Jobs Companies Beamery Senior Data Engineer

Sobre esta vaga de Senior Data Engineer na Beamery

Beamery · Híbrido · London, UK

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 Senior Data Engineer to build and run major parts of it.

You’ll own significant components end to end: pipelines, models, and the analytics layer. You’ll work within an architecture you’ll help improve, alongside Engineering, Product, and Design. The platform exists so everyone at Beamery can make faster decisions with data they trust.

What will you be doing at Beamery?

  • Build and run production data pipelines. Design, implement, and operate scalable ETL pipelines and storage, owning uptime and data correctness for what you ship.

  • Develop the analytics and semantic layer. Model core business metrics and feature usage signals into clean, trustworthy data products for BI, self-service, and AI consumers.

  • Make data self-service. Build the monitoring, alerting, and data-quality checks that let other teams trust and use the platform without you in the loop.

  • Raise the bar for the team. Mentor engineers and improve our patterns for coding, data modeling, and pipeline design through review and pairing.

What we’re looking for

You’re a senior data engineer who has built and operated production data platforms: warehousing, lakes, and both streaming and batch. You’ve owned pipelines through failure and fixed them properly, not just restarted them. You work autonomously, communicate clearly with technical and business audiences, and design for the change you know is coming.

Previous professional experience:

  • Data transformations using dbt

  • Data storage (SQL / NoSQL): schema design and data modeling; exposure to multi-tenant systems

  • Back-end engineering: Python (nice to have: Typescript/Node.JS)

  • Pipelines: streaming and batch, and keeping them correct as they evolve

  • Data quality and observability: testing, 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 modeling 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 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 [email protected]

Visit our Diversity, Equality and Inclusion page to learn more about progress and commitments.

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Como este salário de Data Engineer se compara

Esta vaga paga $112,210/yrabaixo da faixa típica para vagas de Data Engineer.

$112,148 a mediana $170,000 $263,100

Faixa típica $145,000–$210,525/yr, com base em 991 vagas de Data Engineer comparáveis na JobsRadar (pagamento anualizado em USD). Ver insights salariais de Data Engineer →

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