Were looking for brilliant data engineers to join our rapidly growing team.
You will join a team consisting of senior software and data engineers that drive our data platform from data acquisition, to processing and enrichment and all the way to business insights. You will join an early stage team and company and will have a major impact on the decisions and architecture of our various products.
Responsibilities
Design and build data acquisition pipelines that acquire, clean, and structure large datasets to form the basis of our data platform and IP
Design and build data pipelines integrating many different data sources and forms
Define architecture, evaluate tools and open source projects to use within our environment
Develop and maintain features in production to serve our customers
Collaborate with product managers, data scientists, data analysts and full-stack engineers to deliver our product to top tier retail customers
Take a leading part in the development of our enterprise-grade technology platform and ecosystem
Harmonize and clean large datasets from different sources
Requirements: At least 6 years of experience in software engineering in Python or an equivalent language
At least 3 years of experience with data engineering products from early-stage concept to production rollouts
Experience with cloud platforms (GCP, AWS, Azure), working on production payloads at large scale and complexity
Hands-on experience with data pipeline building and tools (Luigi, Airflow etc), specifically on cloud infrastructure
Advantage: Hands-on experience with relevant data analysis tools (Jupyter notebooks, Anaconda etc)
Advantage: Hands-on experience with data science tools, packages, and frameworks
Advantage: Hands-on experience with ETL Flows
Advantage: Hands-on experience with Docker / Kubernetes
This position is open to all candidates.