Azure Data Engineer

1 semana atrás


Lisbon Metropolitan Area, Portugal Neotalent Conclusion Tempo inteiro

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 an Azure Data Engineer to join a strategic data team for a leading organisation in the consumer services sector. The project involves building scalable data pipelines, enabling advanced analytics, and supporting Data Engineering and Machine Learning initiatives using the Databricks platform in a cloud environment. It's an Hybrid model. What you will do: Develop, optimise, and maintain data pipelines using Databricks (Apache Spark); Implement data ingestion, transformation, and validation processes (ETL/ELT); Work with Delta Lake to ensure data quality, performance, and governance; Develop notebooks in PySpark, SQL, and optionally Scala (preferably PySpark); Integrate data from multiple sources (databases, APIs, data lakes, data warehouses); Collaborate with Data Science teams to support analytical and Machine Learning models; Ensure best practices in performance, security, and cost control; Participate in defining data architectures in cloud environments; Document technical solutions and support production deployment. What you are like: At least 2 years of work experience as a Data Engineer; Experienced in Databricks and Apache Spark; Proficient in Python (PySpark) and SQL programming; Skilled in working with cloud environments (Azure); Solid understanding of data modelling and concepts of Data Lake/Data Warehouse; Comfortable with building and managing data pipelines for large-scale datasets; Fluency in English. Why join us Work on challenging projects for big clients Learn more about emerging technologies Possibility of working remotely Design your career plan Access to continuous training and certifications Evolve through our internal mobility program … and much more


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