Medior Data Engineer Python

NIX, a global supplier of software engineering and IT outsourcing services, is looking for a Medior 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.

Responsibilities:

• 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.

What we expect from you:

• Commercial experience 3+ years in data engineering.
• Strong programming skills in Python.
• Solid with distributed computing approaches, patterns, and technologies (PySpark).
• Experience working 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.

Will be a plus:

• Expertise in stream processing using the current industry standards (e.g., AWS Kinesis, Kafka streams, Spark/PySpark, etc.).
• 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.

What we offer:

• Competitive compensation packages.
• Stable employment, based on a full-time employment contract.
• Private health insurance (Medicover 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.
• Friendly, motivating atmosphere.
• Active corporate life.

If you feel you’re ready to join the team, apply for this job now! We’re already looking forward to meeting you!