Design, develop, and optimize data pipelines to ingest and process large datasets from multiple systems
Build and maintain our analytical data warehouse using ClickHouse
Develop and orchestrate workflows using Apache Airflow/Dagster, dbt, Python
Collaborate with data analysts, engineers, and product teams to ensure reliable and well-structured data
Oversee end-to-end technical design, quality, and long-term scalable, reliable data pipelines and analytics platforms
Improve the reliability and maintainability of the platform through better data quality checks, testing, monitoring, and observability
Help identify and remove technical blockers during development cycles and support teammates in solving complex technical challenges
Contribute to improving engineering practices and introducing scalable solutions across the data platform
Document data pipelines, best practices, and processes to support knowledge sharing within the team
Foster a culture of knowledge sharing, mentorship, and continuous learning within the team.

7+ years of experience in data engineering or a related role
Strong expertise in Python, SQL, and data modelling
Experience with performance tuning and query optimization
Hands-on experience with tools such as ClickHouse, Airflow/Dagster, dbt, Spark or other distributed processing tools
Strong understanding of ETL/ELT pipelines, data warehousing principles, and distributed data processing
Experience working with large datasets and optimizing analytical workloads
Experience with data quality monitoring, logging, alerting, and governance standards.

Senior Data Engineer

Key skills