Remote Senior Data Engineer - AWS/Databricks/PySpark

• We architect and build scalable, secure data pipelines using AWS, Databricks and PySpark.
• We design and implement robust ETL and ELT solutions for structured and unstructured data.
• We automate workflows and orchestrate jobs using Airflow and GitHub Actions.
• We integrate data with third-party APIs to support real-time marketing insights.
• We collaborate closely with cross-functional teams including Data Science, Software Engineering and Product.
• We champion best practices in data governance, observability and compliance.
• We contribute to CI/CD pipeline development and infrastructure automation using Terraform and AWS DevOps.
• We provide input into technical decisions, peer reviews and solution design.

Technologies:

• Airflow
• AWS
• Redshift
• Architect
• CI/CD
• Cloud
• Databricks
• DevOps
• ETL
• Git
• GitHub
• Support
• Marketing
• Python
• PySpark
• SQL
• Terraform
• Unity
• GameDev
• Spark, We are looking for a Senior Data Engineer to join a high-impact engineering team delivering scalable data solutions for complex marketing and customer insight use cases. This is a collaborative, forward-thinking environment where you will work on cutting-edge data pipelines, cloud-native platforms and real-time data flows within a modern AWS ecosystem. The role is a hybrid engagement with two days per week onsite in Central London or Glasgow, and the start date is mid-August.

• We need proven experience as a Data Engineer in cloud-first environments.
• We need strong commercial knowledge of AWS services such as S3, Glue and Redshift.
• We need advanced PySpark and Databricks experience, including Delta Lake, Unity Catalog and Databricks Jobs.
• We need proficiency in SQL, including T-SQL or SparkSQL, and Python for data transformation and scripting.
• We need hands-on experience with workflow orchestration tools such as Airflow.
• We need strong version control and DevOps exposure, including Git, GitHub Actions and Terraform.
• We need familiarity with data quality tools and metadata/cataloguing such as Great Expectations and Unity Catalog.
• MarTech domain knowledge is beneficial.
• We need the ability to start mid-August.
• We need someone who can work onsite two days per week in Central London or Glasgow in a hybrid setup.