Remote Senior Data Engineer - AWS/Databricks/PySpark - August Start Date in Essex

Senior Data Engineer| AWS/Databricks/PySpark | London/Glasgow (Hybrid) | August Start Role: Senior Data Engineer Location: This is a hybrid engagement represented by 2 days/week onsite, either in Central London or Glasgow. Start Date: Must be able to start mid-August. Salary: £80k-£90k (Senior) | £90k-£95k (Lead) About The Role Our partner is 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 an opportunity to work on cutting-edge data pipelines, cloud-native platforms and real-time data flows in a collaborative, forward-thinking environment. You’ll be involved in designing and building production-grade ETL pipelines, driving DevOps practices across data systems and contributing to high-availability architectures using tools like Databricks, Spark and Airflow- all within a modern AWS ecosystem. Responsibilities Architect and build scalable, secure data pipelines using AWS, Databricks and PySpark. Design and implement robust ETL/ELT solutions for both structured and unstructured data. Automate workflows and orchestrate jobs using Airflow and GitHub Actions. Integrate data with third-party APIs to support real-time marketing insights. Collaborate closely with cross-functional teams including Data Science, Software Engineering and Product. Champion best practices in data governance, observability and compliance. Contribute to CI/CD pipeline development and infrastructure automation (Terraform, AWS DevOps). Provide input into technical decisions, peer reviews and solution design. Requirements Proven experience as a Data Engineer in cloud-first environments. Strong commercial knowledge of AWS services (e.g. S3, Glue, Redshift). Advanced PySpark and Databricks experience (Delta Lake, Unity Catalog, Databricks Jobs etc). Proficient in SQL (T-SQL/SparkSQL) and Python for data transformation and scripting. Hands-on experience with workflow orchestration tools such as Airflow. Strong version control and DevOps exposure (Git, GitHub Actions, Terraform). Familiar with data quality tools and metadata/cataloguing (e.g. Great Expectations, Unity Catalog). Beneficial: MarTech domain knowledge. Notable: This is a hybrid engagement represented by 2 days/week onsite, either in Central London or Glasgow. You must be able to start in August. Senior Data Engineer| AWS/Databricks/PySpark | London/Glasgow (Hybrid) | August Start