Data Engineer (Java & Scala)

Accountabilities:

• Design, develop, and maintain scalable data pipelines and integration solutions using Java, Scala, and big data technologies.


• Build and optimize ETL processes, ensuring efficient data movement, transformation, and storage across complex systems.


• Support system integration and data science initiatives, particularly in fraud detection, compliance, and predictive analytics domains.


• Work with distributed processing frameworks such as Hadoop and Spark to process large-scale datasets.


• Implement data mapping, validation, and quality management processes to ensure accuracy and reliability of data assets.


• Develop and maintain APIs and data exchange mechanisms using RESTful services and JSON-based structures.


• Collaborate with DevOps and engineering teams to support deployment, monitoring, and operational stability of data platforms.


• Contribute to Agile development cycles, including design discussions, estimations, and iterative delivery.


• Troubleshoot and resolve data-related issues across relational and non-relational data systems.

Requirements

• 5–7 years of experience as a Data Engineer or in a similar data-focused engineering role.


• Strong programming skills in Java and Scala, with additional knowledge of Python considered a plus.


• Solid experience with big data technologies such as Hadoop, Spark, Ab Initio, and Informatica.


• Strong understanding of ETL processes, data modeling (relational and object-oriented), and data mapping techniques.


• Experience working with RESTful APIs, JSON, and system integration workflows.


• Familiarity with DevOps practices, version control systems, and Agile methodologies.


• Knowledge of search and application technologies such as Elasticsearch, Tomcat, or Jetty is an advantage.


• Experience working on data science, predictive modelling, or detection-based systems (e.g., fraud or compliance) is highly valued.


• Strong analytical skills with the ability to identify and resolve data quality issues.


• Fluent English communication skills (C1 level) are required.


• Ability to work fully remotely within Europe and collaborate effectively in distributed teams.

• Fully remote position within Europe with flexible working arrangements.


• Opportunity to work on high-impact projects in fraud detection, compliance, and advanced analytics.


• Exposure to modern big data ecosystems and enterprise-scale data platforms.


• Collaborative Agile environment with international teams.


• Long-term assignment with competitive daily rate compensation.


• Opportunity to work with leading technologies in data engineering and distributed systems.


• Participation in complex, meaningful projects with strong real-world impact.

This listing is from ats_lever. View original listing ↗