At a Glance
- 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 £ 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
Eden Scott is an exceptional employer that fosters a collaborative and innovative work culture, perfect for a Senior Data Modelling Architect. With a strong emphasis on employee growth, we offer continuous learning opportunities and the chance to work on cutting-edge AI-driven projects in a vibrant location. Join us to make a meaningful impact while enjoying a supportive environment that values your expertise and contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Scotland
✨Get Involved in Data Science Meetups
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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 Eden Scott.
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When you find a suitable opening like Senior Data Engineer at Eden Scott, 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 Senior Data Engineer in Scotland
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 Eden Scott, 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 Eden Scott. 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 Eden Scott
✨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 Eden Scott!
✨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.
