At a Glance
- Tasks: Design and optimise data pipelines using Databricks, Apache Spark, and Python.
- Company: Join CGI, a leading IT and business consulting firm transforming healthcare through data.
- Benefits: Competitive salary, excellent pension, private healthcare, and a share scheme.
- Other info: Collaborative environment with opportunities for career growth and continuous learning.
- Why this job: Make a real impact on critical healthcare systems while innovating with cutting-edge technologies.
- Qualifications: Strong data engineering skills with experience in AWS, Databricks, and Python.
The predicted salary is between 73941 - 73941 £ per year.
Design & Build: Develop and optimise data pipelines using Databricks, Apache Spark, and Python.
Develop & Deliver: Create scalable data solutions on AWS leveraging S3, Glue, Lambda, and related services.
Integrate & Automate: Implement ETL processes and data lake/lakehouse architectures that ensure accuracy and reliability.
Collaborate & Advise: Partner with technical and business stakeholders to translate requirements into effective data solutions.
Secure & Govern: Ensure compliance with data governance, NHS standards, and security frameworks.
Innovate & Improve: Drive continuous improvement across data engineering practices and technologies.
To excel in this role, you'll bring strong data engineering expertise and hands-on experience in cloud-based data solutions, ideally within regulated or complex environments such as healthcare. You'll be confident in both the technical and consultative aspects of data delivery.
You must have:
- Hands-on commercial expertise with Databricks.
- Proven experience as a Data Engineer working with large, complex datasets.
- Hands-on expertise with Apache Spark, and SQL.
- Strong proficiency in Python (PySpark preferred).
- Experience with AWS cloud services including S3, Glue, Lambda, IAM.
- Familiarity with ETL design, data modelling, and data lake/lakehouse concepts.
- Understanding of data governance and compliance frameworks.
- Experience in the healthcare sector or knowledge of NHS data standards (advantageous).
At CGI, we're helping to transform the future of healthcare through the power of data. As a Senior Data Engineer, you'll play a pivotal role in designing, building, and optimising data platforms that underpin critical national services. Working at the heart of our Healthcare team, you'll use your expertise in AWS, Databricks, and Python to deliver high-impact solutions that improve outcomes, enhance decision-making, and drive innovation across the sector.
You'll collaborate with experts who share your passion for problem-solving, ownership, and technical excellence-empowered to shape the data foundations of tomorrow.
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.
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 based in Leeds. In this role, you will design, build, and maintain data solutions that power some of the UK's most critical healthcare systems. You'll be part of a collaborative engineering team, transforming how data is captured, processed, and used to drive better patient and operational outcomes.
Your work will combine technical innovation with practical delivery-enabling data accessibility, quality, and security at scale. You'll take ownership of complex data challenges, partner with architects and analysts to shape technical direction, and continuously refine processes to deliver efficient, sustainable data pipelines. Working within CGI's supportive environment, you'll be encouraged to explore new technologies, share knowledge, and contribute to a culture of excellence and innovation.
Senior Data Engineer - Databricks & AWS in Leeds employer: CGI Group Inc.
At CGI, we pride ourselves on being a leading employer in the IT and business consulting sector, particularly within healthcare. Our collaborative work culture fosters innovation and ownership from day one, allowing you to shape your career while contributing to meaningful projects that enhance patient outcomes. With competitive salaries, excellent benefits including private healthcare and a share scheme, and a commitment to inclusivity and employee growth, CGI is an exceptional place to advance your career as a Senior Data Engineer in Leeds.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Databricks & AWS in Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Databricks and AWS. 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 projects with Databricks, Apache Spark, and Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled complex datasets and collaborated with stakeholders in previous roles. Confidence is key!
✨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 - Databricks & AWS in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your hands-on experience with Databricks, AWS, and Python, as these are key for us at StudySmarter.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how your background aligns with our mission. Share specific examples of your work with ETL processes or data lake architectures to grab our attention!
Showcase Your Problem-Solving Skills:In your application, don’t just list your technical skills; demonstrate how you've used them to solve real-world problems. We love seeing candidates who can think critically and innovate in their approach to data challenges.
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 shows us you’re keen on joining our team!
How to prepare for a job interview at CGI Group Inc.
✨Know Your Tech Inside Out
Make sure you brush up on your Databricks, Apache Spark, and Python skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand the Healthcare Context
Since this role is within the healthcare sector, it’s crucial to familiarise yourself with NHS data standards and compliance frameworks. Being able to speak knowledgeably about how your work can impact patient outcomes will set you apart.
✨Showcase Your Collaboration Skills
Prepare examples of how you've worked with both technical and business stakeholders in the past. Highlight your ability to translate complex data requirements into actionable solutions, as collaboration is key in this role.
✨Emphasise Continuous Improvement
Be ready to discuss how you've driven innovation and improvement in your previous roles. Share specific instances where you’ve optimised data pipelines or implemented new technologies that enhanced efficiency.
