AWS Data Engineering Manager

What you’ll be doing

– your accountabilities
Team Leadership & Coaching: Lead and mentor a team of data engineers, guiding them through complex, open-ended projects and fostering a high-performance, collaborative culture.
Technical Direction & Strategy: Shape the technical vision of the data engineering function, contributing deep expertise across big data, systems design, machine learning, and cloud infrastructure.
Data Infrastructure & Optimisation: Oversee the development and maintenance of accurate, high-quality datasets and optimised codebases that support data products, pipelines, and scalable architectures.
Agile Delivery & Best Practices: Ensure teams follow Agile methodologies and engineering best practices to consistently deliver high-quality, production-ready solutions.
Data Quality & Visibility: Coordinate the use of internal and external data sources to define and monitor key indicators of data quality, pipeline health, and infrastructure performance.
Resource Management: Allocate engineering resources effectively to address priority issues, ensuring timely responses and measurable outcomes.
Solution Design & Delivery : Translate business objectives into scalable, end-to-end data solutions that meet customer needs and align with strategic timelines.
Vendor & Partner Collaboration: Manage relationships with outsourced partners and suppliers, setting clear expectations around deliverables, quality, timelines, and cost.
Innovation & Knowledge Sharing: Champion emerging trends in data engineering, continuously developing and sharing knowledge to drive innovation and technical excellence.
Talent Development: Coach and develop team members through upskilling, performance management, and recruitment to build future-ready capabilities.
Process Improvement : Lead initiatives to enhance data engineering workflows, tools, and practices for greater efficiency and impact.

The skills you’ll need to succeed

Advanced knowledge of AWS data services (e.g. S3, Glue, EMR, Lambda, Redshift)
Expertise in big data technologies and distributed systems
Strong coding and optimisation skills (e.g. Python, Spark, SQL)
Data quality management and observability
Strategic thinking and solution architecture
Stakeholder and vendor management
Continuous improvement and innovation mindset
Excellent communication and mentoring abilities

Experience you’d be expected to have

Track record of delivering scalable data solutions aligned with business goals
Hands-on experience with modern data platforms, pipelines, and governance frameworks
Familiarity with machine learning workflows and data science enablement
Experience working with cross-functional teams and external partners

A FEW POINTS TO NOTE:

Although these roles are listed as full-time, if you’re a job share partnership, work reduced hours, or any other way of working flexibly, please still get in touch.

We will also offer reasonable adjustments for the selection process if required, so please do not hesitate to inform us.

DON'T MEET EVERY SINGLE REQUIREMENT?

Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team.