Role Overview

We are looking for a Data Engineer to design, build, and maintain our data infrastructure and pipelines. You will work closely with the Product and Engineering teams to ensure data is accessible, reliable, and optimised for analytics and business intelligence. Additionally, you will partner with the leadership team to identify business opportunities through data-driven insights.

Responsibilities

Design and implement scalable data pipelines and ETL processes
Build and maintain data warehouses and data lakes
Optimise data storage and retrieval for performance and cost-efficiency
Collaborate with Product and Engineering teams to understand data requirements
Partner with leadership to uncover business opportunities through data analysis and insights
Ensure data quality, integrity, and security across all systems
Monitor and troubleshoot data pipeline issues
Manage and improve data dependencies across systems and workflows
Develop and maintain documentation for data architecture and processes

Requirements

Strong experience with SQL and database technologies (PostgreSQL, MySQL, SQL Server, etc.)
Knowledge of on-premises database management and optimisation
Familiarity with C# and .NET Core backend development
Experience with SQL Server and IIS hosting environments
Proficiency in Python
Experience with cloud platforms like Azure
Knowledge of data pipeline tools
Experience with version control (Git) and CI/CD practices
Knowledge of containerisation and orchestration (Docker, Kubernetes)
Familiarity with data visualisation tools (Tableau, Power BI, Metabase)
Understanding of machine learning workflows and MLOps
Experience building AI tools and data query solutions for business stakeholders
Strong problem-solving and analytical thinking
Excellent communication and collaboration skills
Ability to work independently and manage priorities
Attention to detail and commitment to data quality