Data Engineer (Databricks and AWS) in Leeds

Data Engineer (Databricks and AWS) in Leeds

Leeds Full-Time 73941 - 73941 £ / year (est.) Home office (partial)
CGI Group Inc.

At a Glance

  • Tasks: Design and optimise data pipelines using Databricks, AWS, and Python for healthcare solutions.
  • Company: Join CGI, a leading IT and business consulting firm transforming healthcare through data.
  • Benefits: Competitive salary, private healthcare, pension scheme, and opportunities for professional growth.
  • Other info: Hybrid role in Leeds with a supportive team culture focused on innovation and excellence.
  • Why this job: Make a real impact on critical healthcare systems while working with cutting-edge technologies.
  • Qualifications: Experience in data engineering, Databricks, Apache Spark, and AWS cloud services required.

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.

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.

Data Engineer (Databricks and AWS) in Leeds employer: CGI Group Inc.

At CGI, we pride ourselves on being an exceptional employer, particularly for those in the Data Engineering field. Our collaborative and inclusive work culture fosters innovation and personal growth, allowing you to take ownership of your projects from day one. With competitive salaries, comprehensive benefits including private healthcare and a share scheme, and a commitment to professional development, you'll thrive in our supportive environment while making a meaningful impact on the future of healthcare.

CGI Group Inc.

Contact Details:

CGI Group Inc. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer (Databricks and AWS) in Leeds

Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio showcasing your data projects, especially those using Databricks and AWS. This gives potential employers a taste of what you can do.

Tip Number 3

Prepare for interviews by practising common data engineering questions. Get comfy with explaining your thought process and how you tackle complex datasets.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!

We think you need these skills to ace Data Engineer (Databricks and AWS) in Leeds

Databricks
Apache Spark
Python
AWS
S3
Glue
Lambda

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 data pipelines and ETL processes 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 AWS Ecosystem

Familiarise yourself with AWS services like S3, Glue, and Lambda. Prepare to explain how you've leveraged these tools in past roles to create scalable data solutions, and be ready to discuss best practices for data governance and compliance.

Showcase Your Collaboration Skills

Since this role involves partnering with both technical and business stakeholders, think of examples where you've successfully translated complex requirements into effective data solutions. Highlight your communication skills and ability to work in a team.

Emphasise Continuous Improvement

Be prepared to talk about how you've driven innovation in your previous roles. Share specific instances where you've improved data engineering practices or introduced new technologies that enhanced efficiency or data quality.