Senior Data Engineer

As a  Senior   Data Engineer , you’ll play a key role in  building modern, scalable, and high-performance data solutions  for our clients. You’ll be part of our growing Data & AI team and work hands-on with leading data platforms, supporting clients in solving complex data challenges.

Your Job’s Key Responsibilities Are:

• Designing, developing, and maintaining robust  data pipelines using Databricks, Google BigQuery (Dataflow, Dataform or similar), Spark, and Python
• Building efficient and scalable ETL/ELT  processes to ingest, transform, and load data from various sources (databases, APIs, streaming platforms) into cloud-based data lakes and warehouses
• Leveraging ecosystems such as Databricks  (SQL, Delta Lake, Workflows, Unity Catalog)  or Google BigQuery   to deliver reliable and performant data workflows
• Integrating with  cloud services   such as  Azure, AWS, or GCP  to enable secure, cost-effective data solutions
• Contributing to  data modeling and architecture decisions  to ensure consistency, accessibility, and long-term maintainability of the data landscape
• Ensuring data quality through  validation processes  and adherence to  data governance policies
• Collaborating with data scientists and analysts  to understand data needs and deliver actionable solutions
• Staying up to date  with advancements in data engineering and cloud technologies to continuously improve our tools and approaches