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For Companies At a Glance
- Tasks: Support data operations and maintain data pipelines for a cutting-edge SaaS platform.
- Company: Join a high-growth B2B SaaS startup with a mission-driven focus.
- Benefits: Competitive salary, mentorship, and early exposure to real-world data systems.
- Why this job: Build your technical skills while making a meaningful impact in a fast-paced environment.
- Qualifications: Degree in a quantitative field and some experience with Python and SQL.
- Other info: Enjoy a modern office in central London with great career 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 Sheffield 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 Sheffield
✨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 where you've used Python or SQL. Whether it’s a personal project or something from your studies, having tangible examples can really make you stand out.
✨Ace the Interview
Prepare for your interviews by practicing common questions related to data operations. Think about how you can demonstrate your problem-solving skills and attention to detail. Remember, it’s not just about answering questions but also about showing your enthusiasm for the role!
✨Apply Through Our Website
We encourage you to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be part of a community that values growth and innovation in the data space.
We think you need these skills to ace Data Operations Engineer in Sheffield
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!
Showcase 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 not only streamlines the process but also shows us you're genuinely interested in joining our team. Plus, it's super easy to do!
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. Whether it was during a project or an internship, highlight your analytical thinking and how you ensured data accuracy and reliability.
✨Communicate Clearly
Since this role involves coordinating with multiple teams, practice articulating your thoughts clearly. Be prepared to explain complex concepts in simple terms, showcasing your communication skills.
✨Demonstrate Your Organisational Skills
Think of instances where you managed multiple priorities effectively. Discuss how you kept track of tasks and ensured deadlines were met, as this will show your ability to thrive in a fast-paced environment.
