AWS Data Engineer
other jobs McGregor Boyall
Added before 3 Days
- England,London,City of London
- Full Time, Permanent
- £75,000 - £90,000 per annum
Job Description:
AWS Data Engineer | £75,000 - £90,000 | Central London (Hybrid - 3 days on-site)
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.
You’ll design, build, and optimise scalable data pipelines and warehouse solutions while collaborating across teams to ensure reliable, secure, and efficient data infrastructure for the organisation.
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.
McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
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.
You’ll design, build, and optimise scalable data pipelines and warehouse solutions while collaborating across teams to ensure reliable, secure, and efficient data infrastructure for the organisation.
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.
McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
Job number 3132088
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Company Details:
McGregor Boyall
Company size: 100–249 employees
Industry: Recruitment Consultancy
Established in 1987, McGregor Boyall is a global recruitment consultancy providing permanent and contract / interim professionals across a wide variet...