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For Companies At a Glance
- Tasks: Support data operations and maintain data pipelines for a cutting-edge SaaS platform.
- Company: Fast-growing 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 real impact in the tech world.
- Qualifications: Degree in a technical field and some experience with Python and SQL.
- Other info: Collaborative office in London with great growth opportunities.
The predicted salary is between 36000 - 60000 £ 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
Locations
Data Operations Engineer in Cheshire, Warrington 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 Cheshire, Warrington
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your problem-solving skills. Use examples from your projects or internships to demonstrate your experience with Python and SQL.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and interests. Check out our website for roles that excite you, especially in B2B SaaS and data operations!
✨Tip Number 4
Follow up after interviews with a thank-you email. It shows your appreciation and keeps you fresh in their minds. Plus, it’s a great chance to reiterate your enthusiasm for the role!
We think you need these skills to ace Data Operations Engineer in Cheshire, Warrington
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 and grow in a fast-paced startup environment.
Showcase Your Attention to Detail: In this role, attention to detail is key. Make sure your application is free from typos and errors. This not only reflects your organisational skills but also shows us that you take pride in your work, which is super important for maintaining data quality.
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 low-code or no-code tools you might have used in university projects or internships, and be ready to discuss how you've applied them in practical scenarios.
✨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 show your potential to contribute effectively to the team.
✨Communicate Clearly
Since the role involves coordinating with multiple teams, practice articulating your thoughts clearly. Be ready to explain complex concepts in simple terms, as this will highlight your communication skills and your ability to work collaboratively.
✨Demonstrate Your Passion for Learning
Express your enthusiasm for the fast-paced startup environment and your eagerness to learn. Share any relevant courses, certifications, or personal projects that showcase your commitment to growing your technical skills and understanding of data operations.
