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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 make a meaningful impact from day one.
- Qualifications: Degree in a technical field and some experience with Python and SQL.
- Other info: Fast-paced environment with excellent growth opportunities and a collaborative culture.
The predicted salary is between 30000 - 42000 £ per year.
Location: London (hybrid 3 days onsite)
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 Norwich 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 Norwich
✨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
We encourage you to apply directly through our website for the best chance at landing that Data Operations Engineer role. It shows initiative and gives us a chance to see your application in the best light!
We think you need these skills to ace Data Operations Engineer in Norwich
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 tell us 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!
Show Off Your Attention to Detail: In a role where data accuracy is key, we want to see that you pay attention to the little things. Make sure your application is free from typos and errors, and consider including examples of how you've ensured quality in past projects.
Apply Through Our Website: We encourage you to apply directly through our website. This way, you can ensure your application gets to the right people and shows us you're genuinely interested in joining our mission-driven company!
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. Brush up on any projects or internships where you used these tools, and be ready to discuss how you approached data challenges.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data issues in the past. Think about specific situations where you identified a problem, investigated it, and implemented a solution. This will demonstrate your analytical mindset.
✨Communicate Clearly
Since the role involves coordinating with multiple teams, practice articulating your thoughts clearly. You might be asked to explain technical concepts to non-technical stakeholders, so being able to simplify complex ideas is crucial.
✨Demonstrate Your Passion for Learning
This is an early career position, so show your enthusiasm for growth. Talk about any online courses, workshops, or personal projects you've undertaken to improve your skills in data operations or related fields.
