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AWS Data Engineer
Job summary
A fintech organization in Central London is seeking an AWS Data Engineer to join their innovative team. This full-time role offers a competitive salary range of £75,000 - £90,000 and is designed for a mid-senior level professional. Responsibilities include designing scalable data architectures and optimizing data pipelines. The ideal candidate has strong experience in data engineering, Python, SQL, and AWS, with a proactive problem-solving mindset. Join a culture that values innovation and collaboration.
Qualifications
- Proven experience in data engineering and building scalable data solutions.
- Strong experience with ETL processes, data modelling, and data warehousing.
- Expertise in relational (SQL) and NoSQL database technologies.
Responsibilities
- Design, develop, and maintain scalable data architectures and ETL pipelines.
- Build and manage data models and data warehouse solutions.
- Collaborate with data scientists, analysts, and engineering teams.
Skills
Tools
AWS Data Engineer at John Goddard Associates
Location: Central London (Hybrid – 3 days on‑site)
Salary: £75,000 - £90,000
We're proud to partner with a high‑growth fintech on the lookout for an AWS Data Engineer to join their fast‑paced, data‑driven organisation. This role is a great opportunity for someone who's eager to make an impact and get hands‑on with modern tools.
- Design, develop, and maintain scalable data architectures and ETL pipelines
- Build and manage data models and data warehouse solutions (Airflow, dbt, and Redshift)
- Write clean, efficient Python and SQL code for data processing and transformation
- Integrate data from internal and third‑party APIs and services
- Optimise data pipelines for performance, scalability, and reliability
- Collaborate with data scientists, analysts, and engineering teams to support business needs
- Implement and uphold data security and compliance standards
- Use version control systems (e.g. Git) to manage and maintain project codebases
- Contribute to the continuous improvement of data processes and tooling across the organisation
- Proven experience in data engineering and building scalable data solutions
- Strong experience with ETL processes, data modelling, and data warehousing
- Proficiency in Python and SQL
- Expertise in relational (SQL) and NoSQL database technologies
- Hands‑on experience with AWS
- Solid understanding of data security, privacy, and compliance principles
- Ability to optimise data pipelines for performance and maintainability
- Strong collaboration skills and a proactive, problem‑solving mindset
- Experience with Airflow and/or dbt
- Experience working in Agile environments (Scrum/Kanban)
- Exposure to DevOps practices or CI/CD pipelines
You'll join a business that values innovation, collaboration, and continuous learning, with a culture that champions autonomy and impact.
- Mid‑Senior level
- Full‑time
- Information Technology
- Data Infrastructure and Analytics
McGregor Boyall is an equal opportunity employer and does not discriminate on any grounds.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.