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Who are we: Neotalent Conclusion is one of the leading Iberian specialists providing services in Information Technology and Engineering services. As part of the Netherlands-based organization Conclusion, which has an ecosystem of over 25 companies and 3,600 employees, we are focused on increasing the technological capacity of our clients and the digital transformation of their application ecosystems. We are talent specialists, attracting the best people and combining them with the needs of the most ambitious projects, at the right time. Our success comes from our investments in innovation, our focus on results, and, above all, the guarantee that our people will have happy and rewarding careers. With over 25 years of solid experience, Neotalent Conclusion has established its presence in key locations, including Lisbon, Porto, and Madrid. The company currently has more than 950 professionals in the different areas in which it operates. Neotalent, the responsive people. Find out more about us at . Role Overview: We are looking for a Data Engineer (Azure) to join one of our biggest clients, a leading technology solutions provider specialized in driving digital transformation and innovation for major international players across industries. If you are passionate about building scalable data platforms, working with cutting-edge cloud technologies, and enabling organizations to unlock the value of their data, this is the right opportunity for you. What you will do: • Design, build, and maintain scalable and high-performance data platforms. • Collect, process, and analyze large and complex datasets from multiple sources. • Develop and implement data processing workflows using frameworks such as Spark or Apache Beam. • Collaborate with cross-functional teams to ensure data accuracy, consistency, and availability. • Guarantee data security and privacy by implementing robust access controls and encryption. • Extract and integrate data from diverse sources including databases, file systems, and APIs. • Monitor and optimize system performance to ensure high availability and scalability. What you are like: • Solid academic background in Computer Science, Engineering, or related fields. • Proven professional experience in Data Engineering (+3), with strong knowledge of Azure services. • Proficiency in programming languages such as Python, Java, or Scala . • Experience with Big Data tools (Spark, Flink, Kafka, Elastic Search, Hadoop, Hive, Sqoop, Flume, Impala, Kafka Streams/Connect, Druid, etc.). • Strong knowledge of data modeling and database design (SQL and NoSQL). • Familiarity with ETL/integration tools (e.g., Apache Kafka, Talend). • Solid understanding of distributed systems and modern data architectures. • Hands-on experience with version control tools (e.g., Git). • Plus: Exposure to other cloud platforms (AWS, GCP) and certifications in Data Engineering or Azure. Why join us: • Work on challenging projects for major international clients. • Learn and grow with emerging technologies in the data ecosystem. • Hybrid work model with flexibility. • Define and shape your career path. • Access continuous training and certifications. • Explore opportunities through our internal mobility program. • … and much more