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For Companies At a Glance
- Tasks: Support data operations and maintain data pipelines for a cutting-edge platform.
- Company: 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: Join a dynamic team and build your technical skills in a fast-paced environment.
- Qualifications: Degree in a quantitative field and some experience with Python and SQL.
- Other info: Collaborative office in central London with clear growth opportunities.
The predicted salary is between 30000 - 42000 £ per year.
Location: London (hybrid 3 days onsite)
Level: Graduate / Early Career
The Opportunity
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 Exeter employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Operations Engineer in Exeter
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data operations. Building relationships can open doors to opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of projects or contributions that highlight your experience with Python, SQL, or any relevant tools. This will give you an edge and demonstrate your hands-on abilities.
✨Ace the Interview
Prepare for your interviews by practising common questions and scenarios related to data operations. Be ready to discuss how you’ve tackled challenges in the past and how you can contribute to their team. Confidence is key!
✨Apply Through Our Website
Make sure to apply through our website for the best chance at landing that Data Operations Engineer role. We love seeing candidates who take the initiative to engage directly with us!
We think you need these skills to ace Data Operations Engineer in Exeter
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Operations Engineer role. Highlight any relevant projects or internships where you've used Python or SQL, as this will show us you're ready to hit the ground running.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data operations and how your background makes you a great fit for our team. Don’t forget to mention your motivation to learn in a fast-paced startup environment!
Showcase Your Attention to Detail: In a role like this, attention to detail is key. Make sure your application is free from typos and errors. This not only reflects your professionalism but also your commitment to data quality, which is super important to us.
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 mission-driven team!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Know Your Data Tools
Familiarise yourself with Python and SQL, as these are key to the role. Be ready to discuss any projects or experiences where you've used these tools, even if they were part of your studies or internships.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data issues in the past. Whether it was during a project or an internship, demonstrating your analytical thinking and attention to detail will impress the interviewers.
✨Communicate Clearly
Since this role involves coordinating with multiple teams, practice articulating your thoughts clearly. Use simple language to explain complex concepts, and be prepared to discuss how you would approach collaboration in a team setting.
✨Express Your Eagerness to Learn
This is an early career position, so show your motivation to grow and learn. Talk about your interest in B2B SaaS and data platforms, and mention any relevant courses or self-study you've undertaken to enhance your skills.
