Senior Consultant - Full-Stack Developer; Azure​/Snowflake

About the role

We're looking for a Consultant to deliver data integration, migration, and general development work for our clients, primarily in the UK financial services and alternative assets sectors. You'll work hands‑on across the delivery lifecycle — from scoping and design through to build, test, and deployment — with growing ownership of work streams and increasing client‑facing responsibility.

• Design, build, and test data integration and migration pipelines, primarily on the Azure platform.
• Contribute to solution design and technical documentation, translating client requirements into working deliverables.
• Perform data mapping, transformation, validation, and reconciliation across source and target systems.
• Develop and maintain application and integration code following good engineering practices (version control, code review, testing).
• Support deployment and environment management, including Infrastructure as Code where applicable.
• Troubleshoot and resolve data quality, performance, and pipeline issues.
• Work directly with client stakeholders to gather requirements and demonstrate progress.
• Support Senior Consultants and Managers on estimation, planning, and risk identification.

• Typically 2–4 years’ experience in data engineering, integration, or software development (adjust to your banding).
• Strong hands‑on experience with the Microsoft Azure data stack (e.g. Data Factory, Synapse, Azure SQL, Storage, Functions).
• Proficiency in SQL and at least one general‑purpose language (
  Python
  , C#, or similar).
• Solid understanding of ETL/ELT patterns, data modelling, and data migration methodologies.
• Experience with source control (Git) and CI/CD workflows.
• Ability to work in client‑facing delivery environments and communicate clearly with technical and non‑technical audiences.

• Experience with Databricks and/or Snowflake
  .
• Cloud development experience, particularly Infrastructure as Code (Terraform, Bicep, ARM).
• Exposure to data orchestration tools, APIs, and event‑driven integration.
• Financial services, private equity, or alternative assets domain experience.
• Relevant certifications (e.g. Azure Data Engineer Associate, Azure Fundamentals).

• Competitive base salary.
• Annual performance bonus tied to individual and company outcomes.
• Comprehensive benefits package including private medical insurance, life assurance, and income protection.
• Hybrid working model with flexible arrangements to support work‑life balance.
• Generous pension scheme with enhanced employer contributions.
• Continuous learning budget and access to industry conferences, certifications, and training programmes.
• 25 days annual leave plus bank holidays, with option to buy additional days.
• Employee assistance programme and wellbeing support.