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- Tasks: Design and implement data architectures to unlock business value and optimise data workflows.
- Company: Join a global fintech leader shaping the future of data engineering.
- Benefits: Fully remote work, dynamic team culture, and opportunities for growth and innovation.
- Other info: Lead and mentor in a small team environment with big impact.
- Why this job: Make a real impact on meaningful challenges that benefit merchants worldwide.
- Qualifications: 4+ years SQL experience, strong programming skills, and familiarity with cloud concepts.
The predicted salary is between 60000 - 75000 ÂŁ per year.
Join our global fintech client and help shape the future of data engineering! Are you ready to design and implement a centralised enterprise data warehouse that becomes the single source of truth for business information? Our client is building next‑generation capabilities to power a merchant‑first ecosystem, and they want you on their team.
Responsibilities
- Design and deploy data architectures to unlock analytical and business value, including star schema modeling.
- Build and optimise ETL/ELT pipelines for diverse data sources using tools like Airflow and Airbyte.
- Develop automated, resilient data workflows in a cloud‑native environment.
- Design tables, build solutions, and identify architecture improvements to enhance performance.
- Reduce execution time for existing scripts and optimise data processes.
- Write APIs or ETL jobs to move data across systems.
- Collaborate with cross‑functional teams to deliver scalable, high‑performance solutions.
- Mentor team members and contribute to engineering best practices.
- Take ownership of Jira tickets and deliver accountable outcomes.
Qualifications
- 4+ years advanced SQL experience (Oracle, PostgreSQL).
- Strong programming skills in Java or Groovy.
- Experience with DBT for data transformation and modelling (Senior‑level expertise preferred).
- Familiarity with APIs (SOAP, REST), CI/CD tools (GIT, Jenkins), and Cloud concepts.
- Agile mindset with basic Agile experience, proactive problem‑solving, and strong collaboration skills.
Bonus Points
- Knowledge of Snowflake Analytics Platform (highly desirable for Senior roles).
- Experience with automation and testing frameworks.
Why You Will Love It
- Fully remote within the UK – work from anywhere!
- Be part of a dynamic, outcome‑driven team that values innovation and empowerment.
- Opportunity to lead, mentor, and shape the future of data engineering.
- Small teams, big impact: You’ll have the tools and freedom to innovate without unnecessary bureaucracy.
- Grow and thrive: They encourage creativity, continuous learning, and mastery of your craft.
- Real problems, real solutions: Work on meaningful challenges that make a difference for merchants worldwide.
Job Details
- Seniority level: Mid‑Senior level
- Employment type: Full‑time
- Job function: Information Technology
- Industries: IT System Data Services
- Location: Fully remote within the UK
Ready to make an impact? Apply now and help build the data foundation that drives smarter decisions and better outcomes.
Senior Data Engineer in Scotland employer: Eden Scott
Contact Detail:
Eden Scott Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Scotland
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech space and let them know you're on the lookout for a Senior Data Engineer role. A personal recommendation can go a long way in landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving ETL/ELT pipelines or cloud-native solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for the technical interview! Brush up on your SQL, Java, and DBT skills, and be ready to discuss your experience with APIs and CI/CD tools. We want to see how you tackle real-world problems, so practice explaining your thought process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our dynamic team and making an impact in the world of data engineering.
We think you need these skills to ace Senior Data Engineer in Scotland
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with SQL, ETL/ELT pipelines, and any relevant tools like Airflow or DBT. 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 mission. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool projects related to data architecture or automation, make sure to mention them. We’re keen to see real examples of your work and how you’ve tackled challenges in the past.
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, we love seeing applications come in through our own channels!
How to prepare for a job interview at Eden Scott
✨Know Your Data Engineering Fundamentals
Brush up on your data engineering principles, especially around data architectures and ETL/ELT processes. Be ready to discuss your experience with star schema modelling and how you've optimised data workflows in the past.
✨Showcase Your Technical Skills
Prepare to demonstrate your advanced SQL skills and programming knowledge in Java or Groovy. Have examples ready that highlight your experience with DBT for data transformation and any relevant projects where you’ve built APIs or worked with CI/CD tools.
✨Emphasise Collaboration and Mentorship
Since this role involves working with cross-functional teams and mentoring others, be prepared to share specific instances where you've collaborated effectively or guided team members. Highlight your proactive problem-solving approach and how it benefited your previous teams.
✨Understand the Company’s Vision
Research the fintech client’s mission and values. Be ready to discuss how your skills can contribute to their goal of creating a merchant-first ecosystem. Showing that you align with their vision will set you apart from other candidates.