Data Engineer

📋 Description Design, build, and operate reliable data pipelines using modern ETL/ELT Engineer cloud-native data platforms on AWS; Azure exposure where needed Use Databricks, PostgreSQL, Aurora, and distributed processing tools Ensure production-ready: secure, tested, observable, and cost-efficient Optimize data performance, reliability, and quality in production Collaborate with analysts, data scientists, AI engineers, and platform teams 🎯 Requirements 6-8 years of hands-on data engineering experience Strong Databricks experience (Data Engineering, Delta Lake, Medallion Architecture) Design, build and support scalable data pipelines from enterprise source systems Build and maintain data models, mapping tables, and curated data products in ISP platform Implement MDM, data quality controls, monitoring, and remediation workflows Develop automated data quality reporting, including AI-assisted reporting capabilities 🎁 Benefits Quarterly profit share scheme linked to company performance Flexible/remote working for work-life balance Pension, private healthcare, life insurance, financial advice Educational assistance and certifications AWS, Microsoft, Oracle, Red Hat Generous holiday allowance and enhanced parental leave Employee wellbeing programs: gym discounts, mindfulness, EAP