Senior Data Engineer

About Legal 500:

Legal 500 was founded by John Pritchard in 1987 as the original clients' guide to law firms, the first of its kind. It is now a data driven, AI optimised research platform which benchmarks, informs and connects providers and users of legal services in over 100 countries worldwide.

Our research and data are trusted and relied upon by corporate clients globally as an essential part of the process, both of instructing law firms with new mandates, and when reviewing existing mandates or panels.

We exist to empower both buyers and sellers in the international legal marketplace to make better decisions and have improved outcomes for their organisations. This is achieved by leveraging a trusted, comprehensive research process with a unique, vast, proprietary and constantly updated set of client supplied data, unrivalled in the market.

On the supply side of the legal market, every year Legal 500's team of over 150 researchers, technologists, data analysts, journalists and content specialists collate and review 60,000+ data submissions from law firms and conduct interviews with thousands of leading law firm partners. On the demand side, Legal 500 analyses confidential data from 300,000+ commercial law firm clients to benchmark law firms and lawyers by practice area; industry; jurisdiction; as well as by proprietary client satisfaction metrics, NPS, and other qualitative and quantitative criteria.

Legal 500 is the only source of this depth of global research and data on law firms, lawyers and their clients.

At Legal 500, data sits at the heart of how we support and inform the global legal market. As we continue to scale our data platform and expand the use of trusted analytics across the business, we're looking for a Senior Data Engineer to help build the foundations that ensure our data is accurate, reliable, observable, and trusted by default.

This is not a role focused purely on moving data from A to B.

We're looking for an engineer who genuinely cares about data quality, testing, integrity, monitoring, and operational excellence, someone who enjoys solving complex platform challenges and building scalable engineering standards that other teams can rely on.

You'll join a growing Data team within a Microsoft/Azure environment and play a key role in shaping how data engineering is done across the business.

We're looking for a Senior Data Engineer who combines strong technical depth with a quality first engineering mindset.

You should be comfortable operating as a hands on individual contributor while helping raise engineering standards across the wider data environment.

• Strong SQL and Snowflake expertise, including designing, optimising, and testing analytical data models, alongside implementing data validation and integrity checks
• Strong Python engineering experience within modern data environments, including automation, pipeline development, and operational tooling
• Proven experience implementing data quality and testing frameworks across modern data stacks, including schema testing, anomaly detection, reconciliation checks, and dbt/CI/CD integration
• Experience working with Infrastructure as Code principles and tools such as Terraform or similar
• Experience implementing monitoring, alerting, observability, and orchestration solutions using tools such as Dagster, GitHub, and CI/CD workflows

• Data quality issues are detected automatically and early
• Failures are visible, actionable, and monitored effectively
• Engineers and analysts trust the data platform by default
• Testing and validation become embedded into everyday engineering workflows
• The platform scales confidently as data usage and business demands increase

• Snowflake
• dbt
• Python
• SQL
• Dagster
• GitHub
• CI/CD workflows
• Azure
• Infrastructure as Code / Terraform

• Fleet Street, London
• Hybrid working - 3 days per week in the office
• Full-time permanent role