Senior Data Engineer Python @ NIX Tech Kft.

NIX, a global supplier of software engineering and IT outsourcing services, is looking for a Senior Data Engineer Python in its office in Budapest (Vaci Greens, 13th district). You’ll be part of a team of professionals who are ready to find the best tailor-made IT solutions for their multinational clients in various industries and solve complex problems.

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!

WILL BE A PLUS :

NIX, a global supplier of software engineering and IT outsourcing services, is looking for a Senior Data Engineer Python in its office in Budapest (Vaci Greens, 13th district). You’ll be part of a team of professionals who are ready to find the best tailor-made IT solutions for their multinational clients in various industries and solve complex problems.

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!

,[Collaborate with product owners and team leads to identify, design, and implement new features to support the growing data needs., Build and maintain optimal architecture to extract, transform, and load data from a wide variety of data sources, including external APIs, data streams and data lakes., Implement data privacy and data security requirements to ensure solutions stay compliant with security standards and frameworks., Monitor and anticipate trends in data engineering and propose changes in alignment with organizational goals and needs., Share knowledge with other teams on various data engineering or project-related topics., Collaborate with the team to decide which tools and strategies to use within specific data integration scenarios.] Requirements : Data engineering, PySpark, Python, AWS, Azure, SQL, GCP, OLTP / OLAP, SCD, PostgreSQL, MSSQL, MySQL, Database, Orchestration, Airflow, Data flows, Docker, Kubernetes, Clouds, AWS Kinesis, Kafka streams, Spark / PySpark, SQL / NoSQL , Snowflake, AWS Redshift, BigQuery, Azure Data Lake, Apache Hudi, Apache Iceberg, JSON, XML, Informatica, Databricks, Talend, Fivetran 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.