Data Engineer

Data Engineer

Location: London- hybrid 50%

Contract: Permanent

Hours: Full time- 35 hours

Purpose

The Data Engineer plays a key role in delivering reliable, high-quality data for business operations, insights, regulatory reporting, and partner reporting. This role focuses on designing, building, and automating data pipelines and solutions using modern cloud technologies and leveraging AI-driven capabilities to enable secure, scalable access to data across the organization.

About Just

We help people achieve a better later life. That’s our purpose and it’s the reason we exist. We are a fast-growing company helping customers enjoy the retirement they deserve. We do this through a variety of market leading, award-winning products and services, delivered by a diverse team of over 1,400 purpose-led colleagues who genuinely put the customer at the heart of everything we do.

This is a brilliant time to join our business. We are on an exciting growth journey to become the UK’s most loved retirement expert.

Key Accountabilities

• Design & Build Data Pipelines – Develop and maintain robust ETL/ELT workflows and integration solutions aligned with enterprise architecture and data strategy.
• Collaborate on Requirements – Work with business and technical teams to translate requirements into scalable data engineering solutions.
• Ensure Data Quality & Governance – Implement best practices for data health, metadata management, and compliance using tools like Microsoft Purview.
• Optimize & Innovate – Continuously improve performance, adopt new technologies, and recommend enhancements for efficiency and scalability.
• Document & Support – Maintain clear technical documentation and provide operational support, including troubleshooting and incident resolution.
• Security & Compliance – Ensure adherence to security standards and regulatory requirements (e.g., GDPR, ISO 27001).

Examples of Key Activities

• Build & Deploy Pipelines – Design, develop, and test ETL/ELT workflows using Azure Data Factory and Databricks for efficient data ingestion and transformation.
• Data Transformation – Apply PySpark or SQL-based transformations to curate data layers (Bronze, Silver, Gold) following Medallion Architecture.

What we're looking for

• Proven experience in a data analytics or engineering role, preferably within Financial Services
• Strong experience with Microsoft Azure services, including Data Factory, Databricks, Data Lake Storage Gen2, and Azure SQL Database
• Proven ability to design and implement ETL/ELT pipelines, data ingestion, and transformation across multiple sources
• Proficiency in Python, SQL, and PySpark for data processing and automation
• Hands-on experience with Spark and Delta Lake for scalable data processing and performance optimization
• Knowledge of Lakehouse architecture, metadata management, and compliance standards (e.g., GDPR)

What’s in it for you

• A competitive salary, pension scheme and life assurance
• 25 days annual leave plus an additional day on us for your birthday
• Private medical cover and income protection, just in case
• A generous and highly achievable bonus scheme
• Opportunities to progress your career in-role and within the company
• Free access to the Headspace app, 24/7 employee assistance helpline and trained physical and mental health first aiders
• A variety of employee funded benefits available via our online benefits portal
• Plus, several additional purchase options available for you and your loved ones

Explore our full range of benefits on our dedicated benefits page.

Be Bold. Be Brilliant. Be Just