Data Operations Engineer

We’re 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’ll support multiple client implementations by managing data operations, integrations, and internal workflows that keep the STRATOS platform running reliably at scale.

About Us

At STRATOS Technologies, we are transforming how companies make data-driven decisions with our innovative Strategy Operating System. Our software integrates complex datasets into a unified solution, enabling businesses to strengthen their long-term strategies through clear and actionable insights.

Our founders, former business and tech executives who led a $1B division at a Fortune 500 industrial company, originally built a digital twin of their enterprise to drive synchronized planning and execution. Seeing the market’s lack of such a system, they launched STRATOS in 2022 with a bold mission: to build the world’s first strategy operating system that unifies all internal and external data into a single platform.

Today, STRATOS is a category-defining, rapidly growing startup funded extensively by high-profile investors (e.g., Accel) and trusted by nearly a dozen global industrial leaders and Fortune 500 customers. Our software integrates complex datasets into a unified solution, combining deep data integration, best-in-class workflows, and cutting-edge generative AI.

From commercial AI agents to embedded intelligence that supercharges lean teams, STRATOS enables businesses to achieve 10x productivity and strengthen long-term strategies through actionable insights. We are now expanding our team to accelerate our growth even further and help our customers outperform their competition.

The Role

As a Data Operations Manager, you’ll play a critical role in the operational backbone of STRATOS. You’ll 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’ll 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.

• 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

• 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 to us.
• 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

Preferred Skills and Qualifications

• 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

• Become part of a category-defining startup which transforms how industrial companies operate and compete
• Close collaboration with an elite, interdisciplinary team of seasoned tech and business leaders
• Close mentorship from experienced engineers and operators
• A steep but rewarding learning curve that is designed to challenge you and help you grow
• A highly competitive compensation package
• Attractive Stock options program, allowing you to share in the long-term success and growth of the company
• Flexible hybrid and local work options, with the option for visa sponsorship
• A dynamic, barista-equipped office in the heart of London, designed to foster creativity and collaboration
• A company committed to social and environmental responsibility—we pledge to be a net-zero CO₂ company and donate 1% of our revenue to social causes