Middle/Senior Data Engineer Python

The stable development of a specialist is possible only if his team is stable. At NIX, we are looking for Middle/Senior Data Engineer Python, and we are sure that such a specialist will continue to grow professionally and will be able to reach new career heights.

We are looking for a contractor who, if necessary, is ready to independently relocate to Hungary, Budapest.


  • 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.


  • Commercial experience 4+ years in data engineering.
  • Strong programming skills in Python.
  • Solid with distributed computing approaches, patterns, and technologies (PySpark).
  • Experience with any cloud platform (GCP, AWS, Azure) and its data-oriented components.
  • Proficiency in SQL and query tuning.
  • Understanding of data warehousing principles and modeling concepts (e.g., knowledge of data model types and terminology including OLTP/OLAP, SCD, (de)normalization, dimensional, star/snowflake modeling, etc.).
  • Expertise in the use of any listed relational databases (PostgreSQL, MSSQL or MySQL).
  • Experience with the orchestration of any data flows (e.g., Apache Airflow, Prefect, Glue, Azure Data Factory).
  • A team player with excellent collaboration skills.
  • Minimum English level B2.


  • Expertise in data storage design principles. Understanding of pros and cons of SQL/NoSQL solutions, their types, and configurations (standalone/cluster, column/row-oriented, key-value/document stores).
  • Experience in modern data warehouse building using Snowflake, AWS Redshift or BigQuery.
  • Deep knowledge of Spark internals (tuning, query optimization).
  • Experience with data integration and business intelligence architecture.
  • Experience with data lakes and lake-houses (Azure Data Lake, Apache Hudi, Apache Iceberg, Delta Lake).
  • Experience with containerized (Docker, ECS, Kubernetes) or serverless (Lambda) deployment.
  • Good knowledge of popular data standards and formats (e.g., JSON, XML, Proto, Parquet, Avro, ORC, etc.).
  • Experience with Platforms: Informatica, Databricks, Talend, Fivetran or similar.
  • Experience in data science and machine learning with building Machine Learning models.


  • Competitive compensation packages.
  • Private health insurance (Medicover), which covers immediate family members.
  • AYCM sport pass, providing discounts at various sports facilities in Hungary.
  • Interesting tasks and diverse opportunities for developing your skills.
  • Free training courses.
  • 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.
  • Free coffee and cookies 24/7.

To start a successful career with NIX, send your resume to jobs@nixsolutions.com. We will be happy to overcome new professional challenges together with you!