Data Engineer

The Data Engineer role is a new position created to reflect the rapid growth of the business.

We are looking for a skilled AWS Data Engineer to take ownership of our existing cloud-based data infrastructure and evolve it into a best-practice, scalable, and business-critical platform. You will be responsible for refining and expanding our AWS-based data ecosystem, ensuring it supports the organisation’s growing analytical and reporting needs across Development, Finance, Operations, and beyond.

This is a hands-on role where you will define technical direction, embed best practices, and drive data quality, efficiency, and cost optimisation across the platform.

• Strong hands-on experience with AWS data services (e.g., S3, Glue, Lambda, Athena, Redshift, Dynamo
  
  DB).
• Strong hands-on experience with data visualisation tools such as Quick Sight
• Proficiency in Python for data processing, API integration, and automation.
• Strong SQL skills for data extraction and transformation.
• Experience working with REST APIs and JSON data structures.
• Practical experience with Git Lab (version control, branching, and CI/CD pipelines).
• Solid understanding of data pipeline design and ETL best practices.
• Experience with infrastructure as code (e.g., Terraform or Cloud Formation).
• Advantageous to have: o Knowledge of Sales Force and/or Sage Intacct data flow
• Identify and implement improvements to our current data infrastructure, be it cost optimisation or adherence to best practice.
• Collaborate with business stakeholders – including Development, Finance, and Product teams – to identify new data opportunities and translate requirements into practical solutions.
• Design, build, and maintain data ingestion, transformation pipelines and visualisations using AWS services (e.g., S3, Glue, Lambda, Athena, Redshift, Step Functions, Quick Sight).
• Develop Python scripts and ETL processes for data processing and automation.
• Integrate data from various APIs and third-party sources into cloud-based data systems.
• Write and optimise SQL queries for data extraction, transformation, and validation.
• Use Git Lab for version control, CI/CD, and collaborative development.
• Implement best practices for data quality, scalability, and security.
• Monitor and control data platform costs.

• 25 days holiday, rising to 28 days per annum with length of service
• Medical, dental and optical insurance cover
• An exciting and flexible working environment surrounded by friendly and committed co-workers
• UK:
  Electric Vehicle Scheme
• “Work from anywhere” 2 weeks per year policy
• Training and development opportunities
• Access to an employee assistance programme and wellbeing support hub
• Team events
• Ad-hoc incentives and competitions

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