Medior Data Engineer Scala @ NIX Tech Kft. Budapest

Medior Data Engineer Scala @ NIX Tech Kft.
Budapest
Budapest, Budapest, HU

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

WHAT WE OFFER:

• Competitive compensation packages.
• Stable employment, based on a full-time employment contract.
• Private health insurance (Medicare 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.
• Active corporate life.
• The friendly and supportive atmosphere within the team.

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

• 3+ years of commercial experience in data engineering, emphasizing real-time processing.
• Proficient programming skills in Scala.
• In-depth understanding and practical experience with distributed computing approaches, patterns, and technologies, especially those related to real-time processing (e. g. , Spark Streaming, Akka Streams).
• Hands-on experience with any cloud platform (GCP, AWS, Azure) and its data-oriented components.
• Strong proficiency in Scala, SQL and query tuning.
• Expertise in data warehousing principles and modeling concepts.
• Competence in using relational databases (PostgreSQL, MSSQL or MySQL).
• Experience orchestrating data flows using tools like Apache Flink, Apache Kafka or similar technologies.
• A collaborative team player with excellent communication skills.
• Minimum English level B2.

WILL BE A PLUS:

• Expertise in stream processing using industry standards (e. g. , AWS Kinesis, Kafka Streams, Spark).
• Deep knowledge of data storage design principles and understanding of SQL/NoSQL solutions and their configurations.
• Experience in modern data warehouse building using platforms like Snowflake, AWS Redshift or BigQuery.
• Proficiency in Spark internals, including tuning and query optimization for real-time processing.
• Background in data integration and business intelligence architecture with a real-time perspective.
• Experience with data lakes and lake-houses (e. g. , Azure Data Lake, Apache Hudi, Apache Iceberg, Delta Lake).
• Familiarity with containerized (Docker, ECS, Kubernetes) or serverless (Lambda) deployment.
• Knowledge of popular data standards and formats (e. g. , JSON, Avro, ProtoBuf).
• Exposure to data science and machine learning.

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

WHAT WE OFFER:

• Competitive compensation packages.
• Stable employment, based on a full-time employment contract.
• Private health insurance (Medicare 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.
• Active corporate life.
• The friendly and supportive atmosphere within the team.

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

, [Collaborate with cross-functional teams to identify, design, and implement data processing features to meet dynamic business requirements. , Architect and maintain scalable systems for extracting, transforming, and loading data from diverse sources such as external APIs, data streams and databases. , Implement robust solutions adhering to data privacy and security standards, ensuring compliance and data integrity. , Monitor industry trends and advancements in real-time data processing, proposing and implementing changes aligned with organizational goals. , Share expertise and collaborate with teams on various data engineering and project-related topics. , Evaluate, select, and implement tools and strategies for effective real-time data integration scenarios. ] Requirements: Scala, Data engineering, Akka Streams, Spark Streaming, AWS, Azure, GCP, SQL, Database, data warehousing principles , modeling concepts, PostgreSQL, MSSQL, MySQL, Apache Flink, Apache Kafka, Communication skills, Docker, Kubernetes, AWS Kinesis, Kafka Streams, Spark, SQL/NoSQL, Snowflake, AWS Redshift , BigQuery, Azure Data Lake, Apache Hudi, , Apache Iceberg, Delta Lake, ECS, Lambda, JSON, Avro, ProtoBuf Tools: Agile, Scrum, Kanban. Additionally: International projects, Paid English courses, Mentoring program, Bike parking, Free coffee, Playroom, Shower, Free snacks, Modern office, No dress code.