beamery - Senior Data Engineer
Requirements
• 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 • 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. • 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 • 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 https://careers.beamery.com/life-at-beamery/diversity-equality-inclusion/to learn more about progress and commitments.
Responsibilities
• 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.
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