At a Glance
- Tasks: Design and build cloud-based data pipelines for financial transformation.
- Company: Join Capco, a leader in digital financial services innovation.
- Benefits: Enjoy competitive pay, flexible holidays, and continuous learning opportunities.
- Other info: Mentorship opportunities and a supportive, inclusive work environment.
- Why this job: Make a real impact on the future of finance with cutting-edge technology.
- Qualifications: Proficiency in Python, Scala, or Java; experience with Big Data technologies.
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.
- 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.
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.
- 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:
- Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
- Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.
- 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.
- 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.
Senior Data Engineer - AWS, DevOps in London employer: Capco
Capco is an excellent employer for those looking to make a significant impact in the banking sector, particularly in London where innovation meets tradition. With a strong focus on employee growth through professional training and a supportive work culture that values collaboration and stakeholder engagement, Capco ensures that its team members are well-equipped to lead transformative projects. The hybrid working model further enhances work-life balance, making it an attractive place for professionals seeking meaningful and rewarding employment.
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We think this is how you could land Senior Data Engineer - AWS, DevOps in London
✨Get Involved in Data Science Meetups
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Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Capco
✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
