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- Tasks: Support client implementations and manage data operations for a cutting-edge SaaS platform.
- Company: Join STRATOS, a rapidly growing startup redefining the B2B SaaS landscape.
- Benefits: Competitive pay, mentorship from experts, and a vibrant office in Soho.
- Why this job: Gain hands-on experience with real-world data systems and make a meaningful impact.
- Qualifications: Degree in a technical field or relevant experience; Python and SQL skills preferred.
- Other info: Fast-paced environment with opportunities for rapid growth and learning.
The predicted salary is between 28800 - 48000 £ per year.
We are looking for a motivated Data Operations Engineer to join STRATOS – someone early in their career who is excited to work behind the scenes on a complex, high-impact B2B SaaS platform. This role is ideal for someone who enjoys making systems run smoothly, takes pride in data quality and accuracy, and wants to build strong technical foundations while working at a fast-growing start-up.
You will support multiple client implementations by managing data operations, integrations, and internal workflows that keep the STRATOS platform running reliably at scale.
As a Data Operations Engineer, you will play a critical role in the operational backbone of STRATOS. You will help manage and maintain data pipelines, ensure client environments are configured correctly, and support the accuracy and reliability of the metrics our customers depend on. You will balance tasks from multiple teams, requiring strong organisation, clear communication, and attention to detail. This is a hands-on role with real responsibility, offering rapid learning and exposure to production-grade data systems early in your career.
The work will involve using no-code systems in Palantir Foundry, an industry-leading enterprise data platform, and writing some code for custom functionality. You will also be tasked to find efficiencies in our internal processes, using AI tools and other systems to improve our way of working and enable us to scale our impact faster.
Tasks
- Support the smooth operation of multiple client implementations behind the scenes
- Help build, maintain, and monitor data pipelines and integrations across the STRATOS platform
- Work in Python, SQL and no-code analysis tools to transform, validate, and analyse data
- Ensure data accuracy and consistency across complex datasets and workflows
- Investigate and resolve data issues in collaboration with senior engineers
- Coordinate with product, engineering, and implementation teams to prioritise and deliver work
- Contribute to documentation and operational best practices as the platform scales
Requirements
- A degree in a quantitative or technical subject (e.g. Computer Science, Engineering, Mathematics, Physics, Economics, or similar), or equivalent practical experience
- Some hands-on experience with Python and SQL; internships and university projects are relevant
- Strong organisational skills and the ability to juggle multiple tasks and priorities
- Excellent written and verbal communication skills
- High attention to detail and a genuine care for data quality and correctness
- A proactive, ownership-driven mindset and willingness to learn quickly in a fast-moving environment
Nice to Have
- Exposure to data engineering tools or concepts (e.g. ETL pipelines, data modelling, analytics engineering)
- Familiarity with tools such as PySpark, Airflow, DBT, or Databricks
- Experience working with business data such as ERP, CRM, or operational systems
- Interest in B2B SaaS, data platforms, or AI-enabled products
Benefits
- The chance to build a strong technical foundation at a category-defining startup
- Close mentorship from experienced engineers and operators
- Exposure to real-world, production-scale data systems early in your career
- A fast-paced environment where you will take on meaningful responsibility from day one
- Competitive compensation and the opportunity to grow with the company
- A vibrant and inspiring office in Soho, London
- A mission-driven culture: net-zero on CO2 and 1% of revenue donated to social impact causes
Data Operations Engineer in London employer: STRATOS Technologies
Contact Detail:
STRATOS Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Operations Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with STRATOS employees on LinkedIn. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects in Python and SQL. This gives us a glimpse of your capabilities and passion for data operations.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to data operations. We love seeing candidates who can think on their feet and solve problems in real-time.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the STRATOS team and contributing to our mission.
We think you need these skills to ace Data Operations Engineer in London
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, especially those involving Python, SQL, or data management. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data operations and why you're excited about joining STRATOS. Be sure to mention any specific experiences that demonstrate your attention to detail and problem-solving skills. Let us know why you’re the perfect fit!
Show Off Your Communication Skills: Since this role involves coordinating with multiple teams, clear communication is key. In your application, showcase your ability to convey complex ideas simply and effectively. We love candidates who can articulate their thoughts well, both in writing and verbally!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy and ensures your application goes straight to our team. Plus, it shows us you’re genuinely interested in being part of STRATOS!
How to prepare for a job interview at STRATOS Technologies
✨Know Your Data Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss any relevant projects or internships where you've used these tools. STRATOS is all about data quality, so showing that you understand how to manage and manipulate data will definitely impress them.
✨Show Off Your Organisational Skills
Since the role involves juggling multiple tasks, be prepared to share examples of how you've managed competing priorities in the past. Whether it's a university project or a part-time job, highlight your ability to stay organised and keep everything running smoothly.
✨Communicate Clearly
STRATOS values clear communication, so practice articulating your thoughts concisely. During the interview, make sure to explain your ideas and solutions in a straightforward manner. This will demonstrate your ability to collaborate effectively with different teams.
✨Be Proactive and Curious
Show your enthusiasm for learning and improving processes. Discuss any experiences where you've taken initiative to solve problems or streamline workflows. STRATOS is looking for someone who is eager to grow and contribute to their mission, so let your passion shine through!
