Senior Data Engineer (Data Platform)
Core
Designing and maintaining data platform infrastructure and tooling to enable team autonomy in building pipelines while delivering reliable datasets for business analytics and AI.
Role type
Senior Data Engineer (Data Platform)
Builds
Scalable data infrastructure, pipelines, and tooling for internal teams
Domain
SaaS / Chat Marketing / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Data Engineering, Cloud infrastructure (AWS, Snowflake, Redis), SQL, Python, ETL/ELT pipeline design, Data modeling, Data warehouse architecture, DevOps (Git, CI/CD, Docker, Kubernetes), Data observability and cataloguing (dbt, Dagster, Prefect, Monte Carlo, Great Expectations, DataHub)
Preferred skills
Emerging data tools exploration, Advanced data modelling techniques
Technologies
AWS, Snowflake, Redis, dbt, Dagster, Prefect, Monte Carlo, Great Expectations, DataHub, Docker, Kubernetes, Git
Responsibilities
Design and optimize data infrastructure empowering teams to build pipelines; Explore and introduce new data tools balancing innovation with stability; Design and optimize data pipelines for ingestion, processing, and delivery; Implement monitoring, governance, and best practices for data quality and security; Partner with Analysts, ML Scientists, and Engineers to deliver structured datasets; Experiment with advanced data modelling and analytical techniques
Seniority
Senior, hands-on IC