Medior Data Engineer @

We are looking for a Data Engineer to join our team and take part in building and maintaining data pipelines using modern technologies. You will work on cloud-based solutions (AWS, GCP, Azure), contributing to data integration, transformation, and delivery processes across diverse client projects. The role involves applying established best practices to ensure performance, reliability, and scalability of data workflows.

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

AWS : Glue, Athena, Lambda, DMS, ECS, EMR, Kinesis, S3, RDS

Nice to Have

We are looking for a Data Engineer to join our team and take part in building and maintaining data pipelines using modern technologies. You will work on cloud-based solutions (AWS, GCP, Azure), contributing to data integration, transformation, and delivery processes across diverse client projects. The role involves applying established best practices to ensure performance, reliability, and scalability of data workflows.

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

,(Design, build, and maintain robust ETL / ELT pipelines using tools such as Databricks, Apache Spark, dbt, and Snowflake., Ingest and process data from APIs, message queues, relational databases, and files into a cloud-based data platform., Schedule and orchestrate workflows using Apache Airflow or cloud-native alternatives., Enable querying and analytics on large-scale data using data warehouses and SQL engines (e.g., Snowflake, BigQuery, Redshift)., Operate across major cloud platforms (AWS, GCP, Azure) and leverage their native data engineering services.) Requirements : Python, Databricks, Snowflake, SQL, Relational databases , AWS, GCP, Azure, Data Engineer, Scala, Delta Lake, Apache Iceberg, NoSQL databases , CI / CD, ECS, Cloud Run, AKS, Lambda, dbt Cloud / Core 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.