Distributed Cloud | Cloud Data Engineer Lisboa

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Company Description

At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #Techfor
People. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our +10. 000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better.

Job Description

We are searching for an experienced and versatile Cloud Data Engineer to join our data team. You will be responsible for designing, building, and optimizing robust, scalable, and highly available data pipelines and ETL/ELT solutions in leading cloud environments (AWS, GCP, Azure). This role requires a strong focus on data quality, automation, and performance optimization across the data lifecycle.

• Design, build, and maintain scalable data pipelines and ETL/ELT processes using modern
  - native services and technologies (e. g. , Data
  Flow, Glue, Data Factory, etc. ).
• Develop and optimize data infrastructure in cloud environments to ensure reliable,
  - speed data ingestion and processing.
• Implement data quality checks, monitoring, and validation to ensure accuracy and integrity of data across all systems.
• Collaborate closely with Data Scientists and Data Analysts to ensure data readiness for reporting, analytics, and machine learning initiatives.
• Automate deployment, monitoring, and testing of data infrastructure and pipelines using Infrastructure as Code (Ia
  C) and CI/CD practices.
• Manage and optimize cloud data storage solutions (e. g. , data lakes, data warehouses) for performance and cost efficiency.
• Provide technical guidance and recommendations on data architecture and technology choices in a
  - cloud context.

Qualifications

• 3+ years of proven experience as a Data Engineer, Cloud Engineer, or a similar role focused on building
  - grade data pipelines.
• Mandatory
  - on experience with cloud data services across at least two major platforms (e. g. , AWS, GCP, or Azure).
• Examples of valued services: Big
  Query/Dataflow/Dataproc (GCP), EMR/Glue/Redshift (AWS), or Data Factory/Synapse (Azure).
• Strong proficiency in SQL and extensive experience with data warehousing concepts and technologies.
• Expertise in at least one programming language commonly used for data engineering (Python is highly preferred).
• Experience with Infrastructure as Code (Ia
  C) tools like Terraform for automating data infrastructure deployment.
• Solid understanding of distributed systems, data modeling techniques, and ETL/ELT frameworks.
• Excellent analytical and
  - solving skills, with a passion for continuous learning and data governance.

Preferred Skills

• Experience with streaming data technologies (e. g. , Kafka, Pub/Sub, Kinesis).
• Knowledge of containerization and orchestration (Docker, Kubernetes).
• Relevant cloud certifications (e. g. , Google Certified Professional Data Engineer, AWS Certified Data Analytics – Specialty).

Additional Information

The Devoteam Group works for equal opportunities, promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism and excellence of our organization. All of our vacancies are open to people with disabilities.

Seniority level Mid-Senior level

Employment type Full-time

Job function Information Technology

Industries Business Consulting and Services

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