Randstad Digital is currently searching for a talented Data Engineer to join the team of one of our prestigious clients.In this role, you will be responsible for designing, developing, and maintaining end-to-end data integration solutions, as well as enhancing our business intelligence (BI) and reporting capabilities. Your work will bridge the gap between disparate data systems and analytics platforms, ensuring a seamless flow of data, high data quality, and actionable insights that drive decision-making across the organization
...data engineer.
- lisboa, lisboa
- publicado hoje
- data limite 23 novembro 2025
responsabilidades chave
- Develop, optimize, and maintain scalable ETL workflows using Mulesoft Anypoint and other
tools. - Ensure reliable data extraction, transformation, and loading from multiple disparate
data sources. - Design and implement REST API-based integrations to enable seamless data exchange between applications and systems.
- Write efficient and optimized SQL queries and scripts to support data extraction,
transformation, and loading (ETL) processes. - Build, enhance, and maintain business intelligence dashboards and reports in Power BI to deliver timely, actionable insights to stakeholders.
- Lead efforts in data aggregation, cleansing, and transformation to ensure the accuracy and completeness of reports. Implement and maintain data quality observability frameworks, including pipeline monitoring, alerting, and issue resolution.
- Work closely with both business users and technical teams to understand data needs and translate them into effective, scalable integration and reporting solutions.
- Evaluate and implement streaming technologies (e.g., Kafka, AWS Kinesis) for real-time data integration and analytics where applicable.
- Monitor and troubleshoot data pipelines to ensure high availability, performance, and data accuracy.
- Develop, optimize, and maintain scalable ETL workflows using Mulesoft Anypoint and other
competências
- Demonstrated experience in working with RESTful APIs to integrate and expose data services.
- Solid expertise in SQL for querying, transforming, and managing data in relational databases.
- Experience in one or more programming languages such as Java, Python, Golang, etc.
- Deep understanding of ETL processes for batch data extraction, transformation, and loading from various data sources.
- Proficiency with Power BI (or similar BI tools) for building and maintaining reports and dashboards.
- Practical experience implementing data quality observability, including pipeline monitoring, alerting, and issue resolution to ensure data integrity.
- Experience with MariaDB and/or MySQL is a plus.
- Strong understanding of data transformation, mapping, and data quality best practices.
- Familiarity with streaming technologies like Kafka or AWS Kinesis is a plus.
principais benefícios
- Collaborate daily with colleagues from different countries and backgrounds.
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- A Randstad é a líder mundial em soluções de recursos humanos e serviços de trabalho, com mais de 65 anos de experiência no mercado. Atua como parceira estratégica para o talento e para as empresas. Está presente em mais de 39 mercados a nível global, contribuindo para desenvolver o mundo do trabalho.Pretendemos admitir um(a) Data Scientist / AI Engineer – IA Generativa para um cliente de referência em Lisboa, em regime híbrido.A Randstad é a líder mundial em soluções de recursos humanos e serviços de trabalho, com mais de 65 anos de experiência no mercado. Atua como parceira estratégica para o talento e para as empresas. Está presente em mais de 39 mercados a nível global, contribuindo para desenvolver o mundo do trabalho.Pretendemos admitir um(a) Data Scientist / AI Engineer – IA Generativa para um cliente de referência em Lisboa, em regime híbrido.
