Data Engineer

About this role

About Us At BGBx , we're driven by a simple idea: breakthrough thinking creates breakthrough impact. As an independent commercial solutions partner to pharmaceutical and life science companies, we bring together strategists, scientists, communicators, creatives, technologists, and data experts to tackle some of healthcare's most important challenges. Our teams work across consulting and communications to help clients shape strategy, launch innovations, engage stakeholders, and drive meaningful results throughout the product lifecycle.

The work is complex, fast-moving, and deeply connected to improving lives, creating opportunities for curious minds to make a real difference every day. If you're energized by collaboration, inspired by innovation, and motivated by work that matters, you'll find a place to grow, contribute, and make a meaningful impact at BGBx. Position Overview We are looking for a Data Engineer with 3-5 years of experience building and maintaining data pipelines.

You will develop solutions that extract, process, and transform internal and external data into reliable, usable datasets for analysis and other downstream applications. This is an engineering-focused role requiring strong coding skills, database knowledge, and experience working with modern cloud data technologies. Responsibilities Design, build, and maintain ETL/ELT data pipelines. Extract, clean, transform, and model data from internal and external sources.

Develop data solutions using Python and SQL. Work with large-scale datasets and cloud-based data infrastructure. Support data consumers, including analysts, data scientists, and product teams. Monitor pipeline health, troubleshoot failures, and optimize performance. Qualifications 3-5 years of hands-on data engineering experience building and maintaining data pipelines. Strong Python and SQL skills. Experience with at least one cloud data warehouse, such as BigQuery, Redshift, Snowflake, ClickHouse, Greenplum, or Vertica.

Familiarity with an orchestration tool such as Airflow, Dagster, Prefect, or Flyte. Cloud platform experience with GCP, AWS, or Azure. Strong database knowledge and problem-solving skills. Nice to Have Experience with BI/visualization tools such as Tableau, Looker, Power BI, Superset, or Metabase. Knowledge of data modeling concepts such as dimensional modeling or Data Vault. <li data-leveltext="" data-font="Symbol" data-listid="6" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","46977