AWS Data Engineer

Jgasurveyors; City of London; Hybrid; GBP 75,000 - 90,000; Full time

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

Data engineering experience

ETL processes

Python

SQL

AWS

Data modelling

Data warehousing

Collaboration skills

Problem-solving mindset

Tools

Airflow

dbt

Git

Job description

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.

What You'll Be Doing

• 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

Experience Required

• 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

Bonus Points For

• 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.

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Information Technology
• Data Infrastructure and Analytics

McGregor Boyall is an equal opportunity employer and does not discriminate on any grounds.