Data Engineer

At Arcus, we’re investing in our data platform and building the foundations that enable smarter decisions, better insights, and continued business growth. We’re looking for a talented Data Engineer to join our Software Development team, on an 18-month fixed term contract, and help shape the future of our cloud-based data environment.

This is an exciting opportunity for an experienced engineer who enjoys building scalable data solutions, working with modern AWS technologies, and solving complex data challenges. You’ll play a key role in developing reliable data pipelines and lakehouse platforms that support analytics, reporting, and decision‑making across the business.

Although this role allows for primarily remote working, there is a requirement to attend the Redditch office at least once a month.

As a Data Engineer, you’ll design, develop, and maintain cloud‑native data solutions that ensure data is accurate, accessible, and trusted.

• Designing and developing scalable data pipelines using Python and Py Spark
• Building and optimising data workflows using AWS Glue, Athena, Redshift
  , and related AWS services
• Supporting modern lakehouse architectures, including Apache Iceberg
• Working with relational and No
  
  SQL databases to ensure data is reliable and fit for purpose
• Collaborating with analysts, engineers, product owners, and stakeholders within an Agile environment
• Troubleshooting data issues, improving pipeline performance, and supporting production systems
• Maintaining technical documentation and contributing to engineering best practice

We’re looking for a proactive and hands‑on Data Engineer who enjoys solving problems, improving processes, and delivering high‑quality technical solutions.

• Experience as a Data Engineer, ETL Developer, Data Platform Engineer, or a similar role
• Strong hands‑on experience with Python and Py Spark
• Experience with AWS Glue, Amazon Athena, Amazon Redshift
  , and cloud‑based data platforms
• Strong SQL skills and experience working with both relational and No
  
  SQL databases
• Experience supporting or developing Apache Iceberg or modern lakehouse solutions
• Experience working in Agile delivery environments
• Familiarity with Linux and Git‑based version control

• Experience with Amazon Kinesis
• Experience using Jira
• Exposure to CI/CD pipelines and modern software engineering practices

• Degree in Computer Science, Data Engineering, Software Engineering, Mathematics, or a related discipline

• Up to £45,000 per annum, depending on experience
• Up to 4% discretionary bonus based on performance
• 25 days annual leave plus Bank Holidays
• Generous pension scheme with matched contributions (5%-6%)
• Life Assurance
• Salary Sacrifice Electric Vehicle Scheme
• Learning & Development opportunities, including funded training sponsor ships
• Cycle to Work Scheme
• Health cash plan

You’ll be joining a collaborative technology team that is modernising how data is managed and used across the organisation. We offer the opportunity to work with contemporary cloud technologies, contribute to meaningful projects, and influence the evolution of our data platform.