Finance Data Analyst

Y-Axis; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Add Agility in London is seeking a data engineering specialist to extract data from Azure DevOps, transform it in Databricks, and deliver robust datasets powering a metrics dashboard across multiple tech teams.

The role focuses on Databricks pipelines, Azure DevOps data, and Palantir Foundry elements, with a hands-on emphasis on building the data layer and metrics. Hybrid work with two days in London and three days remote.

Qualifications

• Experience with Azure DevOps APIs and Analytics data.
• Proficient in building robust ingestion pipelines into Databricks.
• Ability to transform Azure DevOps work-item and historical data.
• Able to create clean, reusable datasets for reporting and analytics.

Responsibilities

• Extract data from Azure DevOps and work with APIs/Analytics data.
• Build robust ingestion pipelines into Databricks.
• Transform Azure DevOps work-item data for analytics dashboards.
• Create reliable data models and tables for dashboards.

Skills

Databricks

Azure DevOps

Data pipelines

Data modeling

Analytics

Tools

Azure DevOps

Palantir Foundry

Job description

About the job

Commitment: 5 days per week

Location: Hybrid – 2 days per week in London, 3 days remote

Requirements : Have the right to work in the uk.

The Role

The core challenge is to extract data from Azure DevOps, transform it in Databricks and create reliable, reusable datasets that can power a comprehensive metrics dashboard across a large number of technology teams.

You will be working for Add Agility a consultancy that solves problems for clients and working with one or more of our clients based in central London

This is primarily a Databricks and data engineering role . With some The wider environment also includes Palantir Foundry data visualisation. , but deep Palantir expertise is not required. Other members of the team can support with Palantir-specific elements.

What You'll Be Doing

• Extracting data from Azure DevOps
• Working with Azure DevOps APIs and/or Analytics data
• Building robust ingestion pipelines into Databricks
• Understanding and transforming Azure DevOps work-item and historical data
• Creating clean, reusable datasets for reporting and analytics
• Building calculations for engineering and delivery metrics.
• Creating reliable data models and tables that can be consumed by the dashboard layer
• Improving data quality, validation and monitoring
• Working alongside product, engineering and client stakeholders to turn metric definitions into working data products
• Creating components and approaches that can be reused across future implementations

This is a hands-on engineering role . We need someone who can understand the underlying Azure DevOps data, build the pipelines and transformations, and turn it into a robust data layer from which meaningful engineering metrics can be calculated.

The initial engagement runs five days per week until Christmas 2026 , with two days per week working with the team in London and three days remote.