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For Companies At a Glance
- Tasks: Support data operations and maintain pipelines for a cutting-edge data platform.
- Company: Join a 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: Build your technical skills while making a meaningful impact from day one.
- Qualifications: Degree in a technical field or relevant experience; Python and SQL knowledge preferred.
- Other info: Dynamic work environment with strong growth potential and collaborative culture.
The predicted salary is between 36000 - 60000 £ 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 Chelmsford 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 in Chelmsford
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects with Python and SQL. This gives potential employers a taste of what you can do.
✨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.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Data Operations Engineer in Chelmsford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Operations Engineer role. Highlight any relevant experience with Python, SQL, or data operations. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data quality and operational excellence. Let us know why you're excited about joining our team and how you can contribute to our mission.
Showcase Your Projects: If you've worked on any projects involving data pipelines or analytics, be sure to mention them! We love seeing practical examples of your skills in action, so don’t hold back on sharing your achievements.
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 shows you’re keen to join our team!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B CorporationTM
✨Know Your Data Basics
Brush up on your Python and SQL skills before the interview. Be ready to discuss any projects or internships where you used these tools. Showing that you can handle data operations will impress them!
✨Show Your Organisational Skills
Prepare examples of how you've managed multiple tasks or projects simultaneously. This role requires juggling various responsibilities, so demonstrating your organisational prowess will be key.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. Since you'll be coordinating with different teams, clear communication is essential. Think about how you can convey your ideas effectively during the interview.
✨Demonstrate Your Eagerness to Learn
Express your motivation to grow in a fast-paced environment. Share any experiences where you quickly adapted to new tools or processes, as this will show your potential to thrive in their startup culture.
