Data Engineer

Arcus FM Limited.; Redditch; Hybrid; GBP 41,000 - 50,000; Full time

Benefits offered by this job

Discretionary bonus

25 days annual leave

Pension scheme (matched)

Job summary

Arcus FM Limited is seeking a proactive Data Engineer to design, develop, and maintain cloud-native data solutions and lakehouse platforms. You will build scalable data pipelines using Python and PySpark, optimize workflows with AWS Glue, Athena, Redshift, and collaborate across agile teams.

The role supports a primarily remote setup with a monthly requirement to attend the Redditch office. A degree in a related field and hands-on data engineering experience are essential.

Qualifications

• Degree in Computer Science, Data Engineering, Software Engineering, Mathematics, or related field.
• Hands-on experience as a Data Engineer, ETL Developer, or similar.
• Strong SQL skills and experience with relational and NoSQL databases.
• Proficient in Python and PySpark for data pipelines.

Responsibilities

• Design, develop, and maintain cloud-native data solutions and lakehouse components.
• Build scalable data pipelines using Python and PySpark.
• Optimize data workflows with AWS Glue, Athena, Redshift and related services.
• Support Apache Iceberg and modern lakehouse architectures.
• Collaborate with analysts, engineers, and product owners in Agile environments.
• Troubleshoot data issues and improve pipeline performance.
• Maintain technical documentation and engineering best practices.

Skills

Python

PySpark

SQL

NoSQL

Linux

Git

Agile

Education

Degree in Computer Science / Data Engineering / Software Engineering / Mathematics (or related)

Tools

AWS Glue

Amazon Athena

Amazon Redshift

Apache Iceberg

Jira

Kinesis

Job description

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.