We are seeking a Senior Data Engineer to lead the design and implementation of scalable data pipelines using Databricks, Snowflake , cloud-native services, and distributed data processing frameworks. You will work across various cloud platforms (AWS, GCP, Azure), contributing to architecture decisions and the adoption of lakehouse patterns . The role involves technical leadership on client projects, ensuring adherence to best practices in data modeling, pipeline orchestration, security, and performance optimization.
WHAT WE OFFER :
If you feel you’re ready to join the team, apply for this job now! We’re already looking forward to meeting you!
For Databricks : familiarity with Jobs , Workspaces , Notebooks , Unity Catalog , and Spark internals .
AWS : Glue, Athena, Lambda, DMS, ECS, EMR, Kinesis, S3, RDS
Bonus Points
We are seeking a Senior Data Engineer to lead the design and implementation of scalable data pipelines using Databricks, Snowflake , cloud-native services, and distributed data processing frameworks. You will work across various cloud platforms (AWS, GCP, Azure), contributing to architecture decisions and the adoption of lakehouse patterns . The role involves technical leadership on client projects, ensuring adherence to best practices in data modeling, pipeline orchestration, security, and performance optimization.
WHAT WE OFFER :
If you feel you’re ready to join the team, apply for this job now! We’re already looking forward to meeting you!
Architect and maintain end-to-end data pipelines (batch and streaming) using tools such as Databricks, Apache Spark, Snowflake, and dbt., Implement lakehouse architectures using technologies like Delta Lake, Apache Iceberg, and Parquet on cloud storage., Design and manage ingestion workflows from APIs, event streams, databases, and cloud storage using native services., Optimize data solutions for performance, reliability, cost, and scalability across different cloud environments., Lead and mentor mid-level and junior engineers, and collaborate with cross-functional teams across engineering, product, and analytics.] Requirements : Data Engineer, Cloud-based pipelines , Distributed processing, Dimensional modeling, Python, SQL, OLTP / OLAP, SCDs, AWS, GCP, Azure, Scala, Databricks, Snowflake, Streaming architectures, NoSQL , CI / CD Tools : Agile, Scrum, Kanban. Additionally : International projects, Paid English courses, Mentoring program, Bike parking, Free coffee, Playroom, Shower, Free snacks, Modern office, No dress code.
Senior Data Engineer • Budapest, Hungary