Data Engineer (Databricks Snowflake)

Were looking for a Data Engineer with 2 years experience to join our growing data engineering capability. This role is focused on client delivery. Youll work closely with client teams alongside their internal engineers and Alpha consultants to build and support modern data platforms in regulated financial services environments. The work is hands-on and delivery-focused: building pipelines developing data models and helping turn business requirements into trusted production-ready data solutions.

This is a strong opportunity for an engineer who wants more than just pipeline delivery. Youll work directly with clients solve real platform and data problems and build experience across a range of delivery challenges in complex regulated environments.

• Build reliable ingestion pipelines that move client data from source systems into the platform efficiently and securely
• Develop data pipelines to agreed SLAs with a focus on reliability in production
• Work with domain SMEs and delivery teams to translate business logic into pipeline logic that produces accurate trusted outputs Senior Data
• Design data models including Data Vault 2.0 and Kimball dimensional models that support auditability and trusted reporting
• Support testing monitoring troubleshooting and documentation across the delivery lifecycle
• Contribute to engineering standards and delivery best practices as part of a wider team
• Work with the team to implement LLM-based processing in pipelines where appropriate alongside deterministic logic
• Work on delivery teams building AI-enabled solutions on the platform helping to apply trusted data to real client problems
• Share learnings from delivery work and contribute to internal assets tooling and practices over time.

• 2 years in data engineering including production experience with Databricks or Snowflake (one platform is sufficient)
• Strong SQL and Python; comfort with PySpark or Snowpark
• Experience with at least one cloud vendor Azure AWS or GCP including familiarity with core services beyond the data platform itself (networking IAM storage)
• Working knowledge of dimensional modelling (Kimball) and/or Data Vault 2.0
• Strong attention to quality documentation and delivery discipline

• Snowflake or Databricks certifications
• Familiarity with private markets data (fund administration private equity/real estate secondaries) or London Market insurance
• Experience with some supporting tooling across areas such as infrastructure-as-code transformation DevOps data quality governance or orchestration would be beneficial.
• Exposure to regulated environments such as financial services insurance or similarly audited sectors would be beneficial.

Youll work within client teams alongside their internal engineers and Alpha consultants in a regulated environment where change control data lineage and documentation matter. Expect a mix of independent build work and collaborative delivery with regular touchpoints against a delivery plan.

• 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.