Senior Software Engineer (Data)

Beamery
London, UKPosted 27 March 2026

Job Description

Senior Software Engineer (Data) ABOUT BEAMERY We are a leading transformational AI platform in the HR technology industry, enabling enterprise companies to create better and fairer talent decisions – by accelerating their recruiting processes, unlocking successful internal mobility opportunities, enabling smarter upskilling initiatives, and facilitating agile workforce planning. We are helping our clients hire and redeploy over a million people annually. Read more about our work here https://www.forbes.com/councils/forbeshumanresourcescouncil/2025/02/13/how-to-address-skills-gaps-in-2025-part-1/. What’s ahead — and why it’s an exciting time to join the team: Deepening our native integrations with SAP, Workday, Microsoft, and LinkedIn to seamlessly embed our skills intelligence into the platforms where critical workforce decisions are made. Embedding our agentic AI to help customers plan smarter for the future—powering workforce strategies, internal mobility, and skills forecasting. Advancing our use of proprietary LLMs and knowledge graph technology to help organizations unlock broader talent pools, make fairer decisions, and expand access to opportunity at scale. But it’s not all about creating high-quality products, we also very much value the company culture we have worked hard to create; built on trust, empathy & honesty ensuring our workforce is able to bring their full selves to work. - Architect, Design, and Evolve a World-Class Data Platform: Take ownership of the architecture and development of a cutting-edge data platform, using state-of-the-art technologies and tools. You will lead the design and implementation of scalable, high-performance ETL data pipelines and storage solutions, ensuring operational excellence, uptime, and data correctness across all pipelines. - Lead the Development of the Analytics and Semantic Layer: Build and maintain the end-to-end analytics layer, developing robust data models and transformations to drive business intelligence. This includes defining and maintaining core business metrics, feature usage signals, as well as creating a clean, scalable semantic layer to support advanced analytical and AI applications - Drive Self-Service Data Empowerment: Develop and manage high-quality data products that empower other teams to access reliable insights quickly. You will implement proactive monitoring and alerting systems to ensure data quality and immediately address anomalies in key metrics or data streams. - Mentor and Guide a Team of Data and Software Engineers: Act as a technical leader within the team, providing mentorship to data and software engineers at all levels. You will help set best practices for coding, data modelling, and pipeline design, developing a culture of continuous improvement and technical excellence. - Collaborate and Influence Cross-Functionally: Partner with other cross-functional teams, to deeply understand data needs. You will be expected to translate complex requirements into actionable plans, effectively communicate data-led recommendations, and ensure project outcomes drive measurable business success. - Pioneer AI-First Development Practices: Champion modern, high-velocity development practices, leveraging advanced development and coding tools to increase velocity. You will write clean, structured, and scalable code and help cultivate an engineering environment focused on technical excellence and rapid iteration. - Influence Key Business and Technical Decisions: Leverage your expertise to shape the strategic direction of Beamery’s data platform, making informed recommendations that align with business goals. You will ensure that data is used effectively to guide critical decisions and that the platform continues to support rapid growth and scalability. What are we looking for? - dbt for data transformations; data storage (ideally both - SQL/NoSQL); - Back-end engineering (one of - NodeJS/Python/Java/C#); - Data pipelines and modeling (SQL); - ... (truncated, view full listing at source)
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