Data Engineer, Cloud & AI Pipelines | Hybrid/Remote

Claranet limited; Lisboa, Porto; Hybrid; EUR 45,000 - 75,000; Full time

Benefits offered by this job

Above-average salary packages

Career development

Certification programs

Hybrid work model

Remote work possible

Job summary

Claranet is seeking a Data Engineer to join the Data & AI team in Lisbon/Porto with a hybrid setup (remote possible). You will design and deploy data ecosystems, ensuring security, scalability and high availability for data governance, intelligent applications, and ML use cases that drive client value.

Ideal candidates have hands-on cloud experience (GCP/Azure), proficiency in Python/Java/Scala, SQL and data lifecycle management, plus familiarity with CI/CD and IaC (Terraform).

Qualifications

• Experience in Public Clouds as a Data Engineer, mainly GCP and Azure.
• Proficient in functional development in a language such as Python, Java, Scala, et cetera.
• Skilled in data discovery and transformation employing PL/SQL or SQL-Like languages.
• Expertise in the Data Lifecycle: Ingestion; Transformation; Discovery; Enrichment; Modelling.
• Know-how in CI/CD and IaC (e.g., Terraform).
• Fluency in Portuguese.

Responsibilities

• Be part of a team that designs and deploys data ecosystems with collaboration, security, scalability and high availability as main principles.
• Explore and benchmark data solutions to fulfil business stakeholders' requirements.
• Integrate, handle, transport, process, and model data into Data Platforms.
• Participate in projects to develop intelligent applications and use cases that enable clients to operate more efficiently and generate more revenue.
• Design best practices and transmit know-how to other teams.

Skills

Python

Java

Scala

SQL

GCP

Azure

CI/CD

IaC

Terraform

Portuguese

English

Tools

Apache Spark

Databricks

PowerBI

Plotly

Metabase

Parquet

Avro

Orc

Job description

Claranet is seeking a Data Engineer to join the Data & AI team in Lisbon/Porto with a hybrid setup (remote possible). You will design and deploy data ecosystems, ensuring security, scalability and high availability for data governance, intelligent applications, and ML use cases that drive client value.

Ideal candidates have hands-on cloud experience (GCP/Azure), proficiency in Python/Java/Scala, SQL and data lifecycle management, plus familiarity with CI/CD and IaC (Terraform).