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- 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 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 career growth potential.
The predicted salary is between 36000 - 60000 £ per year.
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.
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 Brighton 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 Brighton
✨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 Brighton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Operations Engineer role. Highlight any relevant projects or internships where you've used Python or SQL, as well as your organisational skills.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this opportunity. Share your passion for data quality and operational excellence, and how you see yourself contributing to our mission at StudySmarter.
Showcase Your Attention to Detail: In your application, pay close attention to formatting and grammar. A well-structured application demonstrates your attention to detail, which is crucial for the role of a Data Operations Engineer.
Apply Through Our Website: We encourage you to apply directly through our website. This way, you can ensure your application reaches us quickly and you can easily keep track of your application status!
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. Brush up on any projects or experiences you've had using these tools, and be ready to discuss how you’ve applied them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data issues in the past. Whether it was during an internship or a university project, demonstrating your analytical thinking and troubleshooting abilities will impress the interviewers.
✨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 and 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, workshops, or self-study you've undertaken to improve your skills in data operations or related fields.
