Senior Data Engineer @ NIX Tech Kft.

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 :

• Competitive compensation packages.
• Stable employment, based on a full-time employment contract.
• Private health insurance (Medicare Сlinic).
• AYCM sport pass, providing discounts at various sports facilities in Hungary.
• Interesting tasks and diverse opportunities for developing your skills.
• Free training courses, including English.
• Participation in internal and external thematic events, technical conferences.
• A spacious office in the heart of Budapest (13th district).
• All necessary devices and tools for your work.
• Active corporate life.
• The friendly and supportive atmosphere within the team.

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.