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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 focus on innovation and collaboration.
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 Leeds 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 Leeds
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at local meetups. Don’t be shy; ask them about their experiences and any tips they might have for landing a role like Data Operations Engineer.
✨Tip Number 2
Get hands-on with projects! Whether it’s through internships, personal projects, or contributing to open-source, show off your skills in Python and SQL. This practical experience will make you stand out when you’re applying for roles.
✨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 to get comfortable with the process.
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets seen. Plus, you can tailor your application to highlight your passion for data quality and operational excellence, which is exactly what they’re looking for.
We think you need these skills to ace Data Operations Engineer in Leeds
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 like this, attention to detail is key. Make sure your application is free from typos and errors. This not only shows us your commitment to quality but also gives us a glimpse of how you might handle data accuracy in your work.
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 gives you a chance to explore more about our company and culture!
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 thinking and attention to detail.
✨Communicate Clearly
Since the role involves coordinating with multiple teams, practice articulating your thoughts clearly. You might be asked to explain complex data concepts, so being able to communicate effectively is crucial. Consider doing mock interviews to refine this skill.
✨Express Your Enthusiasm for Learning
This is an early career position, so show your motivation to learn and grow. Talk about your interest in B2B SaaS and data platforms, and mention any relevant courses or self-study you've undertaken. Companies love candidates who are eager to develop their skills!
