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For Companies At a Glance
- Tasks: Support data operations and maintain data pipelines for a cutting-edge platform.
- Company: Join a high-growth B2B SaaS startup with a mission-driven focus.
- Benefits: Competitive pay, mentorship, and opportunities for career growth.
- Why this job: Gain hands-on experience with real-world data systems and make an impact from day one.
- Qualifications: Degree in a technical field and some experience with Python and SQL.
- Other info: Dynamic work environment with a commitment to social and environmental impact.
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 Bolton 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 Bolton
✨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 talk about your experience; demonstrate it! Create a portfolio showcasing any projects you've worked on, especially those involving Python or SQL. This will give potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for interviews by practising common questions related to data operations. Be ready to discuss how you’ve tackled challenges in past projects and how you ensure data quality. Confidence and clarity are key!
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to get noticed and shows you’re genuinely interested in joining our team. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Data Operations Engineer in Bolton
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 well as your organisational skills.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this opportunity. Share your passion for data quality and operational excellence, and how you see yourself contributing to our mission at StudySmarter.
Showcase Your Attention to Detail: In your application, pay close attention to formatting and grammar. A well-structured application demonstrates your attention to detail, which is crucial for the role of a Data Operations Engineer.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people and shows your enthusiasm for joining our team at StudySmarter!
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 it's just from university 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 ability to investigate and resolve problems will impress the interviewers.
✨Highlight Your Organisational Skills
Since the role involves juggling multiple priorities, be prepared to share how you manage your time and tasks. Discuss any tools or methods you use to stay organised, especially in fast-paced environments.
✨Express Your Eagerness to Learn
This is an early career position, so show your motivation to grow and learn quickly. Talk about your interest in B2B SaaS and data platforms, and how you plan to develop your skills in this area.
