Asks for

The ad says“Practical experience building real-time event streaming pipelines using technologies such as Kafka, Spark Streaming, or Amazon Kinesis within AWS environments.”
The ad says“Strong proficiency in Python, Scala, or Java with hands-on experience in Big Data technologies including Spark, Hadoop, or similar distributed processing frameworks.”
The ad says“Proven expertise designing modern Data Lakehouse and Data Warehousing architectures, alongside a solid understanding of CI/CD, DevOps practices, and GDPR-compliant data governance.”
The ad says“Proven expertise designing modern Data Lakehouse and Data Warehousing architectures, alongside a solid understanding of CI/CD, DevOps practices, and GDPR-compliant data governance.”
The ad says“Proven expertise designing modern Data Lakehouse and Data Warehousing architectures, alongside a solid understanding of CI/CD, DevOps practices, and GDPR-compliant data governance.”
The ad says“Proven expertise designing modern Data Lakehouse and Data Warehousing architectures, alongside a solid understanding of CI/CD, DevOps practices, and GDPR-compliant data governance.”
The ad says“Practical experience building real-time event streaming pipelines using technologies such as Kafka, Spark Streaming, or Amazon Kinesis within AWS environments.”
The ad says“Proven expertise designing modern Data Lakehouse and Data Warehousing architectures, alongside a solid understanding of CI/CD, DevOps practices, and GDPR-compliant data governance.”
The ad says“Strong proficiency in Python, Scala, or Java with hands-on experience in Big Data technologies including Spark, Hadoop, or similar distributed processing frameworks.”
The ad says“Strong proficiency in Python, Scala, or Java with hands-on experience in Big Data technologies including Spark, Hadoop, or similar distributed processing frameworks.”
The ad says“Practical experience building real-time event streaming pipelines using technologies such as Kafka, Spark Streaming, or Amazon Kinesis within AWS environments.”
The ad says“Strong proficiency in Python, Scala, or Java with hands-on experience in Big Data technologies including Spark, Hadoop, or similar distributed processing frameworks.”
The ad says“Strong proficiency in Python, Scala, or Java with hands-on experience in Big Data technologies including Spark, Hadoop, or similar distributed processing frameworks.”
The ad says“Strong proficiency in Python, Scala, or Java with hands-on experience in Big Data technologies including Spark, Hadoop, or similar distributed processing frameworks.”
The ad says“Practical experience building real-time event streaming pipelines using technologies such as Kafka, Spark Streaming, or Amazon Kinesis within AWS environments.”

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-generation 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 how data is ingested, transformed, and served at scale across the financial services industry. You'll also embrace AI-enabled ways of working, using approved AI and automation tools where appropriate to improve engineering productivity, accelerate delivery, and enhance solution quality while applying sound engineering judgement and responsible AI practices.

What You’ll Do

Design and build end-to-end data pipelines leveraging AWS-native services and modern data architectures.
Collaborate with clients to gather requirements, define technical solutions, and deliver production-grade systems that meet business needs.
Apply AWS Well-Architected Principles, CI/CD practices, and AI-enabled engineering approaches to deliver scalable, secure, resilient, and high-quality solutions.
Develop robust, tested, and fault-tolerant data engineering solutions while promoting engineering best practices and data governance.
Mentor junior engineers, contribute to knowledge sharing, and encourage the responsible use of approved AI tools and automation to improve collaboration and delivery.

What We’re Looking For

Strong proficiency in Python, Scala, or Java with hands-on experience in Big Data technologies including Spark, Hadoop, or similar distributed processing frameworks.
Practical experience building real-time event streaming pipelines using technologies such as Kafka, Spark Streaming, or Amazon Kinesis within AWS environments.
Proven expertise designing modern Data Lakehouse and Data Warehousing architectures, alongside a solid understanding of CI/CD, DevOps practices, and GDPR-compliant data governance.
Experience delivering scalable cloud-based data solutions and using AI-enabled tools responsibly to improve engineering efficiency while maintaining appropriate human oversight and quality assurance.
Strong communication and collaboration skills, with the ability to work effectively across multidisciplinary teams and client environments.

Bonus Points For

Expertise in data modelling, schema design, and working with structured and semi-structured datasets.
Experience with distributed technologies including Hadoop, Spark, HDFS, Hive, Databricks, or AWS Lake Formation.
Knowledge of automating cloud-based ingestion and transformation frameworks.
Experience delivering data engineering solutions within highly regulated industries such as financial services.
Passion for mentoring others, promoting engineering best practices, and exploring responsible AI and automation to continually improve delivery.

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.

Benefits

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: Eight complimentary backup care sessions for emergency childcare or elder care.
Holiday Flexibility: Five weeks of annual leave with the option to buy or sell holiday days based on your needs.
Continuous Learning: Your growth, your way—minimum 40 hours of training annually through workshops, certifications, and e-learning. You'll also be assigned a Business Coach from day one to support your development and career progression.
Healthcare Access: Convenient online GP services.
Extra Perks: Wellhub (Gympass), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know—we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration—a mindset that shapes how we work with clients and each other every day.

#LI-DNI