Note: The job is a remote job and is open to candidates in USA. 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. The Staff Data Engineer will design scalable GCP-native data infrastructure, deliver high-quality data products, and support analytics, personalisation, recommendation systems, and machine learning initiatives.
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
Skills
- 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
- 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
Company Overview
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