Senior Data Engineer

As a Data Engineer, you'll play a key role in building modern, scalable, and high-performance data solutions for our clients.

You will 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.