Data Engineer

Quick Facts

• Role: Data Engineer (full-time or part-time, fixed term 12 months)
• Domain: Data platform supporting analytics, trading, and AI
• Team: Agile, collaborative environment with hands-on learning and knowledge sharing

Description

You will design, build, and maintain scalable data pipelines integrating diverse sources into a governed data platform. The role also drives enterprise-wide data harmonization (quality, metadata, and standards) and delivers a low-code/no-code self-service data onboarding approach. You’ll embed automated testing, monitoring, lineage, and governance to ensure data is reliable, traceable, and secure.

Responsibilities

• Design, build, and maintain scalable data pipelines integrating diverse data sources into the data platform.
• Partner with business stakeholders to improve data quality, metadata consistency, and data standards across the data estate.
• Architect and deliver a low-code/no-code self-service data onboarding platform for scalable, user-friendly integration.
• Develop reusable data models and transformations that produce consistent, trusted datasets for analytics, trading, and AI.
• Embed automated testing, monitoring, lineage, and governance into pipelines to improve reliability and security.
• Collaborate with engineers, architects, and business teams to deliver production-ready solutions and improve performance and cost efficiency.

Requirements

• Strong data engineering experience using Python and SQL to build pipelines and transformations.
• Hands-on experience with Databricks, Apache Spark, and AWS data services such as S3.
• Experience integrating diverse data sources through APIs, batch processing, or streaming.
• Sound understanding of data modeling, data quality, metadata management, and governance.
• Experience building reusable integration frameworks or self-service data solutions, ideally using low-code/no-code approaches.
• Clear communication and stakeholder collaboration skills, supported by experience with version control, CI/CD, and automated testing.

Benefits

• Competitive salary and annual discretionary bonus
• Open, inclusive, and diverse culture
• Hands-on learning, knowledge sharing, and development with internal specialists
• Support for flexible working arrangements and other adjustments