At a Glance
- Tasks: Design and build scalable data pipelines using Databricks, ensuring high data quality and reliability.
- Company: Join a leading tech firm 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; training and support for career development.
- Why this job: Make a real impact in a collaborative environment while growing your career.
- Qualifications: Strong experience with Databricks, SQL, Python, and data engineering best practices.
The predicted salary is between 60000 - 80000 £ 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.
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 Data Engineer in Swansea employer: 慨正橡扯
At CGI, we pride ourselves on being an exceptional employer, offering a collaborative and inclusive work culture that empowers our employees to take ownership of their projects and drive meaningful change. With a competitive salary, excellent pension scheme, private healthcare, and opportunities for career development, we are committed to fostering a diverse community of tech talent in Swansea. Join us to not only advance your career but also become a valued partner in our mission to deliver trusted insights through innovative data solutions.
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 your connections in the data engineering field and let them know you're on the lookout for opportunities. Attend meetups or webinars related to data engineering to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks and data pipelines. This will give you an edge during interviews and help demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL, Python, and PySpark skills. Practice common data engineering problems and be ready to discuss how you've tackled challenges in past projects.
✨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 proactive about their job search!
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 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 proactive mindset aligns with our collaborative culture. Share specific examples of how you've taken ownership in past roles and contributed to successful outcomes.
Showcase Your Problem-Solving Skills:In your application, highlight instances where you've tackled complex challenges in data engineering. We love creative thinkers, so share how you’ve improved data quality or implemented innovative solutions in previous projects.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of success. It’s the easiest way for us to see your application and get you into the process. Plus, you’ll find all the details you need about the role and our awesome company culture!
How to prepare for a job interview at 慨正橡扯
✨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. Prepare specific examples that showcase your experience with Delta Live Tables and how you’ve ensured data quality and consistency.
✨Showcase Your Collaborative Spirit
Since this role involves working closely with data teams, be prepared to talk about your experiences collaborating with others. Share examples of how you’ve aligned engineering standards and improved data quality through teamwork. Highlight your ability to take ownership while supporting your colleagues.
✨Prepare for Problem-Solving Questions
Expect questions that test your troubleshooting skills. Think of complex challenges you've faced in previous roles and how you resolved them. Be ready to explain your thought process and the steps you took to improve pipeline performance or data observability.
✨Understand the Company Culture
Familiarise yourself with the company’s commitment to inclusivity and support for the Armed Forces. Be ready to discuss how you can contribute to a diverse community of tech talent. Showing that you align with their values can set you apart from other candidates.
