At a Glance
- Tasks: Design and build cloud-based data pipelines for financial transformation.
- Company: Join Capco, a leader in tech solutions for Tier 1 financial institutions.
- Benefits: Enjoy competitive pay, flexible holidays, and continuous learning opportunities.
- Other info: Collaborative culture that values individuality and promotes career growth.
- Why this job: Shape the future of digital finance while working with cutting-edge technologies.
- Qualifications: Proficiency in Python or Scala, with experience in Big Data technologies.
The predicted salary is between 63000 - 77000 £ per year.
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 Principal 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 that enable trusted, scalable data platforms. Working across greenfield initiatives and enterprise-scale programmes, your work will directly influence how data is ingested, transformed, and consumed across the financial services industry. You'll also embrace AI-enabled ways of working, using approved AI and automation tools where appropriate to enhance productivity, improve delivery quality, and accelerate engineering outcomes while applying sound engineering judgement and responsible AI practices.
What You’ll Do
- Design and build end-to-end data pipelines using AWS-native services and modern cloud data architectures, ensuring scalable, secure, and resilient solutions.
- Partner with clients and cross-functional teams to understand business requirements, define technical solutions, and deliver production-grade data platforms.
- Apply AWS Well-Architected Principles, engineering best practices, CI/CD, and AI-enabled development approaches to improve quality, efficiency, and operational excellence.
- Lead the development of robust, tested, fault-tolerant data engineering solutions while promoting responsible engineering standards and governance.
- Mentor engineers, share technical expertise, and encourage the effective and responsible use of approved AI tools and automation to enhance collaboration and delivery.
What We’re Looking For
- Strong proficiency in Python, Scala, or Java, with hands-on experience of Big Data technologies including Spark, Hadoop, or similar distributed processing frameworks.
- Experience building real-time event streaming solutions using technologies such as Kafka, Spark Streaming, or Amazon Kinesis within AWS environments.
- Proven expertise designing modern data architectures including Data Lakehouse and Data Warehousing solutions, alongside CI/CD, DevOps practices, and data governance including GDPR.
- A collaborative engineering mindset with experience delivering scalable cloud solutions and using AI-enabled tools responsibly to improve engineering productivity while maintaining appropriate human oversight and quality assurance.
- Excellent stakeholder communication skills with the ability to translate business requirements into practical, high-quality technical solutions.
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 ingestion and transformation frameworks within cloud-native data platforms.
- Experience delivering solutions within highly regulated industries such as financial services.
- Passion for mentoring others, driving 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 Financial Services & 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: 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: Minimum 40 hours of training annually through workshops, certifications and e-learning, plus a dedicated Business Coach from day one to support your career development.
- 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.
capco Principal · Hybrid 04 de nov. Principal Data Engineer - AWS next.js python scala ci/cd +9 employer: korecv
korecv provides a collaborative work environment that encourages innovation and professional development. Employees have the opportunity to work on cutting-edge projects that significantly impact the AI landscape. With a focus on continuous learning, korecv supports its team members in enhancing their skills and advancing their careers.
StudySmarter Expert Advice🤫
We think this is how you could land capco Principal · Hybrid 04 de nov. Principal Data Engineer - AWS next.js python scala ci/cd +9
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like korecv!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like capco Principal · Hybrid 04 de nov. Principal Data Engineer - AWS next.js python scala ci/cd +9 at korecv.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like korecv.
✨Apply Directly through Our Website
When you find a suitable opening like capco Principal · Hybrid 04 de nov. Principal Data Engineer - AWS next.js python scala ci/cd +9 at korecv, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace capco Principal · Hybrid 04 de nov. Principal Data Engineer - AWS next.js python scala ci/cd +9
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at korecv, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at korecv. 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!
How to prepare for a job interview at korecv
✨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!
✨Showcase Your Projects
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!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at korecv!
✨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.
