Senior Data Engineer

You'll play a key role in designing, building, and optimising data pipelines and platforms that support analytics and business decision-making. Working closely with data analysts and cross-functional teams, you'll ensure data is accurate, timely, and accessible., * Design, build, and maintain scalable ELT pipelines and transformation processes

• Mix of architecture, design, build, and execution, must be hands-on and able to wear multiple hats.
• Optimise data warehouse performance, including partitioning, clustering, and query tuning
• Implement data quality frameworks, monitoring, and governance standards
• Build API integrations, webhooks, and automate data workflows
• Support BI tools and analytics teams with reliable, well-modelled data
• Maintain documentation, contribute to architectural decisions, and drive best practices

• Strong SQL skills and experience with modern cloud data warehouses (Snowflake preferred)
• ELT pipeline development and modern data stack understanding
• Solid software engineering practices (Git, testing, CI/CD)
• Own pipeline health, monitoring, and optimisations.
• API integration experience (REST APIs, webhooks, JSON, CSV, etc.)
• Strong understanding of data governance, lineage, and access control
• Experience with AWS, Azure, or GCP
• Ability to work autonomously and make strong technical decisions

Desirable Skills:

• dbt
• Python
• PostgreSQL or similar relational databases
• BI tools (QuickSight, Tableau, etc.)
• Reverse ETL, ML pipeline support, agile environment experience

About You:

You're a technically strong data engineer who enjoys both hands-on implementation and the broader architectural picture. You take ownership, collaborate effectively, and build scalable, maintainable data systems. You're proactive, communicative, and passionate about enabling data-driven decision making.