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

The Data Engineering Team at Beamery is collaborating with stakeholders across the company to enable faster and better decision-making, helping us serve more customers with continuously improving solutions. We ingest data from multiple sources into a centralised data infrastructure, combine it to generate meaningful reports, and deliver powerful insights that empower everyone to excel in their roles.

We are expanding our team and seeking a Senior Data Engineer in data who is passionate about solving complex problems in data processing and modelling. This role offers the opportunity to enhance our newly built data platform, a key initiative that will support Beamery's ambition to provide best-in-class self-service capabilities around reporting and underpin our AI strategy.

In this role, you'll leverage state-of-the-art technologies and develop innovative methods to derive actionable data for our stakeholders and customers. You'll play a pivotal part in enabling our product teams to generate insights that drive business success and enhance user experiences across Beamery and beyond.

Working closely with stakeholders from our Engineering, Product, and Design (EPD) departments, you'll directly contribute to creating world-class experiences for both internal and external customers. This is an exciting role that will stretch your knowledge and curiosity, offering you the chance to learn new skills and collaborate with a team of highly skilled and motivated data professionals. Join us as we build a future-ready data platform that will be the backbone of our reporting and AI capabilities, driving Beamery's success in delivering exceptional value to our customers.

For a senior data engineer, the expectations and responsibilities would naturally involve more leadership, strategic thinking, and technical ownership. Here’s an expanded version of the job spec with a focus on senior-level duties and expectations:

What will you be doing at Beamery?

• 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