The Role 

You’ll help Product Operations leverage AI to change how we manage information and take action. You will improve our ability to measure our impact in accelerating the building of features, products, and solutions. This will lead to better, scaled customer experiences.

Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.

What You’ll Do

• Improve how a Global Organization identifies customer problems, creates, commercializes and operates AI, Data, and Software solutions. 
• Work with stakeholders to design Initiatives and Projects that you will own. 
• Design SMART goals and associated metrics.  
• Improve Product lifecycle and Software development practices.
• Work with Financial Products
• Stocks, Bonds, Mutual Funds, Alternative Investments
• Improve how we serve our Customer Segments
• Wealth Management Firms
• Enterprises / Large Banks
• Institutional Investors

Who You Are 

While it’s helpful to know Financial Services, and more specifically Wealth Management, it isn’t required. You must be willing to learn all aspects of our business, financial products, product development, and business strategy. 

You’re a problem solver with an experimentation mindset. You’ve proven an ability to learn rapidly and you have a desire to teach others. The proof could be a Graduate Degree in a technical or research discipline, having worked as a Consultant, or having a couple of years of experience as a Data Analyst or Software Engineer, working with customers or internal stakeholders using data to understand what’s happening. The important thing isn't the job title, it’s your mindset. 

Must Haves

• Analytical and Problem solving mindset
• Comfortable interacting with stakeholders to decompose abstract problems into experiments  
• SQL expertise
• Prior Software or Data Engineering experience

Nice to Haves

• Consulting Experience
• Proficiency with Ai Tools (specifically Claude), Experience using ML/Ai techniques.
• Proficiency in Python and / or Javascript.
• Experience with Data Lake platforms Databricks (preferred), Snowflake, Amazon Redshift, BigQuery or Microsoft Fabric.
• Experience with Figma, Canva, Lucid etc, or other Design Mocking or Prototyping tools.
• Computer Science, Operations Research, Economics, Statistics, or similar engineering background
• Experience in Financial Services and especially in Wealth Management

AWS Data Engineer (Mid-Level)
Location: Edinburgh (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent

Empower the future of finance with transformative data solutions

The Role
As an AWS Data Engineer at Capco, you'll design and build scalable, secure, and well-tested data pipelines for some of the world's largest financial institutions. You’ll play a key role in digital and data transformation initiatives, collaborating closely with cross-functional teams to deliver impactful, production-grade solutions across cloud and on-premise environments.

This role will sit in our Scotland office, with a need to potentially work in either Glasgow or Edinburgh depending on client expectations.

What You’ll Do

• Design and develop robust data pipelines across streaming and batch environments

• Lead engineering best practices including CI/CD, testing, and automation

• Contribute to architecture discussions and cloud migration strategies

• Collaborate with clients to define requirements and deliver innovative solutions

• Support internal capability development by sharing your expertise and experience

What We’re Looking For

• Strong hands-on experience with Python, Java, or Scala

• Proficiency in AWS cloud environments and big data tech (Spark, Hadoop, Airflow)

• Solid understanding of SQL, ETL/ELT approaches, and data modelling techniques

• Experience building CI/CD pipelines with tools like Jenkins or CircleCI

• Knowledge of data security protocols and distributed system design

Bonus Points For

• Experience with messaging systems (Kafka, Spark Streaming, Kinesis)

• Familiarity with schema design and semi-structured data formats

• Exposure to containerisation, graph databases, or machine learning concepts

• Proficiency with cloud-native data tools (BigQuery, Redshift, Snowflake)

• Enthusiasm for learning and experimenting with new technologies

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: 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:  Your growth, your way - minimum 40 hours of training annually. Take your pick; workshops, certifications, e-learning. 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 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