Data Engineer

Arcus FM; Redditch; Hybrid; GBP 27,000 - 45,000; Full time

Benefits offered by this job

Bonus up to 4%

25 days annual leave

Pension matched (5%-6%)

Life Assurance

Cycle to Work

Health cash plan

Training sponsorships

Job summary

Arcus is hiring a Data Engineer to join our Software Development team. You’ll design, develop and maintain cloud-native data solutions that ensure data is accurate, accessible and trusted. You’ll build scalable pipelines, optimize data workflows with AWS Glue, Athena, Redshift and contribute to lakehouse initiatives.

Working primarily remotely with monthly visits to the Redditch office, you’ll collaborate in an Agile environment with stakeholders across the business.

Qualifications

• Experience designing data pipelines and lakehouse platforms.
• Strong SQL and data modelling skills.
• Hands-on cloud data engineering experience.

Responsibilities

• Design and develop scalable data pipelines in Python and PySpark.
• Build data workflows using AWS Glue, Athena, Redshift, and related services.
• Support lakehouse architectures and ensure data reliability.

Skills

Python

PySpark

SQL

Linux

Git

Agile

NoSQL

Education

Degree in Computer Science or related

Tools

AWS Glue

Amazon Athena

Amazon Redshift

Apache Iceberg

Jira

Job description

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.

About the Job

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

To be successful you will have:

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.