Data Engineer

Title: Azure Data Engineer

Location: Manchester City Centre (3 days a week onsite)

Salary: £50,000 - £65,000 DOE

The Role

As a Data Engineer, you will play a pivotal role in designing, implementing, and maintaining the data infrastructure. Leading a small team, you will work closely with business stakeholders to ensure the availability, reliability and performance of data pipelines, enabling data-driven decision-making across the organisation.

The Benefits

We offer an attractive benefits package, that employees value, no matter what stage of their career they are in. Current benefits include:

• Annual discretionary bonus scheme
• 25 days holiday plus bank holidays
• Company contributory pension scheme
• Hybrid working
• Life assurance
• Cash-back healthcare scheme
• Enhance family friendly polices
• Employee Assistance Programme
• Subsidised gym membership
• Cycle to Work scheme
• Staff referral scheme

The Firm

The firm has around 100 employees across offices in London, Liverpool, Birmingham, and Manchester, representing over 200,000 individual clients across a range of cases in areas such as product liability, competition, worker rights, data breach and privacy and financial services.

The firm’s ethos is to combine the best legal talent with a strong operational and technological platform to enable its clients to pursue cases that could not otherwise be brought against large corporates as a result of their wrongdoing.

Role Responsibilities

As a Data Engineer, your role will include, but is not limited to:

• Design, develop, and maintain scalable data pipelines using Python, Azure Data Factory, and other relevant tools.
• Collaborate with business stakeholders to understand data requirements and integrate diverse data sources into a unified data lake or warehouse. Perform data cleansing, transformation, and enrichment to ensure data quality and consistency.
• Monitor and optimise data pipelines for performance, scalability, and cost-effectiveness
• Implement and maintain data security and compliance measures to protect sensitive information.
• Create and maintain clear documentation for data pipelines, data schemas, and processes.
• Diagnose and resolve data-related issues promptly, ensuring minimal downtime.
• Implement automation scripts and workflows to streamline data engineering processes.
• Liaise with third parties, providing relevant data to support project delivery, system maintenance and change programmes.
• Lead the data team to deliver against their objectives and key performance indicators, including scheduling of work and maintaining high quality performance.
• Create and maintain relevant KPI reports to monitor and track the data team’s progress against data requirements and delivery.

Person Specification

• BSc in Computer Science, Information Technology or a related field
• Previous experience in data engineering or similar role
• People management experience with proven track record of successfully leading a small team.
• Strong proficiency in Python programming for data manipulation and transformation
• Knowledge of data modelling and database design principles
• Familiarity with ETL (Extract, Transform, Load) processes and tools
• Strong problem-solving and troubleshooting skills
• Excellent communication and teamwork abilities
• Attention to detail and a commitment to data quality

Nice to Have Skills:

• Certification in Azure Data Engineering or a related field
• Familiarity with data warehousing concepts and platforms
• Experience with data visualization tools (e.g., Power BI, Tableau)
• Experience with Azure cloud services, including Azure Data Factory, Azure Data Lake Storage, Azure Databricks, and Azure SQL Database

Our Values

They pride ourselves on being a values-led law firm. This means:

• We do what we say we will do (both individually and collectively).
• We are transparent and honest.
• We always put our clients first.
• We treat everyone with respect.
• We are professional.
• We listen to feedback and strive for continual improvement.