About the job

STRATOS Technologies is hiring a Data Operations Engineer to support the operational backbone of its rapidly growing B2B SaaS platform. The role involves working closely with engineering, product, and implementation teams to manage data pipelines, integrations, and client environments that ensure the STRATOS platform runs reliably at scale. Candidates will work with technologies such as Python, SQL, and no-code tools within enterprise platforms like Palantir Foundry to transform, validate, and analyse complex datasets. Responsibilities include monitoring and maintaining data pipelines, ensuring data accuracy and consistency, resolving data issues with senior engineers, and contributing to operational best practices as the platform scales. Applicants should have a degree in a technical or quantitative field such as Computer Science, Engineering, Mathematics, or Economics and some experience with Python and SQL through internships, academic projects, or professional work. Familiarity with data engineering tools like PySpark, Airflow, DBT, or Databricks and knowledge of ERP or CRM systems will be advantageous. STRATOS Technologies is a fast-growing London-based startup that combines data integration, AI capabilities, and enterprise decision systems to help organizations make better data-driven strategic decisions. The company offers a competitive compensation package, stock options, mentorship from experienced engineers, and flexible working options with potential visa sponsorship for eligible candidates.