Senior Data Platform Engineer - Databricks Lakehouse

Saragossa; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Competitive base salary

Discretionary annual bonus

Long-term share incentive plan

Generous pension

Private medical cover

15 work from anywhere days

Job summary

Saragossa in London is seeking an experienced Data Engineer to design and build a governed, scalable data platform for reporting, analytics, and AI. You will select and prove the stack, starting with a Databricks on Azure PoC, then shape the architecture, codebase and delivery while growing ownership of the platform.

You will implement ingestion pipelines, Terraform and CI/CD from day one, add lineage and Unity Catalog, and enable BI and AI-ready datasets for the board.

Qualifications

• 5 to 7 years of hands-on data engineering, including at least 3 as a core engineer on a significant platform build in investment management or financial services.
• Strong SQL, Python and Spark, plus lakehouse, data modelling and governance experience.
• Hands-on work applying LLMs to data, production or serious side projects; experience with private markets data, Databricks, Power BI or Terraform; Snowflake ok.

Responsibilities

• Design and build a governed data platform for reporting, analytics and AI.
• Write ingestion pipelines for multiple sources and implement a medallion lakehouse.
• Set up Terraform, CI/CD from day one and Unity Catalog for data lineage.
• Enable Power BI and Databricks SQL-based data access for investment teams.

Skills

SQL

Python

Spark

Data modelling

Governance

LLMs in data

Ingestion pipelines

Tools

Databricks

Power BI

Terraform

CI/CD

Unity Catalog

Azure

Snowflake

Job description

Saragossa in London is seeking an experienced Data Engineer to design and build a governed, scalable data platform for reporting, analytics, and AI. You will select and prove the stack, starting with a Databricks on Azure PoC, then shape the architecture, codebase and delivery while growing ownership of the platform.

You will implement ingestion pipelines, Terraform and CI/CD from day one, add lineage and Unity Catalog, and enable BI and AI-ready datasets for the board.