Data Engineer

📋 Description

• Designing and implementing scalable data architectures and systems
• Developing and maintaining ETL (Extract, Transform, Load) pipelines.
• Managing data storage, backup, and recovery mechanisms
• Writing SQL queries to extract data for analysis.
• Developing and implementing data security and privacy
• Interfacing with clients and end users to receive guidance on projects and deliverables.

🎯 Requirements

• Proficient in writing clean, efficient, and maintainable SQL and Python code, particularly for data
• Understanding of data modelling concepts and be able to design data models that are optimised for
• Familiarity with SQL and experience (2+ year) working with and designing relational databases.
• Experience (1+ year) implementing data pipelines that run on Kafka or equivalent distributed event
• Ability to debug and optimize failing or slow data pipelines and queries.
• Systems integration experience (1+ years): networking, data migrations, API integration and design.

🎁 Benefits

• Generous group bonus scheme
• Hybrid working
• Private medical insurance
• Pension Scheme - matched to 6%
• Ability to buy and sell holiday
• Free subscription to wellbeing app Unmind