At a Glance
- Tasks: Build and scale data pipelines for transforming unstructured financial data into clean datasets.
- Company: Early-stage AI company revolutionising financial data infrastructure.
- Benefits: Competitive salary, equity, and hybrid work model.
- Other info: High ownership from day one with opportunities for career growth.
- Why this job: Join a small, technical team and shape the future of AI-native data platforms.
- Qualifications: Experience in data pipelines, strong Python skills, and exposure to AI workflows.
The predicted salary is between 60000 - 80000 £ per year.
We’re working with an early-stage AI company building infrastructure that transforms large volumes of unstructured financial data into clean, queryable datasets used by major financial institutions.
They’re looking for a Data Infrastructure Engineer to own data pipelines end-to-end — from ingestion and transformation through to delivery — while working closely with AI agents and LLM-powered workflows.
What you’ll be doing:
- Building and scaling production-grade data pipelines handling large volumes of messy, unstructured data
- Designing ingestion, transformation, storage, and delivery systems end-to-end
- Working with AI agents and LLM workflows for document extraction and data processing
- Improving reliability, observability, and data quality across the platform
- Helping shape the architecture of an AI-native data platform from an early stage
What they’re looking for:
- Experience building and owning production data pipelines
- Strong Python engineering skills
- Experience working with unstructured data at scale
- Exposure to AI agents, LLMs, or orchestration workflows in production
- Background in fintech, market data, or similar high-trust environments is a plus
- Engineers who care deeply about data quality and correctness
Tech:
- Python
- Async systems / queues / web scraping
- Postgres / SQLite
- AI agents & LLM workflows
- Data pipelines & infrastructure
Why it’s interesting:
- High ownership from day one
- Strong mix of AI infrastructure + data engineering
- Real-world financial datasets with meaningful complexity
- Small, highly technical team with strong traction
- Opportunity to grow into a broader platform / technical leadership role
Data Engineer - Infra in Slough employer: Atarus
Join an innovative early-stage AI company where you will have the opportunity to take ownership of data pipelines and work with cutting-edge technology in a hybrid work environment. With a strong focus on employee growth, you will be part of a small, highly technical team that values data quality and offers competitive salaries along with equity options, making it an excellent place for those seeking meaningful and rewarding employment in the fintech space.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Infra in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in AI or fintech. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and any projects you've worked on. This is your chance to demonstrate your Python prowess and experience with unstructured data.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI agents and LLM workflows. Be ready to discuss how you’ve tackled challenges in data quality and reliability in past projects.
✨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 Engineer - Infra in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your experience with data pipelines, Python, and any work with unstructured data to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how your background fits with our mission. Share specific examples of your work with AI agents or LLM workflows to show us what you can bring to the table.
Show Your Enthusiasm for AI and Fintech:Let us know why you're excited about working in the AI and financial data space. A genuine interest in these areas can really set you apart from other candidates!
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 from our team!
How to prepare for a job interview at Atarus
✨Know Your Data Pipelines
Make sure you can talk confidently about your experience with data pipelines. Be ready to discuss specific projects where you've built or owned production-grade pipelines, especially those handling unstructured data. Highlight any challenges you faced and how you overcame them.
✨Brush Up on Python Skills
Since strong Python engineering skills are a must, ensure you're comfortable discussing your coding experience. Prepare to solve a coding challenge or answer technical questions related to Python, async systems, or data manipulation during the interview.
✨Familiarise Yourself with AI Workflows
Given the focus on AI agents and LLM workflows, do some research on these technologies. Be prepared to explain how you've worked with AI in the past, and think of examples where you've integrated AI into data processing or document extraction.
✨Show Your Passion for Data Quality
The company values engineers who care about data quality and correctness. Be ready to share your thoughts on why data quality matters and provide examples of how you've ensured high standards in your previous work. This will show that you align with their values.
