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


  • Leading and mentoring a team of data engineers
  • Participating in the recruitment process to select new team members
  • Leading the development of data engineering solutions
  • Accurately estimating time and resources for new projects
  • Providing technical oversight and guidance to the team
  • Evaluating team performance and providing feedback and coaching
  • Encouraging collaboration and open communication within the team and with other stakeholders
  • Promoting a culture of continuous learning and improvement
  • Managing team resources and identifying potential issues or bottlenecks

What we expect from you:

  • Strong leadership and mentoring skills
  • Experience in recruiting and building a team
  • Experience with designing data pipelines and building ETL processes
  • Ability to accurately estimate time and resources for projects
  • Strong technical skills in code review, architecture, and data models
  • Excellent communication and collaboration skills
  • Ability to identify and address performance issues and recognize high performers
  • Passion for continuous learning and improvement
  • Ability to manage timelines and deadlines while ensuring high-quality work.

Required skills:

  • 6+ years of proven experience developing software using an object-oriented or a functional language;
  • Strong programming skills in Python or Scala/Java;
  • 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;
  • Deep knowledge 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;
  • Minimum English level Upper +.

Will 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 the 13th district of Budapest
  • 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
Munakvégzés helye: 1138 Budapest, Föveny u. 4-6.