Build and optimize scalable data pipelines and workflows, ensuring data quality, reliability, and performance
Design and implement best practices for data modeling, ETL/ELT processes, and data integration across diverse systems
Own the backlog of the team along with the other team members and give your best in delivering towards agreed goals and objectives
Collaborate with members of other teams that build applications and platforms
Monitor the impact of delivered solutions and drive improvement through your actions and continuous learning

3+ years of experience in Data Engineering, having built Data solutions and products (e.g. Data Lake, Data Warehouse, pipelines)
Familiarity with AWS
Great communication skills and enthusiasm to collaborate with stakeholders and other members of the organisation
Comfort working in ambiguity — moving quickly with limited resources, but clear intent.
Background in startups or high-growth environments.
Experience in B2B environments
Experience with Agile methodologies

Data Engineer

Key skills