Staff Data Engineer

Data Engineer – GCP / Machine Learning / Data Products

Overview

• Velocity Tech is partnering with an innovative, product-led organisation focused on building data-driven systems that power behavioural insights and machine learning at scale.
• They are looking for a Data Engineer to play a key role in shaping and delivering a GCP-native data platform, enabling rapid experimentation, high-quality data products, and continuous improvement across machine learning initiatives.
• This is an opportunity to work alongside top-tier engineers and data scientists, building systems that directly influence user outcomes through intelligent, personalised data solutions.

• The Role
• The Data Engineer will own and drive data strategy within a squad, designing scalable infrastructure and delivering high-impact data products that support advanced analytics and machine learning models.
• You’ll work in a highly collaborative, fast-paced environment focused on iteration, experimentation, and measurable impact, contributing to systems that evolve and improve over time.

• Key Responsibilities
• Design and implement scalable, GCP-native data architectures to support machine learning and analytics
• Build high-quality data products that enable continuous learning from predictions and user behaviour
• Develop data pipelines and ingestion strategies using tools such as Pub/Sub, Datastream, and Dataflow
• Enable personalisation and recommendation systems through rich, contextual data
• Drive rapid iteration by delivering modular, reusable data solutions
• Collaborate with engineering, product, and data science teams to define and evolve data capabilities
• Establish metrics and frameworks to measure algorithm performance and continuous improvement
• Champion best practices across data modelling, governance, and architecture within the squad

• Key Skills & Experience
• Strong background in data engineering, building and scaling production-grade data systems
• Expert-level proficiency in Python and SQL for data transformation and analysis
• Deep experience with the GCP data ecosystem, including BigQuery, Dataform, Cloud Dataflow, and Composer (Airflow)
• Experience designing data products (not just pipelines) with a focus on long-term value and domain ownership
• Strong understanding of data architecture, including transactional systems, ODS, and data warehouses
• Experience with real-time and high-throughput data ingestion (e.g. Pub/Sub, CDC pipelines)
• Ability to navigate ambiguity, make decisions, and operate autonomously within a squad model
• Proven experience collaborating across cross-functional teams in fast-paced environments

• Nice to Have
• Experience with recommendation systems or personalisation engines
• Exposure to data governance and tooling (e.g. Dataplex)
• Experience modernising legacy data systems and optimising complex SQL logic