Data Engineer

Há 19 horas

Lisboa, Lisboa, Portugal Randstad Tempo inteiro

Randstad Digital is currently searching for a 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.

Responsibilities:

  • 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.

Skills:

  • 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.

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