Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Support data operations and maintain pipelines for a cutting-edge data platform.
- Company: Join a high-growth B2B SaaS startup with a mission-driven focus.
- Benefits: Competitive pay, mentorship, and early exposure to real-world data systems.
- Why this job: Build your technical skills while making a meaningful impact from day one.
- Qualifications: Degree in a technical field or relevant experience; Python and SQL knowledge preferred.
- Other info: Dynamic startup culture with strong growth potential and collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
We're working with a high-growth B2B SaaS startup building an advanced enterprise data and decision intelligence platform. They're looking for a Data Operations Engineer at an early stage in their career who enjoys working behind the scenes to keep complex systems running smoothly.
This role is perfect for someone who takes pride in data quality, reliability, and operational excellence, and who wants to build strong technical foundations while contributing to a platform used by large, global organisations.
You’ll support multiple client environments, helping to manage data operations, integrations, and internal workflows that enable the platform to operate reliably at scale.
About the Company: The business is a category-defining technology startup founded by experienced business and technology leaders. Their product unifies complex internal and external datasets into a single enterprise platform, enabling organisations to plan, execute, and make strategic decisions more effectively. Launched in the early 2020s, the company has already been adopted by multiple global industrial and enterprise clients and continues to grow rapidly. The platform combines deep data integration, robust operational workflows, and modern AI capabilities to deliver meaningful impact across large organisations.
The Role: As a Data Operations Engineer, you’ll form part of the operational backbone of the platform. You’ll help maintain data pipelines, ensure client environments are correctly configured, and support the accuracy of business-critical metrics. The role involves juggling work across multiple teams, requiring strong organisation, clear communication, and attention to detail. This is a hands-on position with real responsibility and exposure to production-grade data systems early in your career. You’ll work with a mix of low-code/no-code tooling and Python/SQL, and you’ll actively look for ways to improve internal processes using automation and AI tools.
What You’ll Be Doing:
- Support the smooth operation of multiple client implementations
- Build, monitor, and maintain data pipelines and integrations
- Use Python, SQL, and low-code analytics tools to transform and validate data
- Ensure data accuracy and consistency across complex workflows
- Investigate and resolve data issues with support from senior engineers
- Coordinate with product, engineering, and implementation teams
- Contribute to documentation and operational best practices
What We’re Looking For:
- A degree in a quantitative or technical subject, or equivalent practical experience
- Some hands-on experience with Python and SQL (internships, university projects, or similar)
- Strong organisational skills and ability to manage multiple priorities
- Clear written and verbal communication
- High attention to detail and a strong sense of ownership
- Motivation to learn quickly in a fast-paced startup environment
Nice to Have:
- Exposure to data engineering or analytics concepts (ETL, data modelling, analytics engineering)
- Familiarity with tools such as PySpark, Airflow, dbt, or Databricks
- Experience working with business systems (ERP, CRM, operational data)
- Interest in B2B SaaS, data platforms, or AI-enabled products
What’s On Offer:
- Build a strong technical foundation at a rapidly scaling, category-defining startup
- Close mentorship from experienced engineers and operators
- Early exposure to real-world, production-scale data systems
- Meaningful responsibility from day one
- Competitive compensation with clear growth opportunities
- Modern, collaborative office in central London
- A mission-driven company committed to social and environmental impact
Data Operations Engineer in Bath employer: SR2 | Socially Responsible Recruitment | Certified B CorporationTM
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B CorporationTM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Operations Engineer in Bath
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects with Python and SQL. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to data operations. We recommend doing mock interviews with friends or using online platforms.
✨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!
We think you need these skills to ace Data Operations Engineer in Bath
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Operations Engineer role. Highlight any relevant projects or internships where you've used Python or SQL, and don’t forget to mention your organisational skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality! Explain why you're excited about this role and how your background makes you a great fit. Be sure to mention your motivation to learn in a fast-paced startup environment.
Showcase Your Attention to Detail: In a role focused on data quality and operational excellence, attention to detail is key. Use your application to demonstrate this—proofread for typos and ensure your formatting is consistent. We love a polished application!
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 to join our team!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B CorporationTM
✨Know Your Data Tools
Familiarise yourself with Python and SQL, as these are key to the role. Brush up on any low-code or no-code tools you might have used in your projects or internships. Being able to discuss your experience with these tools will show your technical readiness.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data issues in the past, whether during your studies or in practical experiences. Highlight your attention to detail and how you ensured data accuracy, as this is crucial for the role.
✨Communicate Clearly
Practice articulating your thoughts clearly and concisely. Since the role involves coordinating with multiple teams, being able to communicate effectively will set you apart. Consider doing mock interviews to refine your verbal communication skills.
✨Demonstrate Your Passion for Learning
Express your enthusiasm for the fast-paced startup environment and your eagerness to learn. Share any relevant courses or self-study you've undertaken related to data engineering or analytics concepts, as this shows your commitment to growth.
