Data Engineer
Arcus FM
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, 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.
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. Ready to Apply?
If you're passionate about building reliable, scalable data platforms and want to play a key role in our data transformation journey, we'd love to hear from you. Apply today and help us turn data into insight.
Requisition ID
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.
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. Ready to Apply?
If you're passionate about building reliable, scalable data platforms and want to play a key role in our data transformation journey, we'd love to hear from you. Apply today and help us turn data into insight.
Requisition ID
Reference: WJCPA-5429_384180 · Posted 13 Nov 2026, 12:52 AM