Data Engineer
Summary
Arcus FM is hiring a Data Engineer to build scalable cloud-native data pipelines and lakehouse platforms on AWS. Day to day involves Python/PySpark development, AWS Glue, Athena and Redshift, and Apache Iceberg lakehouse work; the role is primarily remote with one office day per month in Redditch.
Why Join Us
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 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.
What You'll Be Doing
As a Data Engineer, you'll design, develop, and maintain cloud-native data solutions that ensure data is accurate, accessible, and trusted.
Key responsibilities include:
- Designing and developing scalable data pipelines using Python and PySpark
- 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 NoSQL 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
What We're Looking For
We're looking for a proactive and hands-on Data Engineer who enjoys solving problems, improving processes, and delivering high-quality technical solutions.
Essential experience
- Experience as a Data Engineer, ETL Developer, Data Platform Engineer, or a similar role
- Strong hands-on experience with Python and PySpark
- Experience with AWS Glue, Amazon Athena, Amazon Redshift, and cloud-based data platforms
- Strong SQL skills and experience working with both relational and NoSQL 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
Desirable experience
- Experience with Amazon Kinesis
- Experience using Jira
- Exposure to CI/CD pipelines and modern software engineering practices
Qualifications
- Degree in Computer Science, Data Engineering, Software Engineering, Mathematics, or a related discipline
Why Join Arcus?
- 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 sponsorships
- 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.