At a Glance
- Tasks: Design and build cloud-based data pipelines using AWS tools.
- Company: Capco is a leading consulting firm focused on financial services transformation.
- Benefits: Enjoy flexible holidays, mental health support, and continuous learning opportunities.
- Other info: Inclusive culture welcoming applicants from all backgrounds.
- Why this job: Join a collaborative team shaping the future of digital financial services.
- Qualifications: Strong AWS experience and proficiency in Python, Scala, or Java required.
The predicted salary is between 43200 - 72000 £ per year.
Overview
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
- 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).
- Proficiency in AWS cloud environments.
- 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
Benefits
- 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 and a Business Coach from Day One.
- Extra Perks: Gympass, 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. #LI-DNI
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Senior Data Engineer - AWS 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 in London
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We think you need these skills to ace Senior Data Engineer - AWS in London
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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Capco. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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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.
