of innovation and improvement.
