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We are supporting a leading client in Financial Services who are at the early stages of building a new enterprise Data Lake on Azure Cloud. To deliver this programme, we’re looking for experienced Contract Data Engineers with proven expertise in Databricks and Snowflake, available for immediate engagement.

Overview

Role to design, build and optimise data pipelines and ETL processes on Azure Databricks, implement scalable data models in Snowflake, and contribute to building a secure, production-ready Data Lake from the ground up.

Responsibilities

• Design, build, and optimise data pipelines and ETL processes on Azure Databricks
• Implement scalable, high-performance data models in Snowflake
• Work with architects and stakeholders to define data architecture, storage, and integration patterns
• Contribute to the build of a secure, production-ready Data Lake from the ground up
• Support best practices across data quality, governance, and CI/CD

You will bring

• Strong commercial experience as a Data Engineer
• End-to-end project exposure, ideally from greenfield/early-stage Data Lake builds
• Hands-on knowledge of Databricks (Spark, Delta Lake, ML pipelines) and Snowflake (warehousing, optimisation, security)
• Solid understanding of Azure Cloud services (Data Factory, Synapse, Storage, DevOps)
• Strong SQL, Python, and ETL/ELT background
• Start: ASAP
• Duration: 6–12 months
• Location: Remote (UK/EU based)
• Day Rate: Competitive

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Engineering and Information Technology

Industries

• IT Services and IT Consulting
• Business Consulting and Services
• Financial Services

If you’ve successfully delivered Databricks + Snowflake projects on Azure and want to play a key role in building a new data platform from the ground up, we’d love to hear from you.

We’re not including location-based job postings or notifications in this refined description.