Senior Data Engineer - AWS

CAPCO

London, England

9 months ago

Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Ageas Insurance Limited Reigate, RH2 0AA, United Kingdom

£70,000 – £85,000 pa Hybrid

Senior Data Engineer

Synthesia London, United Kingdom

Hybrid

Senior Data Engineer - Microsoft Fabric

Harvey Nash London, United Kingdom

£80,000 – £90,000 pa Hybrid

Senior Data Platform Engineer

ITSS Recruitment London, United Kingdom

£70,000 – £100,000 pa Remote

Senior Data & Machine Learning Engineer

Forward Role Warrington, United Kingdom

£55,000 – £65,000 pa Hybrid

Senior Simulation Data Engineer

PhysicsX London, United Kingdom

Posted: 8 Aug 2025 (9 months ago)

Save job

Create job alert

Applications closed

Senior Data Engineer - AWS
Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent

Engineer future-ready data platforms that power financial transformation.

The Role
We're looking for a Senior Data Engineer with AWS to join our growing team of engineering experts driving next-gen transformation for Tier 1 financial services clients. You'll play a pivotal role in designing, building, and deploying cloud-based data pipelines. Working across greenfield projects and enterprise-scale platforms, your work will directly impact the way data is ingested, transformed, and served at scale across the financial services industry.

What You'll Do

Design and build end-to-end data pipelines leveraging AWS-native tools and modern data architectures.
Collaborate with clients to gather requirements, define solutions, and deliver production-grade systems.
Apply AWS Well-Architected Principles to ensure scalability, security, and resilience.
Lead in the development of robust, tested, and fault-tolerant data engineering solutions.
Support and mentor junior engineers, contributing to knowledge sharing across the team.

What We're Looking For

Strong hands-on experience across AWS Glue, Lambda, Step Functions, RDS, Redshift, and Boto3.
Proficient in one of Python, Scala or Java, with strong experience in Big Data technologies such as: Spark, Hadoop etc.
Practical knowledge of building real-time event streaming pipelines (e.g., Kafka, Spark Streaming, Kinesis).
Proven experience developing modern data architectures including Data Lakehouse and Data Warehousing.
A solid understanding of CI/CD practices, DevOps tooling, and data governance including GDPR.

Bonus Points For

Expertise in Data Modelling, schema design, and handling both structured and semi-structured data.
Familiarity with distributed systems such as Hadoop, Spark, HDFS, Hive, Databricks.
Exposure to AWS Lake Formation and automation of ingestion and transformation layers.
Background in delivering solutions for highly regulated industries.
Passion for mentoring and enabling data engineering best practices across teams.

Why Join Capco

Deliver high-impact technology solutions for Tier 1 financial institutions
Work in a collaborative, flat, and entrepreneurial consulting culture
Access continuous learning, training, and industry certifications
Be part of a team shaping the future of digital financial services
Help shape the future of digital transformation across FS & Energy

We offer a competitive, people-first benefits package designed to support every aspect of your life:

Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.
Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.
Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.
Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.
Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick-workshops, certifications, e-learning-your growth, your way. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development.
Healthcare Access: Convenient online GP services.
Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.

Inclusion at Capco
We're committed to a barrier-free, inclusive recruitment process. If you need any adjustments at any stage, just let us know - we'll be happy to help. We welcome applicants from all backgrounds. At Capco, we value the difference you make, and the differences that make you. Our #BeYourselfAtWork culture champions diversity, equity and inclusivity, and we bring a collaborative mindset to our partnerships with clients and colleagues. #BeYourselfAtWork is the cornerstone of our success and a value that our employees live and breathe every day.
#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Apr 9, 2026

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Mar 24, 2026

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Feb 11, 2026

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.