Data Engineer (AWS) in Cheltenham

You might know us for the great work we do across our wide variety of projects. We’re proud to say it’s thanks to our people’s diversity of thought, expertise and knowledge. And when you join us, you’ll be a part of this genuinely collaborative environment, where everyone’s voice is valued and treated equally. We’re passionate about what we do, but we don’t take ourselves too seriously. Simply put, this is a great place to be.

You’ll keep people connected, critical businesses running and advanced communication networks safe. You will work with the finest minds on some of the most challenging engineering projects of our time. Our award‑winning team pushes the boundaries to deliver amazing solutions which meet the constantly evolving needs of our clients across a wide range of markets on a global scale.

If you’re an experienced and talented data engineer who pushes the boundaries and enjoys an exciting and fast paced agile environment, we can offer you the chance to continue to grow your experience and a competitive package to match. If you want to enjoy a rewarding future as part of our team, where we support creativity through cutting edge technology innovation projects – join us.

You will get involved across the entire data lifecycle, developing, delivering, and supporting cutting edge solutions for our clients across varied domains and verticals. The role will require some on‑site working at client sites. The right candidates will need to demonstrate a desire to be challenged and to contribute towards the success and growth of the business. In return we can offer a challenging and rewarding role, career development, training, an empowered and supportive working environment, and competitive reward package.

Your role:

• Build and deliver AWS Data Engineering solutions.
• Design and maintain scalable data pipelines using AWS services such as Glue, Lambda, Kinesis, and EMR.
• Assemble large, complex data sets that support business requirements across functional and non‑functional domains.
• Develop and optimise data modelling, data mining and data warehousing solutions using Redshift, Lake Formation and related services.
• Build infrastructure for efficient extraction, transformation, and loading (ETL/ELT) from diverse data sources.
• Recommend and implement improvements to enhance data reliability, efficiency, and quality.
• Provide data engineering solutions to cross‑functional teams across the business.
• Create tools and frameworks that enable analytics and data science teams to scale their workloads effectively.

About you:

• Degree or equivalent in a relevant subject (Computer Science, Information Systems, or related technical discipline).
• Deep knowledge of SQL and AWS‑based data architectures and pipelines.
• Experience working with big‑data tools such as Hadoop and Spark, including use with AWS EMR.
• Hands‑on experience with AWS services such as Glue, Redshift, S3, Lambda, Step Functions, Kinesis, and DynamoDB.
• Experience with workflow management and orchestration tools such as Apache Airflow or AWS Step Functions.
• Experience working with large data sets and stream‑processing technologies (e.g., Kinesis, Kafka on AWS).
• Experience with Agile methodology.
• Programming background in Python, Scala, Java, or similar languages.
• Strong written and verbal communication skills and desire to work in cross‑functional teams.
• Consultancy experience is beneficial but not essential.

Rewards & benefits:

Explore the rewards and benefits that help you thrive – at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life.

Security clearance:

This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer.

We are committed to creating a culture where everyone feels that they belong – a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability.