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For Companies At a Glance
- Tasks: Support data operations and maintain pipelines for a cutting-edge data platform.
- Company: Fast-growing B2B SaaS startup with a mission-driven focus.
- Benefits: Competitive pay, mentorship, and opportunities for growth in a collaborative environment.
- 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 or equivalent experience; Python and SQL skills preferred.
- Other info: Join a dynamic team and contribute to innovative solutions in data intelligence.
The predicted salary is between 28800 - 48000 £ per year.
Location: London (hybrid 3 days onsite)
Level: Graduate / Early Career
The Opportunity
We are working with a high-growth B2B SaaS startup building an advanced enterprise data and decision intelligence platform. They are 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 will 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 will form part of the operational backbone of the platform. You will 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 will work with a mix of low-code/no-code tooling and Python/SQL, and you will actively look for ways to improve internal processes using automation and AI tools.
What You Will 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 Are 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 is 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 employer: SR2 | Socially Responsible Recruitment | Certified B CorporationTM
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B CorporationTM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Operations Engineer
✨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 skills. Use mock interviews with friends or online platforms to get comfortable talking about your experience with Python, SQL, and data operations.
✨Tip Number 3
Showcase your passion for data! Create a portfolio of projects that highlight your skills in data pipelines and integrations. This will not only impress potential employers but also give you something tangible to discuss during interviews.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for fresh talent, and applying directly can sometimes give you an edge. Plus, it’s a great way to show your enthusiasm for joining our team!
We think you need these skills to ace Data Operations Engineer
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 hands-on experience with Python and SQL, and don’t forget to mention your organisational skills and attention to detail!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for data operations and how you can contribute to our mission. Be sure to mention why you're excited about working in a fast-paced startup environment.
Showcase Relevant Projects: If you've worked on any projects related to data engineering or analytics, make sure to include them in your application. This could be from internships, university projects, or even personal initiatives that demonstrate your skills and motivation.
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 this exciting opportunity at StudySmarter!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B CorporationTM
✨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 they were part of your studies 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 analytical thinking and attention to detail will impress the interviewers.
✨Communicate Clearly
Since this role involves coordinating with multiple teams, practice articulating your thoughts clearly. Use simple language to explain complex concepts, and be prepared to answer questions about your communication style.
✨Express Your Eagerness to Learn
This is an early career position, so show your motivation to grow and learn. Discuss any relevant courses, workshops, or self-study you've undertaken to enhance your skills in data operations and analytics.
