We’re looking for a passionate Forward Deployed Data Engineer to join our team at STRATOS – someone eager to sit at the intersection of cutting-edge technology and real-world impact.As a Forward Deployed Engineer, you’ll work shoulder-to-shoulder with industry leaders to embed our platform deep into their operations – transforming strategic intent into live systems that drive measurable results. In today’s world, where the last mile of implementation creates the competitive moat, you’ll be the catalyst turning software into scale.About STRATOSOur founders, former business and tech executives, led a $1B division at a Fortune 500 industrial company. To effectively steer their business, they built a digital twin of their enterprise – the first Strategy Operating System: a platform that unified all internal and external data into a single platform to drive synchronized planning and execution across the global organization.Seeing the impact and market’s lack of such a system, they left their executive roles to launch STRATOS in 2022 with a bold mission: build the world’s first strategy operating system.Fast forward 3 years – STRATOS is a category-defining, rapidly growing startup, already helping close to a dozen global industrial companies outperform their competition. Our platform combines deep data integration, a powerful suite of best-in-class workflows, and cutting-edge generative AI.From commercial AI agents that can service the entire market, to embedded intelligence that supercharges lean teams — STRATOS enables customers to achieve 10x productivity and impact.Why Forward Deployed EngineeringWhile we have a scalable technology backbone, we believe that Forward Deployed Engineering is the future of differentiated B2B SaaS in the GenAI age. Rather than shipping static tools, we partner closely with customers to deliver dynamic, tailored solutions where value is created in the implementation layer – not just the codebase.Tasks

Solve our customers’ hardest business challenges by adapting and deploying the STRATOS platform to their needsDesign and implement scalable generative AI workflows using platforms like Palantir AIPExecute complex data integration using PySpark and other distributed technologiesCollaborate directly with clients to understand context, priorities, and key outcomeRequirements

Minimum 2-4 years of solid experience in data engineering or analytics.Experience at start-up companies and/or an excitement to experience first-hand the adventure that comes with a fast-scaling tech company, alternatively experience at a top-tier consultancy.The ability to translate complex and sometimes ambiguous business requirements into clean and maintainable data pipelinesExcellent knowledge of PySpark, Python and SQL fundamentalsThe ability to get to grips with new technologies quicklyWhat’s Nice to Have

Experience in dashboarding tools, Typescript and API developmentFamiliarity with Airflow, DBT, DatabricksExperience working with Enterprise Resource Planning (e.g. Oracle, SAP) and CRM systemsBenefits

Become part of a category-defining startup which transforms transforming how industrial companies operate and competeClose collaboration with an elite, interdisciplinary team of seasoned tech and business leadersA highly competitive compensation package, including meaningful stock optionsA vibrant and inspiring office in Soho, LondonA mission-driven culture: we’re net-zero on CO2 and donate 1% of revenue to social impact causes

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