Senior Data Engineer

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 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 we're looking for

We are looking for a senior data engineer with significant experience in building and maintaining data platforms based around dbt, tailored for internal and external use. The ideal candidate has a proven track record of designing robust data architectures, including data warehousing, data lake implementations, and both real-time and batch processing systems.

As a technical leader, you are adept at mentoring and guiding engineering teams, fostering the adoption of best practices while promoting continuous improvement. You have a deep understanding of data architecture, schema design, and the challenges involved in building data-intensive applications that are scalable, highly available, and fault-tolerant. You are experienced in driving modernisation initiatives, including the migration of legacy systems to modern platforms, and can balance the introduction of new technologies with the need to manage risk effectively.

You are comfortable operating in production: diagnosing issues, reasoning about how a single upstream failure can cascade through downstream systems and customer-facing outputs, and making sound judgment calls about remediation under time and customer pressure. You understand the tradeoffs involved in designing data systems for scale and reliability, including how to keep large, multi-tenant, and distributed data systems consistent, isolated, and trustworthy.

Previous professional experience with the following:

Data and software engineering experience implementing and maintaining backend systems to build reliable data infrastructures covering some of the following concepts:

• Data transformations using dbt

• Data storage technologies (SQL / NoSQL)

  schema design and multi-tenant data isolation

• Back-end engineering (NodeJS / Python / Java / C#)

• Data Pipelines

  experience with streaming and CDCs

• Data Modelling (SQL)

  Data validation and quality assurance practices

  Cloud-native, containerised, or automated batch processing systems

• Monitoring & Alerting

• Incident response and RCA for data systems

• Infrastructure as code (Terraform)

• Containerisation (Docker, Kubernetes)

• Communication. Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to Product and Engineering Teams as well as business audiences.

Our Data Stack

Here’s what our data stack currently looks like. As a fast-moving scale up, this will change as we grow and you will be directly contributing to these changes. The ability to learn new tools is more important than previous experience.

• DBT for data modelling and transformation

• BigQuery data warehouse

• Kafka for data streaming between systems

• PostgreSQL & Mongo for databases

• 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 accommodations@beamery.com

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