Data Engineer II

• Design, build, and maintain scalable data pipelines across ingestion, transformation, orchestration, monitoring, and quality assurance
• Develop and optimise data solutions, including database schemas and SQL performance tuning to ensure reliable, accessible data for analytics and downstream systems
• Integrate data solutions into production environments, collaborating with software engineers and supporting delivery for new and existing clients
• Write clean, maintainable code and documentation, covering SQL, Python, PowerShell, models, pipelines, and platform architecture
• Support production operations, providing 3rd‑line incident investigation/resolution and contributing to code reviews and engineering best practices

• Proven experience in data or analytics engineering, with strong foundations in data warehousing, ETL/ELT, and large‑scale analytics environments
• Hands‑on expertise with SQL‑based databases (MS SQL Server, Azure SQL, Postgres) and cloud platforms such as Azure and Snowflake
• Strong SQL skills plus working knowledge of Python, PowerShell, and integrating data via APIs
• Familiarity with agile delivery, GitHub, Atlassian tooling, and production troubleshooting/incident resolution

Experience with Databricks

• Hybrid & Flexible Working: Work from anywhere benefits, plus summer hours and extra days off for life’s big moments (including your birthday and wedding)
• Generous Time Off: 26 days PTO (increasing with service), paid volunteer days, and full support for your wellbeing, including mental health resources
• Career & Learning: Access to a top-tier learning platform, career progression plans, and support to create your ideal home workspace
• Health & Financial Benefits: Comprehensive medical, dental, and vision coverage, plus a 6% matched retirement plan
• Personal Perks: Annual phone reimbursement, onsite gym access, and customizable benefits via our online platform