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.

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.

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 +.

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.

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.

Jelentkezésedet várjuk a(z) C15 standon!
Ha szeretnéd a profilodba menteni az állást, akkor lépj be, vagy regisztrálj itt.