# Staff Data Engineer [Beamery](https://gurify.com/jobs?q=Beamery) · London, United Kingdom · Posted 6 weeks ago Principal [Data](https://gurify.com/jobs/data) [Apply on the original posting → (opens in a new tab)](https://jobs.ashbyhq.com/beamery/9e89fe4e-a3d3-4905-bf85-b02b3bf66d01) ## Job description ### ABOUT BEAMERY With the rapid expansion of AI and automation, the future of work has never been more challenging for organizations. Beamery’s unique jobs, skills and tasks data platform helps organizations navigate these challenges and make more informed decisions across Talent Lifecycle Management. Our solutions power recruitment, mobility, upskilling, diversity, work architecture and workforce planning for some of the world’s most forward-thinking companies. We believe that where you work is much more than just a job. Millions of people are being left behind every day in their careers, and we’re on a mission to fix this by creating equal access to meaningful work, skills and careers for all. We are an equal opportunity employer committed to building a representative Beamery, creating an equitable, inclusive and engaging environment for our people. So, what are you waiting for? Join us and help us transform the future of work once and for all. 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. ### ABOUT THE OPPORTUNITY Our data platform powers Beamery’s reporting and underpins our AI strategy. We’re hiring a Staff Data Engineer to set its technical direction. This is our most senior individual contributor role in data engineering. You’ll own the platform’s long-term architecture, make the calls that are expensive to reverse, and lead the work that follows. You’ll also partner with EPD leadership (Engineering, Product, and Design) on work that crosses team boundaries, and on keeping the platform aligned with company strategy. The platform exists so everyone at Beamery can make faster decisions with data they trust. The role suits someone energised by ambiguity who measures impact by what the organisation can do rather than what they personally shipped. WHAT WILL YOU BE DOING AT BEAMERY? - Own the technical strategy for the data platform. Define the multi-quarter architectural vision, build the case for investment with EPD leadership, and sequence delivery incrementally rather than as a big-bang migration. You take on the work with no established playbook and turn it into designs the team can execute. Expect challenges around multi-tenant consistency, correctness at scale, performance ceilings, and data modelling for AI and agentic workloads. - Architect the analytics, semantic, and AI data layers. Define how core business metrics, feature usage signals, and skills and task intelligence data are modelled, governed, and exposed as trustworthy products to BI, self-service, and AI consumers. - Set standards that scale beyond your team. Establish the architectural patterns, modelling conventions, and data contracts other teams adopt, favouring guardrails over review gates. Grow senior engineers into stronger technical decision-makers through design review, pairing, and mentorship. - Own reliability and trust at the platform level. Set our approach to observability, data quality, SLAs, and incident response; lead RCAs on the most serious failures and drive the systemic fixes that prevent recurrence. ### WHAT WE’RE LOOKING FOR You’re a staff-level data engineer who has built and run data platforms for internal and external consumers. You’ve built architectures that held up as they grew with a focus on data warehousing, data lakes, and both real-time and batch processing. Teams bring you their hardest data problems. You’ve made the hard tradeoffs in distributed, multi-tenant systems and lived with the consequences. You’re just as comfortable in production: tracing how one upstream failure ripples through to customers, and making sound calls under pressure. Your impact isn’t measured in code alone. You’ve led initiatives across team boundaries without formal authority, working directly with principal engineers, platform teams, and data scientists, and treating their constraints as part of your design problem. You’ve made architectural decisions others built on for years, and driven modernisation while balancing new technology against real delivery risk. You work with minimal direction, explain tradeoffs and risks credibly to executive audiences, and change your mind as readily as you defend a position. ### PREVIOUS PROFESSIONAL EXPERIENCE: - Data transformations using dbt, including patterns for large, complex projects - Data storage (SQL / NoSQL): schema design, modelling at scale, and multi-tenant isolation - Back-end engineering: Python (nice to have: Typescript/Node.JS) - Pipelines: streaming, CDC, correctness, replayability, and evolution over time - Data quality and observability: validation, testing, data contracts, monitoring, alerting, and incident response - Infrastructure as code and containerisation (Terraform, Kubernetes) ### OUR DATA STACK Our stack will change as we grow, and you’ll be shaping those changes. The ability to learn new tools matters more than experience with any specific one. - DBT for data modelling and transformation - BigQuery data warehouse - Kafka for data streaming between systems - PostgreSQL & MongoDB for databases - Typescript/Node.JS on the backend - Kubernetes - Python - Segment for customer-centric event collection Beamery is open to engage with direct employment or contractors for this position in order to find the right fit candidate to join our team. Beamery is for Everybody. Diversity and open expression are fundamental to us. We acknowledge the challenges in our industry and strive to develop an inclusive culture where everybody can contribute. We are dedicated to creating an inclusive environment for everyone, regardless of ethnicity, religion, color, sexual orientation, gender identity, race, national origin, age, disability status, or caregiver status. If, for whatever reason, you need us to make reasonable adjustments and adaptations to our recruitment process, please email accommodations@beamery.com Visit our Diversity, Equality and Inclusion page https://careers.beamery.com/life-at-beamery/diversity-equality-inclusion/to learn more about progress and commitments. **Live in Beamery’s hiring system.** Read from the company's own applicant tracking system, not reposted from a job board — so it's a real, open requisition rather than an ad that outlived the role. We remove it as soon as it disappears at source. ## More jobs like this - PL [Senior Data Engineer (Commercial Analytics)](https://gurify.com/job/senior-data-engineer-commercial-analytics-at-pleo-20f49b17964f) Pleo · London · 4 days ago - TR [Embedded Data Engineer - ML](https://gurify.com/job/embedded-data-engineer-ml-at-trainline-87a1c4df04fa) Trainline · London · last week - SO [Data Engineer](https://gurify.com/job/data-engineer-at-solveintelligence-ebf465f19936) Solveintelligence · London · 4 days ago - SU [Senior Data Engineer](https://gurify.com/job/senior-data-engineer-at-superpayments-c3938afbf460) Superpayments · London · last week - BL [Graduate Data Engineer](https://gurify.com/job/graduate-data-engineer-at-blenheimchalcot-9f20865a84ff) Blenheimchalcot · London · 4 days ago - FO [Graduate Data Engineer](https://gurify.com/job/graduate-data-engineer-at-fosphamarketing-4b8b0ab6d1c9) Fosphamarketing · London · 4 days ago ```json {"@context":"https://schema.org/","@type":"JobPosting","title":"Staff Data Engineer","description":"\u003Ch3\u003EABOUT BEAMERY\u003C/h3\u003E\u003Cp\u003EWith the rapid expansion of AI and automation, the future of work has never been more challenging for organizations. Beamery\u2019s unique jobs, skills and tasks data platform helps organizations navigate these challenges and make more informed decisions across Talent Lifecycle Management. Our solutions power recruitment, mobility, upskilling, diversity, work architecture and workforce planning for some of the world\u2019s most forward-thinking companies.\u003C/p\u003E\u003Cp\u003EWe believe that where you work is much more than just a job. Millions of people are being left behind every day in their careers, and we\u2019re on a mission to fix this by creating equal access to meaningful work, skills and careers for all.\u003C/p\u003E\u003Cp\u003EWe are an equal opportunity employer committed to building a representative Beamery, creating an equitable, inclusive and engaging environment for our people.\u003C/p\u003E\u003Cp\u003ESo, what are you waiting for? Join us and help us transform the future of work once and for all.\u003C/p\u003E\u003Cp\u003EWhat\u2019s ahead \u2014 and why it\u2019s an exciting time to join the team:\u003C/p\u003E\u003Cp\u003EDeepening our native integrations with SAP, Workday, Microsoft, and LinkedIn to seamlessly embed our skills intelligence into the platforms where critical workforce decisions are made.\u003C/p\u003E\u003Cp\u003EEmbedding our agentic AI to help customers plan smarter for the future\u2014powering workforce strategies, internal mobility, and skills forecasting.\u003C/p\u003E\u003Cp\u003EAdvancing 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.\u003C/p\u003E\u003Cp\u003EBut it\u2019s 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 \u0026amp; honesty ensuring our workforce is able to bring their full selves to work.\u003C/p\u003E\u003Ch3\u003EABOUT THE OPPORTUNITY\u003C/h3\u003E\u003Cp\u003EOur data platform powers Beamery\u2019s reporting and underpins our AI strategy. We\u2019re hiring a Staff Data Engineer to set its technical direction.\u003C/p\u003E\u003Cp\u003EThis is our most senior individual contributor role in data engineering. You\u2019ll own the platform\u2019s long-term architecture, make the calls that are expensive to reverse, and lead the work that follows. You\u2019ll also partner with EPD leadership (Engineering, Product, and Design) on work that crosses team boundaries, and on keeping the platform aligned with company strategy. The platform exists so everyone at Beamery can make faster decisions with data they trust. The role suits someone energised by ambiguity who measures impact by what the organisation can do rather than what they personally shipped.\u003C/p\u003E\u003Cp\u003EWHAT WILL YOU BE DOING AT BEAMERY?\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EOwn the technical strategy for the data platform. Define the multi-quarter architectural vision, build the case for investment with EPD leadership, and sequence delivery incrementally rather than as a big-bang migration. You take on the work with no established playbook and turn it into designs the team can execute. Expect challenges around multi-tenant consistency, correctness at scale, performance ceilings, and data modelling for AI and agentic workloads.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EArchitect the analytics, semantic, and AI data layers. Define how core business metrics, feature usage signals, and skills and task intelligence data are modelled, governed, and exposed as trustworthy products to BI, self-service, and AI consumers.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ESet standards that scale beyond your team. Establish the architectural patterns, modelling conventions, and data contracts other teams adopt, favouring guardrails over review gates. Grow senior engineers into stronger technical decision-makers through design review, pairing, and mentorship.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EOwn reliability and trust at the platform level. Set our approach to observability, data quality, SLAs, and incident response; lead RCAs on the most serious failures and drive the systemic fixes that prevent recurrence.\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EWHAT WE\u2019RE LOOKING FOR\u003C/h3\u003E\u003Cp\u003EYou\u2019re a staff-level data engineer who has built and run data platforms for internal and external consumers. You\u2019ve built architectures that held up as they grew with a focus on data warehousing, data lakes, and both real-time and batch processing.\u003C/p\u003E\u003Cp\u003ETeams bring you their hardest data problems. You\u2019ve made the hard tradeoffs in distributed, multi-tenant systems and lived with the consequences. You\u2019re just as comfortable in production: tracing how one upstream failure ripples through to customers, and making sound calls under pressure.\u003C/p\u003E\u003Cp\u003EYour impact isn\u2019t measured in code alone. You\u2019ve led initiatives across team boundaries without formal authority, working directly with principal engineers, platform teams, and data scientists, and treating their constraints as part of your design problem. You\u2019ve made architectural decisions others built on for years, and driven modernisation while balancing new technology against real delivery risk. You work with minimal direction, explain tradeoffs and risks credibly to executive audiences, and change your mind as readily as you defend a position.\u003C/p\u003E\u003Ch3\u003EPREVIOUS PROFESSIONAL EXPERIENCE:\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EData transformations using dbt, including patterns for large, complex projects\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EData storage (SQL / NoSQL): schema design, modelling at scale, and multi-tenant isolation\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EBack-end engineering: Python (nice to have: Typescript/Node.JS)\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EPipelines: streaming, CDC, correctness, replayability, and evolution over time\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EData quality and observability: validation, testing, data contracts, monitoring, alerting, and incident response\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EInfrastructure as code and containerisation (Terraform, Kubernetes)\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EOUR DATA STACK\u003C/h3\u003E\u003Cp\u003EOur stack will change as we grow, and you\u2019ll be shaping those changes. The ability to learn new tools matters more than experience with any specific one.\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EDBT for data modelling and transformation\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EBigQuery data warehouse\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EKafka for data streaming between systems\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EPostgreSQL \u0026amp; MongoDB for databases\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ETypescript/Node.JS on the backend\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EKubernetes\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EPython\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ESegment for customer-centric event collection\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003EBeamery is open to engage with direct employment or contractors for this position in order to find the right fit candidate to join our team.\u003C/p\u003E\u003Cp\u003EBeamery is for Everybody. 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