Who are we?
Billigence is a boutique data consultancy with global outreach & clientele, transforming the way organizations work with data. We leverage proven, cutting-edge technologies to design, tailor, and implement advanced Business Intelligence solutions with high added value across a wide range of applications from process digitization through to Cloud Data Warehousing, Visualisation, Data Science and Engineering, or Data Governance. Headquartered in Sydney, Australia with offices around the world, we help clients navigate difficult business conditions, remove inefficiencies, and enable scalable adoption of analytics culture.
About the role:
We’re looking for a Lead Data & Analytics Engineer to join a leading Biosciences client in the US on a contact-to-hire basis. This role requires strong expertise in Python and SQL, preferably with experience in dbt, Snowflake, and Airflow, to help build scalable data pipelines and implement transformation logic within a modern data platform environment.
This is a hands-on, client-facing role where you will collaborate closely with cross-functional teams to deliver robust, reusable, and governed data solutions that enable analytics, reporting, and data science capabilities.
This is a hands-on consulting engagement focused on designing and delivering robust, reusable, and governed data solutions. You will work closely with data engineering, analytics, and governance teams to ensure high-quality, auditable data workflows that power reporting, analytics, and data science initiatives.
What we’re looking for:
- Data engineers passionate about building scalable and efficient data pipelines.
- Professionals confident in implementing transformation logic using dbt.
- Engineers experienced in integrating multiple data sources via APIs, file systems, and databases.
- Individuals skilled at embedding data validation, monitoring, and documentation best practices.
- Strong communicators comfortable working in dynamic, client-facing environments.
What you’ll need:
- Proven hands-on experience with Python and SQL.
- Familiarity with dbt for data transformation and pipeline orchestration.
- Experience working with Snowflake or other cloud data platforms.
- Knowledge of workflow orchestration tools like Apache Airflow.
- Strong understanding of data validation, monitoring, and data governance principles.
- Bonus: Experience with data pipeline frameworks such as DLT or similar.
Inclusion and equal opportunities:
We are always on the lookout for talented individuals to join our team at Billigence. We are an equal-opportunity and inclusive employer and are committed to creating an inclusive environment for all applicants and employees. We will consider all applicants for employment without regard to race, ethnicity, national origin, religion, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status.
Got any questions?
For any questions related to the application process, please contact [email protected]
