Senior Data Integration Engineer (Databricks)

We are looking for an experienced Senior Data Integration Engineer specializing in Databricks to join our team. As a key member of the team you will lead the design of enterprise digital products and platforms that deliver value to users and achieve business goals. You will collaborate with various stakeholders and contribute to creating engaging and delightful solutions by leveraging your design skills and methods. Come and join us to promote the role of design and achieve positive design outcomes.

• Develop maintain and support ETL/ELT solutions
• Implement and manage Databricks on Microsoft Azure or AWS Cloud platforms
• Use SQL PySpark or Scala to transform and analyze large datasets
• Own end-to-end delivery of data ingestion transformation pipelines on Azure Databricks
• Works independently with minimal supervision
• Mentoring junior engineers
• Work collaboratively with the team on Microsoft Power BI
• Ensure the adherence to best practices in development testing and deployment
• Create technical documentation related to the project

• At least 5 years of experience and strong experience in Data Integration proficient in Databricks and ETL/ELT Solutions
• Strong SQL/Python data modeling fundamentals (dimensional / Lakehouse modeling) incremental processing data transformation and analysis
• Experience with Delta Lake concepts (tables partitions schema evolution)
• Familiarity with cloud platforms (Azure AWS)
• Have hands-on experience developing data pipelines on Databricks integrating data from multiple sources and working closely with analytics data science and business teams to deliver reliable high-quality data products
• Knowledge of data ingestion techniques and data integration best practices
• Orchestration experience (Databricks Workflows; ADF/Airflow is a plus)
• Excellent verbal and written communication skills in English
• No visa sponsorship available

• Bachelors degree ideally in Computer Science Information Technology or a related discipline