Senior Data Engineer - AWS

Senior Data Engineer - AWS

Full-Time 48000 - 72000 ÂŁ / year (est.) No home office possible
The Capital Markets Company GmbH

At a Glance

  • Tasks: Design and build cloud-based data pipelines using AWS tools for financial transformation.
  • Company: Join Capco, a leader in tech solutions for Tier 1 financial institutions.
  • Benefits: Enjoy competitive salary, health insurance, flexible holidays, and continuous learning opportunities.
  • Why this job: Make a real impact on digital transformation in the financial services industry.
  • Qualifications: Experience in Python, Scala or Java, and strong knowledge of Big Data technologies.
  • Other info: Collaborative culture with a focus on diversity, equity, and inclusivity.

The predicted salary is between 48000 - 72000 ÂŁ per year.

Location: Edinburgh (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 how data is ingested, transformed, and served at scale across the financial services industry. This role will be located in our Scotland office, with a need to potentially work in either Edinburgh or Glasgow depending on client expectations.

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. Take your pick—workshops, certifications, e‑learning—your growth, your way.
  • Also, Business Coach assigned from Day One: Get one‑on‑one guidance to fast‑track your goals and accelerate your development.
  • Extra Perks: Gympass (Wellhub), 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. Capco does not and shall not discriminate on the basis of race, colour, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status, in any of its activities or operations.

Senior Data Engineer - AWS employer: The Capital Markets Company GmbH

Capco is an exceptional employer that fosters a collaborative and entrepreneurial culture, making it an ideal place for a Senior Data Engineer to thrive. With a strong commitment to continuous learning and professional development, employees benefit from tailored training opportunities, mentorship, and a supportive work environment that values diversity and inclusion. Located in Edinburgh, the company offers flexible working arrangements and a comprehensive benefits package, ensuring a healthy work-life balance while contributing to transformative projects in the financial services sector.
The Capital Markets Company GmbH

Contact Detail:

The Capital Markets Company GmbH Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer - AWS

✨Tip Number 1

Network like a pro! Reach out to your connections in the industry, especially those who work at companies you're interested in. A friendly chat can lead to referrals and insider info that could give you the edge.

✨Tip Number 2

Prepare for interviews by practising common questions and showcasing your AWS skills. We recommend setting up mock interviews with friends or using online platforms to get comfortable with the process.

✨Tip Number 3

Showcase your projects! Whether it's on GitHub or a personal website, having a portfolio of your work can really impress potential employers. It’s a great way to demonstrate your hands-on experience with data pipelines and AWS tools.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Senior Data Engineer - AWS

AWS
Python
Scala
Java
Big Data Technologies
Spark
Hadoop
Real-time Event Streaming
Kafka
Spark Streaming
Kinesis
Data Lakehouse
Data Warehousing
CI/CD Practices
DevOps Tooling
Data Governance
GDPR
Data Modelling
Schema Design
Structured Data
Semi-structured Data
Distributed Systems
HDFS
Hive
Databricks
AWS Lake Formation

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with AWS, data pipelines, and any relevant Big Data technologies. We want to see how your skills align with what we’re looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. Don’t forget to mention any specific projects that showcase your expertise.

Showcase Your Technical Skills: Be sure to highlight your proficiency in Python, Scala, or Java, along with your experience in building real-time event streaming pipelines. We love seeing practical examples of your work, so include any relevant projects or achievements!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team!

How to prepare for a job interview at The Capital Markets Company GmbH

✨Know Your AWS Inside Out

Make sure you brush up on your AWS knowledge, especially the tools and services relevant to data engineering. Be prepared to discuss how you've used AWS Well-Architected Principles in past projects to ensure scalability and security.

✨Showcase Your Coding Skills

Since proficiency in Python, Scala, or Java is key, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges that involve Big Data technologies like Spark or Hadoop.

✨Prepare for Real-Time Scenarios

Expect questions about building real-time event streaming pipelines. Brush up on your experience with Kafka, Spark Streaming, or Kinesis, and be ready to explain how you've implemented these in previous roles.

✨Highlight Your Mentoring Experience

As this role involves supporting and mentoring junior engineers, think of examples where you've shared your knowledge or led a team. Be ready to discuss how you foster collaboration and best practices within your team.

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