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