Senior Data Engineer (Databricks / Azure)
We are looking for a Senior Data Engineer to modernize data environments for the project, focusing on cloud and lakehouse solutions using Databricks and Microsoft Azure. You will lead scalable pipeline delivery, data migration, and governance while partnering with technical and business teams—apply now to help build a reliable modern data platform.
Responsibilities
- Design scalable batch and streaming data pipelines
- Deliver data migration initiatives from on-premises to cloud or between platforms
- Develop and optimize data solutions using Databricks and Apache Spark
- Build ETL/ELT processes aligned with data engineering best practices
- Elicit requirements with technical and business teams in a consulting context
- Ensure data quality, governance, and security across platforms
- Monitor and optimize cloud performance and cost
- Troubleshoot and resolve production pipeline issues
- Document architectures, technical processes, and migration strategies
Requirements
- 3+ years of experience as a Data Engineer
- Proven consulting experience working with clients and stakeholders
- Hands-on experience with data migration projects (legacy to cloud or platform-to-platform)
- Strong Databricks experience for development and optimization
- Strong Microsoft Azure knowledge including Azure Data Factory, ADLS, Synapse Analytics, and Azure SQL
- Advanced SQL skills and data modeling knowledge
- Proficiency in Python or Scala for data engineering workloads
- Upper-Intermediate English proficiency (B2, upper-intermediate)
- Strong analytical and solution-oriented mindset
- Clear communication skills and teamwork focus
- Proactive attitude with strong ownership mindset
Nice to have
- Databricks certification
- CI/CD experience for data pipelines
- Infrastructure as Code skills with Terraform or ARM
- Spark performance tuning experience
- Familiarity with Azure DevOps, Power BI, Kafka, or Unity Catalog
