Data Engineer (Java & Scala)

Jobgether • United Kingdom

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Design and build scalable data pipelines using Java, Scala, and big data technologies for fraud detection and compliance systems. Process large-scale datasets with distributed frameworks like Hadoop and Spark while ensuring data quality and reliability. Collaborate with multidisciplinary teams in an Agile environment to transform raw data into actionable insights.

Key Highlights

Fully remote position within Europe

Focus on fraud detection, financial crime prevention, and regulatory compliance

5-7 years of experience required in data engineering

Key Responsibilities

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

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Technical Skills Required

Java Scala Python Hadoop Spark Ab Initio Informatica ETL processes Data modeling RESTful APIs JSON DevOps Elasticsearch Tomcat Jetty

Benefits & Perks

Fully remote position within Europe with flexible working arrangements

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

Long-term assignment with competitive daily rate compensation

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Nice to Have

Knowledge of search and application technologies such as Elasticsearch, Tomcat, or Jetty

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

Job Description

This role offers the opportunity to contribute to large-scale, data-driven initiatives in a fully remote European environment, focusing on high-impact domains such as fraud detection, financial crime prevention, regulatory compliance, and advanced customer analytics. You will design and build robust data pipelines and integration systems that support predictive modelling and real-time decision-making across complex enterprise environments. Working with modern big data technologies, you will help transform raw and structured data into reliable, actionable insights that directly support business and risk functions. The position combines software engineering excellence with analytical thinking, requiring strong expertise in distributed systems and data processing frameworks. You will collaborate with multidisciplinary teams in an Agile environment, contributing to both system design and continuous improvement initiatives. This is a high-responsibility role ideal for engineers passionate about scalable data platforms, quality-driven development, and advanced analytics use cases.

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