We're seeking a Senior Data Engineer to play a key role in designing and delivering scalable, cloud-based data solutions that support business-critical decision-making. You'll work across the full data lifecycle, building robust pipelines, optimising performance, and helping drive best practice within a growing data function.

Client Details

Our client is a forward-thinking organisation undergoing significant investment in its data and technology capabilities. Operating in a fast-paced environment, they are leveraging modern cloud technologies to transform how data is used across the business and create a more data-driven culture.

Description

• Design, develop, and maintain scalable data pipelines using Python and Databricks.
• Build and optimise ETL/ELT workflows using Spark and Delta Lake.
• Develop and maintain data models and lakehouse architectures.
• Ensure high levels of data quality, reliability, governance, and security.
• Optimise the performance of distributed data processing workloads.
• Collaborate with analysts, engineers, and data scientists to support reporting and advanced analytics initiatives.
• Implement monitoring, logging, and alerting frameworks across data platforms.
• Support and mentor junior engineers while promoting engineering best practices.
• £700-900 Day Rate (Inside IR35)
• Contribute to the continual evolution of the organisation's data platform and architecture.

Profile

• 10+ years' experience in Data Engineering.
• Strong commercial experience with Python.
• Advanced hands-on knowledge of Databricks, including notebooks, workflows, jobs, and Delta Lake.
• Strong experience with Apache Spark / PySpark.
• Proven track record building and maintaining scalable ETL pipelines.
• Strong SQL and data modelling expertise.
• Experience working within AWS, Azure, or GCP environments.
• Exposure to modern data warehousing platforms such as Snowflake, BigQuery, or Redshift.
• Familiarity with orchestration tools including Airflow or Databricks Workflows.
• Excellent communication skills with the ability to engage technical and non-technical stakeholders.
• Strong problem-solving mindset and a passion for delivering high-quality data solutions.

Job Offer

• Opportunity to influence the direction of a modern data platform.
• Exposure to the latest cloud, data engineering, and lakehouse technologies.
• Collaborative and highly skilled technical environment.
• Clear opportunity to mentor others and shape engineering best practice.
• Flexible working arrangements.