Senior Data Engineer
Location: 100% Remote (UK-based)
Employment Type: Permanent
Salary: Up to £75,000
Positions Available: 2
The Opportunity
We're looking for two experienced Senior Data Engineers to join a growing data platform team delivering modern cloud-native data solutions at scale.
This role is ideal for self-starters who enjoy autonomy, ownership, and solving complex engineering challenges within a highly collaborative environment.
The core technology stack is Databricks on AWS, and candidates must have strong hands-on experience specifically with Databricks deployed in AWS environments. Experience with Databricks on other cloud platforms alone will not be sufficient, as the implementation approach and tooling differ significantly.
You'll play a key role in designing and building scalable, governed, and high-performing data solutions across the full data engineering lifecycle.
Key Responsibilities
• Design and develop scalable ETL/ELT pipelines using Databricks, Python, SQL, and Spark
• Build and optimise Delta Lake architectures and data pipelines on AWS
• Implement ingestion frameworks using Databricks Autoloader
• Develop transformation workflows using Lakeflow / Delta Live Tables
• Work with Data Asset Bundles for deployment and environment management
• Support CI/CD and infrastructure automation across the data platform
• Ensure data quality, governance, lineage, and observability best practices
• Optimise cluster performance, orchestration, and cost efficiency
• Collaborate with architects, analysts, and wider engineering teams
• Contribute to platform standards, reusable frameworks, and engineering best practices
Essential Skills & Experience
• Strong commercial experience as a Senior Data Engineer
• Proven expertise with Databricks on AWS (essential)
• Strong understanding of Spark, Delta Lake, and Lakehouse architecture
• Hands-on experience with Databricks Autoloader and Lakeflow / DLT
• Experience using Data Asset Bundles within Databricks environments
• Strong AWS experience across modern cloud-native data platforms
• Good understanding of the full data engineering lifecycle
• Experience building scalable, maintainable, and production-grade data solutions
• Strong communication and stakeholder engagement skills
• Comfortable working independently with high levels of ownership and autonomy
Nice to Have
• CI/CD and Infrastructure as Code experience
• Experience with governance and metadata tooling
• Exposure to data observability and monitoring frameworks
• Previous experience working in fast-paced agile delivery environments
This is an excellent opportunity to join a modern engineering environment where you'll have genuine influence over platform direction, architecture, and engineering standards.