Data Engineer (Europe Hybrid / Remote)

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Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 3+ years of experience in data engineering, software development, or related roles.
• Demonstrated success in building and maintaining scalable data pipelines and systems.
• Proficient in SQL and at least one programming language (e.g., Python, Scala, Java).
• Hands-on experience with big data tools like Spark, Hadoop, or Kafka.
• Expertise with cloud platforms (AWS, Azure, GCP) and services such as S3, Lambda, and Dataflow.
• Strong understanding of data modeling, warehousing, and architecture principles.
• Ability to work with large datasets and solve complex data challenges.
• Fluent English knowledge.

Responsibilities:

• Build, maintain, and optimize scalable ETL/ELT pipelines to process structured and unstructured data.
• Automate workflows to ingest, transform, and store data in real-time or batch processing frameworks.
• Architect and maintain cloud-based data platforms, such as Snowflake, BigQuery, or Redshift.
• Manage and optimize relational and NoSQL databases for analytics and operational needs.
• Partner with data scientists, analysts, and software engineers to deliver end-to-end data solutions.
• Translate business requirements into data models, workflows, and engineering tasks.
• Implement systems for data validation, lineage tracking, and quality monitoring.
• Monitor and enhance the performance of data systems to handle increasing scale and complexity.
• Leverage big data tools (e.g., Apache Spark, Kafka) for processing and analytics.