Data Engineer (Data Platform) - Maternity cover 12months

The Law Society; Greater London; Hybrid; GBP 70,000 - 95,000; Full time

Benefits offered by this job

Hybrid working

Flexible benefits package

Career development opportunities

Job summary

The Law Society is seeking a Data Engineer to join the Data and AI team at a pivotal stage of our data transformation journey. You will design and develop data products on our Azure Databricks-based platform, ensuring data is ingested, transformed, governed and made available for analytics, reporting and operations.

You will promote performance, scalability and data literacy across the organisation, work with cross‑functional partners, and contribute to a culture of trust and excellence.

Qualifications

• Extensive experience with Azure data stack including Azure Databricks and Data Factory.
• Proficiency in designing data models and ETL/ELT pipelines and modern data architectures (DBT).
• Experience with Power BI or similar visualization tools (Tableau or Qlik).
• Strong programming skills in Python / PySpark / SQL.
• Commitment to good engineering/DevOps practices, including CI/CD and automated testing.
• Ability to collaborate across cross-functional teams and coordinate with stakeholders.

Responsibilities

• Design and develop data products on the Azure Databricks-based platform.
• Ensure data is ingested, transformed, governed and available for analytics, reporting and operations.
• Drive improvements in performance, scalability and data platform literacy.
• Collaborate with cross-functional teams and stakeholders to support strategic priorities.

Skills

Python

PySpark

SQL

CI/CD

DevOps practices

Cross-functional teamwork

Data governance

Data modeling

ETL/ELT design

Tools

Azure Databricks

Azure Data Factory

DBT

Power BI

Tableau

Qlik

Job description

Join the Law Society's Data and AI team at an exciting point in our data transformation journey, where we have just implemented our first Data Platform. As a Data Engineer, you will play a key role in designing and developing data products on the Law Society's Azure Databricks-based data platform. You will ensure data is efficiently ingested, transformed, governed, and made available for analytics, reporting, and operational use. Drive improvements in performance, scalability, and data platform literacy to support the Law Society's strategic priorities.

• Extensive expertise with Microsoft Azure data stack including Azure Databricks and Data Factory.
• Proficiency in designing and implementing data models, ETL/ELT pipelines, and modern data architecture patterns, using tools such as DBT (Data Build Tool).
• Relevant experience with Power BI or similar tools such as Tableau or Qlik for data visualisation and reporting.
• Strong programming skills in Python / PySpark / SQL.
• Proven commitment and compliance to good engineering/DevOps practices, including reusable code, CI/CD pipelines, and automated testing.
• Proven ability to work collaboratively within cross-functional teams, managing timelines, and coordinating with stakeholders

This is an excellent opportunity to work with contemporary thinkers in a progressive membership organisation. The successful candidate will join a strong brand with a reputation for excellence and legal expertise, committed to promoting equality, diversity and inclusion, and a culture of trust, clarity, excellence and respect.

We offer hybrid working, a generous flexible benefits package, a friendly working environment and the opportunity to develop your career within a professional organisation.

Please note: if you are an internal applicant, Pay Policy will apply.

The Law Society represents solicitors in England and Wales. From negotiating with and lobbying the profession's regulators, government and other decision makers, to offering training and advice, we're here to help, protect and promote solicitors.