Senior Data Engineer (Scala)

Responsibilities

• Collaborate with cross-functional teams to identify, design, and implement real-time data processing features tailored to dynamic business requirements.
• Architect and maintain scalable ETL pipelines drawing data from APIs, streams, and databases.
• Implement secure, privacy-compliant solutions ensuring data integrity.
• Monitor industry trends in real-time data processing and propose aligned improvements.
• Share expertise and collaborate with teams on data engineering and project matters.
• Evaluate, select, and implement tools/strategies for effective real-time data integration.

Qualifications

• 5+ years of commercial experience in data engineering with focus on real-time processing.
• Proficient in Scala programming.
• Strong knowledge of distributed computing for real-time (e.g. Spark Streaming, Akka Streams).
• Hands-on experience with a cloud platform (GCP, AWS, or Azure) and its data components.
• Solid skills in SQL, query tuning, and relational databases (PostgreSQL, MSSQL, or MySQL).
• Experience with orchestrating data flows using tools like Apache Flink, Kafka, or similar.
• In-depth understanding of data warehousing and modeling concepts.
• Team player with excellent communication skills.
• English language proficiency at B2 level or higher.

Required Skills

• Data Analysis
• Data Modeling

Job Details

• Location: Europe - Europe
• Industry: Information & Communication Technologies
• Job Type: Full-Time
• Degree: Bachelor
• Experience: 5 - 7
• Nationality: Unspecified