Back to jobs

Staff Data Engineer

London, UK · London, England, United Kingdom

Pay
Pay not listed
Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
Product and Engineering › Engineering — team source
Department: Product and Engineering › Engineering
From the employer’s posting

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
Do you have the right to work in the UK or do you require employer sponsorship?
From the employer’s application form
Apply at Beamery

What you’ll work on

Full posting
  • Own the multi-quarter technical strategy and architecture for the data platform

  • Architect analytics, semantic and AI data layers with governed, trusted data products

  • Set data modelling conventions, patterns and data contracts for other teams

  • Set observability, data quality, SLA and incident response standards

  • Lead root cause analyses on serious failures and drive systemic fixes

From the employer’s posting
Own the technical strategy for the data platform.
Architect the analytics, semantic, and AI data layers.
Establish the architectural patterns, modelling conventions, and data contracts other teams adopt
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

Tools in this posting

  • Python
  • SQL
  • TypeScript
  • BigQuery
  • dbt
  • Kafka
  • Kubernetes
  • MongoDB
  • NoSQL
  • PostgreSQL
  • Terraform
  • Node.js
Source — Tool mentions in context
- 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
- Kubernetes - Python - Segment for customer-centric event collection
- 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)
- PostgreSQL & MongoDB for databases - Typescript/Node.JS on the backend - Kubernetes
- DBT for data modelling and transformation - BigQuery data warehouse - Kafka for data streaming between systems
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
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
- BigQuery data warehouse - Kafka for data streaming between systems - PostgreSQL & MongoDB for databases
- Data quality and observability: validation, testing, data contracts, monitoring, alerting, and incident response - Infrastructure as code and containerisation (Terraform, Kubernetes) Our data stack
- Typescript/Node.JS on the backend - Kubernetes - Python
- Kafka for data streaming between systems - PostgreSQL & MongoDB for databases - Typescript/Node.JS on the backend

About Beamery

With the rapid expansion of AI and automation, the future of work has never been more challenging for organizations.

In the employer’s words · Read in context · Company website ↗

Posting record

Report an error
Status in our records
Live
First seen by us
Aug 8, 2026 · 82 days ago
Recorded sightings
32
Last seen by us
Oct 29, 2026
Employer says posted
Aug 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.

Already applied? Track this application

Job description

View original posting ↗

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: 

Building agentic AI with advanced orchestration (multi-agent workflows, tool use, evaluation loops) that turns complex talent data into decisions.

  • Training and fine-tuning our own models on unique data about jobs, skills and tasks, and benchmarking them against the best in our market.

  • Joining an award-winning AI team (ACM RecSys Challenge 2026) that turns new ideas into innovative solutions with scientific rigour.

  • Sharing our work and learning from industry peers through challenges, conferences and publications.

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 to learn more about progress and commitments.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

London, England, United Kingdom

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.