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Azure Databricks Data Engineer

Marks Sattin Ltd London, United Kingdom
Posted 7 hours ago Permanent GBP 450.00 - 550.00 per day

Azure Databricks Data Engineer

Marks Sattin Ltd London, United Kingdom
Azure Databricks Data Engineer

Azure Databricks Data Engineer (Contract) | International Digital Infrastructure Organisation | London (Hybrid)




6-Month Initial Contract | Inside IR35 | 4 Days Onsite, 1 Day Remote



We're partnering with a leading international digital infrastructure organisation undergoing a significant data transformation programme. Operating across multiple markets and supporting critical communications infrastructure, the business is investing heavily in its cloud, data, and analytics capabilities to enable more informed decision-making and unlock greater value from its enterprise data estate.



This is an opportunity to join a high-performing Digital Innovations team at a pivotal stage of that journey. You'll play a key role in building and enhancing a modern Azure Databricks platform that supports business-critical reporting, analytics, and future AI initiatives. Working closely with architects, engineers, and senior stakeholders, you'll help shape the direction of the data platform while delivering scalable, secure, and high-quality data solutions.




What You'll Do



  • Design, develop, and optimise Azure Databricks solutions using PySpark, Python, SQL, and Azure-native technologies.

  • Build and maintain enterprise-grade ETL/ELT pipelines supporting ingestion, transformation, CDC, validation, and data delivery across multiple business functions.

  • Develop and support Lakeflow pipelines, Delta Lake implementations, and modern data engineering frameworks.

  • Drive best practices across performance optimisation, security, governance, monitoring, and platform reliability.

  • Collaborate with business, data, and technology teams to deliver high-quality data products that support organisational growth and strategic decision-making.




What You'll Bring



  • Proven experience designing and delivering solutions within Azure Databricks environments.

  • Strong Python, PySpark, SQL, and T-SQL development skills.

  • Expertise building and supporting large-scale ETL/ELT pipelines and cloud-based data platforms.

  • Strong understanding of Delta Lake, Unity Catalog, data governance principles, and medallion architecture.

  • Experience integrating REST APIs, JSON data sources, Azure Data Factory, ADLS, Key Vault, and other Azure services.

  • Hands-on experience with Git, CI/CD pipelines, deployment automation, and production support.

  • Strong troubleshooting, performance tuning, and optimisation experience across Databricks and SQL environments.

  • Excellent stakeholder engagement and communication skills, with the ability to operate effectively across both technical and business teams.




Desirable Experience



  • Exposure to Microsoft Fabric.

  • Databricks certifications.

  • Experience with Terraform and infrastructure-as-code practices.

  • Experience working within large, international or regulated environments.




The Opportunity



This role offers the chance to join a business where data is becoming increasingly central to operational performance and strategic growth. You'll have the opportunity to influence a core enterprise platform, work on complex and meaningful data challenges, and contribute to a long-term transformation programme with real organisational impact.



If you're an experienced Azure Databricks Data Engineer looking for a contract opportunity where you can help shape the future of a modern data platform, we'd love to hear from you. Please send across your CV for a confidential discussion.



We are happy to provide application and/or accessibility support, please contact your Marks Sattin or Grafton consultant directly to discuss your needs. We're committed to protecting the privacy of all our candidates and clients, please visit https://www.markssattin.co.uk/privacy and https://uk.grafton-recruitment.com/en/privacy-policy-1 for our privacy policy.

Job ID  BBBH194723
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