Data Engineer (W2 ONLY)

We are building the industry’s most advanced Data Analytics capability. Join a green-field opportunity to take responsibility for developing Cloud Native Data Science and Business Intelligence capability. The role includes: • Managing and expanding our Data Warehouse solution which leverages Snowflake, Dagster, Arrow-based streaming and Delta Lake (delta-rs) • Ensure resilient data pipelines supporting API, SFTP, Database and Streaming sources • Supporting Business Intelligence solutions built on Snowflake, Power BI and AWS based technologies such as S3 and Lambda for enterprise clients • Working closely with our Data Science team to implement machine learning, forecasting and simulation models • Working closely with Senior Management to develop metrics, reporting and analysis solutions that deliver data driven insights • Implementing Data Governance best practices • Implementing automated quality assurance best practices Qualifications required: • A Bachelor’s degree in Computer Science or other technical field and 5 years experience with AWS and Data Pipeline development • Data Lake (Delta-rs) Dagster/PyArrow, Polars, ECS experience. • Strong knowledge of data warehousing methodologies and data modelling concepts. The following technical experience is a strong plus • Dagster (or Airflow) for Orchestration and ETL solutions • Data ingestion with Arrow libraries such as ADBC, Arrow-ODBC and PyArrow • Data processing with Polars data frames • Scaling with ECS • Data persistence with Delta Lake (delta-rs) • Experience with AWS cloud-based data technologies for developing data pipelines and coding proficiency in Python • Experience with data visualization tools such as QuickSight or Power BI • The ability to explain complex technical material to nontechnical audiences