Senior Data Engineer, Portugal

CI&T; Lisboa; Teletrabalho; EUR 40 000 - 70 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

100% paid health & dental benefits

Paid parental leave

Dedicated career advisor

Resumo da oferta

A leading tech transformation company in Lisbon is seeking a Data Engineer to design and support scalable data pipelines. You will work globally, transforming data into insights by collaborating with teams across multiple regions. The ideal candidate has strong experience with cloud platforms, data modeling, and ETL/ELT tools, and is fluent in English. This role offers comprehensive health benefits and a supportive work environment focused on diversity and inclusion.

Qualificações

• Hands-on experience with cloud platforms such as AWS (Glue, Redshift) or Azure (ADF, Synapse).
• Strong understanding of data modeling, database design (SQL and NoSQL).
• Knowledge of data security and privacy best practices.

Responsabilidades

• Design, build, and maintain scalable, high-quality data pipelines.
• Implement data ingestion, transformation, and storage using cloud-based technologies.
• Collaborate to translate business goals into data engineering solutions.

Conhecimentos

Cloud platforms (AWS, Azure)

ETL/ELT tools (Talend, Azure Data Factory)

Data modeling and database design

Fluent English

Version control (Git)

Ferramentas

Terraform

Kafka

Power BI

Descrição da oferta de emprego

Overview

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.

With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.

We are looking for a Data Engineer to join our global team at CI&T. You will play a critical role in designing, developing, and supporting scalable, high-quality data pipelines and infrastructure. Working with multidisciplinary teams across Brazil, Europe, the US, and other regions, you’ll help transform data into actionable insights that support digital products and business decisions.

Main Responsibilities

• Design, build, and maintain scalable, high-quality data pipelines for structured and unstructured data.
• Implement robust data ingestion, transformation, and storage using cloud-based technologies.
• Collaborate with stakeholders to understand business goals and translate them into data engineering solutions.
• Monitor, troubleshoot, and optimize data pipelines for reliability and performance.
• Support data validation, testing, and documentation processes.
• Contribute to the design and deployment of modern data architectures (e.g., data lakes, lakehouses, data warehouses).
• Apply Infrastructure-as-Code (IaC) practices for provisioning and managing cloud resources.
• Integrate emerging tools and frameworks to modernize existing data environments.
• Ensure security, governance, and compliance in all stages of data handling.
• Work in agile teams, contributing to continuous improvement and mentoring junior team members.

Requirements

• Hands‑on experience with cloud platforms such as AWS (Glue, Redshift, EMR) or Azure (ADF, Synapse)
• Proficiency with ETL/ELT tools and frameworks (e.g., Talend, Azure Data Factory, Airflow, DBT).
• Familiarity with modern data warehouses and lakehouses (e.g., Snowflake, BigQuery, Databricks).
• Experience with Infrastructure-as-Code tools (Terraform, CloudFormation, ARM templates).
• Strong understanding of data modeling, database design (SQL and NoSQL), and performance optimization.
• Knowledge of version control (Git) and task management tools (JIRA, Confluence).
• Fluent English communication skills (written and spoken) to operate in global teams.
• Awareness of data security, compliance (e.g., GDPR), and privacy best practices.

Nice to Have

• Experience with real‑time/streaming data architectures (Kafka, EventHub, Spark Streaming).
• Familiarity with BI and visualization tools (Power BI, Tableau, Looker).
• Knowledge of DevOps practices and CI/CD integration for data workloads.
• Exposure to data quality frameworks and observability tools.
• Familiarity with machine learning pipelines or MLOps frameworks.
• Experience with data migration or modernization from legacy systems to cloud‑native architectures.

Benefits

• 100% paid health & dental benefits starting day one
• Paid parental leave
• Dedicated career advisor
• And so much more…

Collaboration is our superpower, diversity unites us, and excellence is our standard.

We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.