Medior/Senior Data Engineer

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

Main goals and 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 on which tools and strategies to use within specific data integration scenarios.

Required skills:

  • 4+ years of proven experience developing software using an object-oriented or a functional language;
  • strong programming skills in Python or Scala;
  • proficient with stream processing using the current industry standards (e.g. AWS Kinesis, Kafka streams, Spark/PySpark, Flink, etc.);
  • solid with distributed computing approaches, patterns, and technologies (Spark/PySpark. Hadoop, Storm, Hive, Beam as a plus);
  • experience working with Cloud Platforms (GCP, AWS, Azure) and their data-oriented components;
  • proficiency in SQL and query tuning;
  • understanding of data warehousing principles and modeling concepts (knowledge of data model types and terminology including OLTP/OLAP, (De)normalization, dimensional, star, snowflake modeling, cubes, and graph/NoSQL);
  • proven experience in modern data warehouse building using Snowflake, AWS Redshift or BigQuery;
  • expertise in the use of relational databases (PostgreSQL, MSSQL or MySQL)  as well as  non-relational (MongoDB);
  • experience with orchestration of data flows (Apache Airflow, Talend, Glue, Azure Data Factory);
  • a team player with excellent collaboration skills;
  • english level intermediate +.

Would be a plus:

  •  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);
  •  deep knowledge of Spark internals (tuning, query optimization);
  •  experience with data integration and business intelligence architecture;
  •  experience with data lakes, data 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 Informatica, Databricks, Talend, Fivetran, or similar;
  •  experience in data science and machine learning with building Machine Learning models.

What we offer:

  • Stable long-term work environment
  • Paid English courses and conversation clubs
  • Opportunities for professional and personal growth
  • Mentoring program, internal and external professional training programs
  • Comfortable office in Budapest (Vaci Greens)
  • Every necessary tool and device in the office will be provided to comfortably perform all project tasks: computers, meeting rooms, spacious modern kitchens with professional coffee machines, comfortable recreation areas with game consoles, board games, and a selection of literature for every taste
  • Support and care from our friendly team

If you feel you’re ready to join this team, email your resume to [email protected] or fill out a resume form now, and put an online interview on your schedule at your convenience. We’re already looking forward to meeting you!

Important! Please send your resume only in English.