Data Engineer

Overview

In this Data Engineer role you will build and maintain scalable data infrastructure that enables data-driven decision making and operational efficiency. You will shape high-performance data systems foundational to Angstrom’s growth, focusing on secure, reliable pipelines for the US market. You will collaborate with clients and cross-functional teams to translate data into actionable insights and robust data services. This is an opportunity to contribute to advanced pricing and risk capabilities in a fast-paced, supportive environment. You will drive impact by delivering clean, well-documented data solutions that scale.

Pay / Benefits

• Generous group bonus scheme
• Hybrid working
• Private medical insurance
• Pension Scheme – matched to 6%
• Holiday buy/sell
• Wellbeing app Unmind

Responsibilities

• Designing and implementing scalable data architectures and systems
• Developing and maintaining ETL 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

Key requirements

• Proficient in SQL and Python for data transformation and analytics use cases
• Understanding of data modelling and designing optimized data models
• 2+ years with relational databases
• 1+ year implementing data pipelines on Kafka or equivalent
• Ability to debug and optimize failing or slow data pipelines and queries
• 1+ year systems integration: networking, data migrations, API integration
• Enthusiasm for clean systems, documentation, logging, reproducibility
• 2+ years working with AWS S3, Athena, ECS, CloudFormation, Lambdas & CloudWatch
• Excellent presentation, documentation, time management, communication, collaboration
• Strong problem-solving and analytical skills

• presentation and communication
• time management
• collaboration and autonomy
• SQL
• Python
• data modelling

…