Cloud Data Engineer - PySpark, Lakehouse & AWS

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

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.