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- Tasks: Shape the future of data by designing robust data pipelines and optimising our data warehouse.
- Company: Fast-paced FinTech business focused on evolving data strategies.
- Benefits: Salary up to £55k, flexible hybrid model, and permanent opportunity.
- Why this job: Make a real impact in a small, agile team with ownership of projects.
- Qualifications: Strong Python, SQL, and AWS experience; self-starter mindset required.
- Other info: We value diversity and offer reasonable adjustments for neurodiversity inclusion.
The predicted salary is between 55000 - 55000 £ per year.
If you’re someone who thrives on solving real-world problems with clean, scalable code, we want to hear from you. We are looking for a hands-on Data Engineer to help us shape the future of data in a fast-paced FinTech business that is evolving its data strategy.
Working closely with the Lead Data Scientist, you will take ownership of evolving and optimising the new data warehouse, designing robust data pipelines from scratch, and playing a key role in how data is managed and delivered to customers.
Why this role?
- Major voice in shaping how we build and scale our data products
- Involved in automation, pipeline design, and machine learning projects
- High-impact role in a small, agile team with real ownership
You’ll need:
- Strong Python and SQL
- Solid AWS experience (Glue, Lambda, SQS, S3, etc.)
- Experience building/maintaining ETL pipelines
- Data modelling and warehousing knowledge (PostgreSQL, Redshift, Snowflake etc.)
- Self-starter mindset, you’ll get stuck in and find answers independently to bring back to the team
- Drive to want to own projects and put forwards ideas and recommendations to enhance the business and how they manage their data
Desirable:
- Degree in mathematics, statistics, or computer science
- Experience with DevOps tools (Docker, Kubernetes, etc.)
- Exposure to machine learning concepts
What you’ll get:
- Salary up to £55k
- Flexible hybrid model – only 1 day per quarter in the office, Lincolnshire
- Permanent opportunity
We are an equal opportunity recruitment company. This means we welcome applications from all suitably qualified people regardless of race, sex, disability, religion, sexual orientation or age. We are particularly invested in Neurodiversity inclusion and offer reasonable adjustments in the interview process. Reasonable adjustments are changes that we can make in the interview process if your disability puts you at a disadvantage compared with others who are not disabled. If you would benefit from a reasonable adjustment in your interview process, please call or email one of our recruiters.
Data Scientist in Stratford-upon-Avon employer: Big Red Recruitment
Contact Detail:
Big Red Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Stratford-upon-Avon
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and data pipelines. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s data strategy. Be ready to discuss how you can contribute to their goals and bring fresh ideas to the table.
✨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 Data Scientist in Stratford-upon-Avon
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data science! Share specific examples of how you've tackled real-world problems using Python and SQL. We love seeing candidates who are genuinely excited about shaping the future of data.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to highlight your relevant experience with AWS, ETL pipelines, and data warehousing. We want to know how your skills align with our needs, so don’t be shy about showcasing your achievements!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications. Remember, we’re looking for someone who can communicate complex ideas simply, just like in coding!
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’re considered for the role. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Big Red Recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and AWS services like Glue and Lambda. Brush up on your ETL pipeline knowledge and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of real-world problems you've solved using data. Highlight your self-starter mindset by discussing how you independently tackled challenges and what impact your solutions had on previous teams or projects.
✨Understand the Business Context
Familiarise yourself with the FinTech industry and the specific challenges it faces regarding data management. This will help you articulate how your skills can contribute to shaping their data strategy effectively.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.