Remote Data Engineer Jobs in Portugal (64)

Senior Data Engineer

Senior Data Engineer (Agentic Development focus) (M/F)

Design, implement, and maintain data pipelines using AI agents to automate code generation and transformation logic. Ensure data quality and architecture standards while validating AI-generated solutions for performance and maintainability.

#8 Data Engineer Senior - Databricks - Latam

The role involves co-developing batch and streaming data pipelines on Databricks and defining data contracts and quality rules. You will also mentor domain engineers on data product ownership and best engineering practices.

Senior Data Engineer 18 applicants

You will design and build a multi-source data platform for concurrent ingestion, event-driven processing, and orchestrated batch workflows. Additionally, you will own the platform end-to-end, from architecture and ingestion through production operations.

Data Engineer

Build and maintain automated ETL pipelines to integrate marketing platforms and CRMs into a central database. Develop and manage data dashboards while automating recurring business reports and analyzing performance metrics.

Senior Data Engineer

Design, build, and manage scalable multi-cloud data platforms while developing real-time and batch data pipelines. Ensure high standards of data reliability, security, and governance while mentoring engineering team members.

1184 - Senior Data Engineer

Design, build, and maintain data pipelines and analytics solutions using Databricks and Python. Collaborate with IT teams to implement data governance standards and support Power BI reporting.

Data Engineer 14 applicants

The Data Engineer designs, builds, and maintains scalable data infrastructure and ETL pipelines to support digital marketing strategies. They ensure data integrity and quality while collaborating with cross-functional teams to prepare data for dashboards and reporting.

Senior Data Engineer

Own and develop the company’s analytics infrastructure, including data collection, ETL/ELT pipelines, orchestration, backfills, monitoring, and integrations with marketing, billing, product, and internal data sources. Build and maintain dbt models, implement data quality controls, and document data sources, models, and business logic for analytics teams.

Senior Data Engineer

You will design and scale robust data architecture to support analytics, experimentation, and decision-making across the company. You will also lead data quality initiatives and collaborate with cross-functional teams to build scalable data systems.

1873 Sr Data Engineer – IBM DB2

Design, develop, and maintain batch and event-driven data pipelines while optimizing IBM DB2 database performance. Collaborate with cross-functional teams to integrate legacy systems with modern cloud platforms and ensure data reliability.

Data Engineer 20 applicants

Design, build, and maintain scalable batch and streaming data pipelines, transforming data from diverse sources into governed, analytics-ready datasets and reusable data services. Collaborate with clients, analysts, data scientists, and architects to ensure data quality, security, governance, performance, and clear technical documentation.

Senior Data Engineer

The Senior Data Engineer will design, develop, and maintain scalable ETL/ELT pipelines while managing AWS workflows and orchestration tools. Additionally, the role involves leading a small team, collaborating with cross-functional stakeholders, and implementing AI-driven automation for engineering tasks.

Data Engineer ID89384

Design, develop, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL. Build and operationalize agentic workflows to automate data engineering and operational processes such as validation and troubleshooting.

Senior Data Engineer

Build and maintain production data workloads in Databricks, including streaming or incremental ingestion, data modeling, and data quality practices. Collaborate with engineering and product teams to deliver digital products and data solutions for clients.

Senior Clinical Data Engineer

Design, develop, and maintain scalable data pipelines to process and validate clinical and medical device data. Collaborate with cross-functional teams to ensure data quality and deliver analysis-ready datasets for statistical reporting.

DATA ENGINEER

The Data Engineer will design, build, and maintain scalable data pipelines and ETL/ELT processes to integrate multiple data sources. They will also ensure data quality and collaborate with cross-functional teams to support analytics and data-driven decision-making.

Data Engineer

Design, develop, and optimize scalable data pipelines using Azure Data Factory and other cloud-native services. Implement secure data migration strategies, including encryption and masking, while ensuring reliable performance across Azure environments.

Sr. Data Engineer (Remote)

You will architect and lead the development of large-scale data pipelines and streaming systems to process billions of daily events. Additionally, you will own production data systems, ensuring high uptime, reliability, and scalability while collaborating with cross-functional teams.

Data Engineer ID94415

The Data Engineer will execute large-scale data platform migrations to Snowflake and support reliable Airflow workflows. They will work embedded within the data engineering team to adapt existing pipelines and ensure data quality throughout the modernization process.

Senior Data Engineer

Design, develop, and maintain scalable ETL/ELT data pipelines and cloud-native data solutions using Python, PySpark, and Snowflake. Collaborate with cross-functional teams to optimize data performance, ensure data quality, and implement robust data governance practices.

AI Data Engineer (ML Data Pipelines)

Design and build scalable data pipelines to support machine learning workflows, including feature engineering and real-time data ingestion. Collaborate with cross-functional teams to ensure data quality, monitoring, and efficient model deployment.

Cloud Data Engineer (Snowflake/Databricks) – Remote

Design and build scalable data pipelines while optimizing transformation workflows in Snowflake or Databricks. Collaborate with cross-functional teams to ensure high-quality, performant, and secure data systems for analytics and reporting.

Data Engineer (Contract, Remote)

The roles involve designing, building, and maintaining scalable data pipelines, cloud infrastructure, and analytical dashboards to support business decision-making. Responsibilities also include ensuring data quality, automating infrastructure, and collaborating across technical and business teams.

Data Engineers Databricks / PySpark - Full Remote

The role involves designing, developing, and maintaining reliable production-grade ETL/ELT pipelines while ensuring data quality and consistency. You will collaborate in an agile environment to investigate system issues, perform root-cause analysis, and support critical data engineering activities.

Senior Data Engineer - SAP HANA Cloud & Graph

Design, build, and optimize complex data models and graph structures within SAP HANA Cloud to support enterprise-level applications. Collaborate with machine learning and search engineering teams to ensure efficient data pipelines and high-performance query execution.

Senior AI-First Data Engineer

You will lead the transformation of the data platform into an AI-native foundation, transitioning from batch to streaming architectures. You will also build data products consumable by AI agents and business users while establishing engineering standards and best practices.

Data Engineer – Cybersecurity, GRC & AI

Develop and maintain scalable data pipelines and models to support cybersecurity, GRC, and AI-assisted workflows. Collaborate with cross-functional teams to ensure data reliability, audit readiness, and effective integration with enterprise platforms.

Data Engineer

Data Engineers

The role involves designing, building, and maintaining scalable BigQuery datamarts and analytical tables to support BI reporting. You will also develop data pipelines and transformation workflows while ensuring data quality and governance across the environment.