Data Engineer – Databricks Lakehouse Platform

About the role

Our client, a global leader in animal‑health technology and services, is looking for a Data Engineer to join the Data Platform team. You will help build and operate a governed, analytics‑ready lakehouse that ingests operational data, applies shared business rules and provides a trusted source of truth for internal and customer‑facing reporting.

Key responsibilities

• Design, develop and maintain end‑to‑end data pipelines from ingestion through dimensional modeling to consumption‑ready facts and dimensions.
• Implement and monitor batch, incremental and streaming pipelines using Databricks, Delta Live Tables and related technologies.
• Collaborate with senior engineers to deliver reliable, well‑tested data products that support strategic business goals.
• Translate business rules into trustworthy metrics for BI and reporting consumers.

Required profile

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science or related field, or equivalent experience.
• Minimum 3 years of hands‑on data engineering experience building production data pipelines.
• Strong verbal and written communication skills, able to explain technical concepts to both technical and non‑technical audiences.

Required skills

• Proficient SQL (window functions, MERGE/upsert, incremental processing).
• Python for data ingestion, orchestration and pipeline tooling.
• Apache Spark and Delta Lake (or comparable lakehouse technology).
• Dimensional modeling (facts, dimensions, slowly‑changing dimensions).
• Experience with Databricks platform (Delta Live Tables, serverless SQL warehouses, Unity Catalog, job orchestration).
• Familiarity with Kafka, Terraform, Power BI is a plus.