Senior Data Engineer
Data Integration Specialist / Performance Data Engineer
Location: London / Open to both Remote & Hybrid
Rate: £450 - £500 per day (Inside IR35)
Contract: 5 months (potential to extend)
The Opportunity:
We're partnering with a globally recognised business to find a Senior Data Engineer with a passion for data performance, cloud architecture, and scalable integration.
This role sits at the heart of operational performance, enabling data-driven decisions through robust data pipelines, smart modelling, and seamless integrations. You'll play a critical part in modernising and scaling the data estate across multiple cloud-native tools and platforms.
What You'll Be Doing:
• Build and optimise ETL/ELT pipelines across structured and unstructured data sources using Airbyte, Airflow, DBT Core, and AWS Glue
• Design and maintain dimensional models in Snowflake, including SCDs and best practices for indexing, clustering, and performance
• Collaborate cross-functionally with analysts and business teams to support Power BI and enterprise-wide self-serve analytics
• Implement best practices in data governance, including data quality checks, lineage tracking, and anomaly detection
• Automate data orchestration using tools such as Airflow, Lambda, or Step Functions
• Support financial and operational reporting through snapshot tables and audit-friendly data structures
What We're Looking For:
• Strong understanding of Enterprise Data Warehousing (EDW) with hands-on experience in Kimball-style modelling
• Expert-level SQL skills for complex transformation and query tuning
• Deep knowledge of Snowflake including optimisation, cost management, and architecture
• Experience with modern data stacks – especially DBT Core, Airbyte, and Airflow
• Familiarity with AWS data services (e.g., S3, Lambda, Step Functions)
• Proven ability to support scalable reporting frameworks and drive data reliability
Bonus Points For:
• Experience with data observability and CI/CD pipelines for data engineering
• Exposure to streaming platforms like Kafka or Kinesis
• Comfort working in fast-moving, cross-functional environments
• BI tool experience – Power BI, Tableau, or similar
Data Integration Specialist / Performance Data Engineer
Location: London / Open to both Remote & Hybrid
Rate: £450 - £500 per day (Inside IR35)
Contract: 5 months (potential to extend)
The Opportunity:
We're partnering with a globally recognised business to find a Senior Data Engineer with a passion for data performance, cloud architecture, and scalable integration.
This role sits at the heart of operational performance, enabling data-driven decisions through robust data pipelines, smart modelling, and seamless integrations. You'll play a critical part in modernising and scaling the data estate across multiple cloud-native tools and platforms.
What You'll Be Doing:
• Build and optimise ETL/ELT pipelines across structured and unstructured data sources using Airbyte, Airflow, DBT Core, and AWS Glue
• Design and maintain dimensional models in Snowflake, including SCDs and best practices for indexing, clustering, and performance
• Collaborate cross-functionally with analysts and business teams to support Power BI and enterprise-wide self-serve analytics
• Implement best practices in data governance, including data quality checks, lineage tracking, and anomaly detection
• Automate data orchestration using tools such as Airflow, Lambda, or Step Functions
• Support financial and operational reporting through snapshot tables and audit-friendly data structures
What We're Looking For:
• Strong understanding of Enterprise Data Warehousing (EDW) with hands-on experience in Kimball-style modelling
• Expert-level SQL skills for complex transformation and query tuning
• Deep knowledge of Snowflake including optimisation, cost management, and architecture
• Experience with modern data stacks – especially DBT Core, Airbyte, and Airflow
• Familiarity with AWS data services (e.g., S3, Lambda, Step Functions)
• Proven ability to support scalable reporting frameworks and drive data reliability
Bonus Points For:
• Experience with data observability and CI/CD pipelines for data engineering
• Exposure to streaming platforms like Kafka or Kinesis
• Comfort working in fast-moving, cross-functional environments
• BI tool experience – Power BI, Tableau, or similar
