Data Engineer

About Linklaters

Linklaters is a global law firm, with 31 offices in 21 countries worldwide.

Linklaters is a people business. Being best in class in the eyes of our clients means that our people must be exceptional.

We look not only for brilliant minds, but for people who will thrive in our environment: people who love working collaboratively and demonstrate the innovative, efficient, agile, entrepreneurial, and responsible mind-set we aim to bring to every interaction.

Ours is an environment of outperformance. We achieve this not with targets and incentives, but by fostering a positive, supportive, fair, and open atmosphere.

We respect and value difference but insist on inclusivity. We celebrate all aspects of diversity and challenge any form of bias. This is vital to our ability to work as one team, with a common goal.

The Role

Manages the development and scaling of data pipelines, data architecture, and Extract, Transform, Load (ETL) processes to enhance data quality and operational efficiency. Manages data security and system performance, and implements integration solutions for seamless data flow and accessibility.

• Design, build, and maintain end-to-end data pipelines and solutions using Microsoft Fabric (including Data Engineering, Data Factory, Synapse, and Power BI).
• Develop, automate, and manage cloud infrastructure using Infrastructure as Code (e.g., Azure Bicep, ARM templates, Terraform).
• Collaborate with cross-functional teams—including data architects, business analysts, and DevOps engineers—to deliver robust, scalable data solutions.
• Apply best practices for source control, CI/CD (Continuous Integration/Continuous Deployment), and automated infrastructure provisioning.
• Facilitates the design, coding, unit testing, and deployment of data processes for extraction, ingestion, and transformation of data.
• Develop and manage distributed data processing workloads using Apache Spark within Microsoft Fabric and Azure ecosystems.
• Manages the automation and monitoring of frameworks that capture metrics for data pipeline quality and performance.
• Optimises system performance and drives continuous improvement in data processing and cloud infrastructure.
• Manages the adoption of best practices for data security and privacy, ensuring compliance with all internal and external compliance requirements.
• Manages data quality, including cleansing and scrubbing of data, as well as validation automation.

About You

• 5+ years experience managing data security and system performance at a global professional services firm, preferably in the legal sector. 
• Experience in scaling data pipelines, data architecture, and Extract, Transform, Load (ETL) processes.
• Strong knowledge of Infrastructure as Code—using tools such as Azure Bicep, Azure Resource Manager (ARM), Terraform, or similar.
• Demonstrable knowledge of data modelling, ETL/ELT processes, and orchestrating complex data flows.
• Practical experience with containerization technologies, including Docker and Kubernetes

Our Benefits

Joining Team Linklaters will see you qualify for a range of benefits designed to reward the vital contribution you'll be making to our success. These include:

Health & Wellbeing

• Private Medical Insurance
• Free in-house fitness centre and subsidised health club memberships
• Free onsite GP service and periodic health assessments

Finance

• Pension and flexible savings options
• Income protection and life assurance
• Mortgage advice and will-writing services

Family & Lifestyle

• Electric car and cycle to work schemes
• Emergency family care
• Additional holiday/birthday leave
• Maternity/paternity/shared parental leave
• Travel insurance and season ticket loan
• Option to join sports and social clubs, as well as our employee networks groups (such as our Gender Equality Network, With Pride, or Social Mobility Networks)

If you think this role would suit you, please click apply below. We look forward to hearing from you!

Technical Skills

This list of duties and responsibilities above is not exhaustive.  It is intended to describe the general content of, and requirements for, the performance of this job. As such, the role may also include the undertaking of additional tasks as required.