Data Engineer em Lisboa, Portugal - Jobeax

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Data Engineer em Lisboa, Portugal - Jobeax

Data Engineer em Lisboa, Portugal is listed on Jobeax. Browse 30,000+ vacancies available.

We are looking for a talented Data Engineer to join a leading international energy company and contribute to the development, support, and continuous improvement of a modern data platform. This role offers the opportunity to work with cloud technologies, large-scale data environments, and cross-functional teams to deliver reliable and scalable data solutions.

Key Responsibilities

Provide operational support for the data platform, troubleshooting and resolving technical issues.
Maintain and improve data pipelines and ETL/ELT processes to ensure reliable and scalable data flows.
Collaborate with platform architects to guarantee platform performance, security, and high availability.
Optimize data processes, monitoring capabilities, and overall platform efficiency.
Support data quality frameworks and monitoring mechanisms to ensure data accuracy, consistency, and reliability.
Manage and support data lakes, data warehouses, and streaming data solutions.
Work closely with data scientists, analysts, and business stakeholders to address platform-related challenges.
Automate repetitive tasks and enhance data ingestion, transformation, and delivery processes.
Troubleshoot and optimize SQL queries and data workflows for performance and cost efficiency.
Document platform changes, operational procedures, and best practices.
Review, evaluate, and approve data product releases before deployment to production environments.

Required Skills & Experience

Proven experience working with data pipelines in production environments.
Strong expertise in SQL and distributed data processing frameworks such as Apache Spark .
Hands-on experience supporting and troubleshooting dbt, Apache Kafka, Apache Ignite, Apache NiFi, and Apache Airflow .
Proficiency in Python or Scala for data engineering and automation tasks.
Experience with AWS cloud services and cloud-based data solutions.
Knowledge of monitoring and observability tools such as Grafana .
Understanding of data governance, security, and compliance best practices in cloud environments.
Experience implementing CI/CD pipelines and testing frameworks for data workflows.
Strong analytical, problem-solving, and communication skills.
Fluent in Portuguese and English , both written and spoken.

Nice to Have

Familiarity with Dremio and Data Lakehouse architectures.
Experience provisioning and managing cloud infrastructure with Terraform .
Knowledge of Power BI On-Premises Gateway .
Experience with data catalog and governance platforms such as Collibra or Alation .
Exposure to machine learning pipelines and feature engineering processes.

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