Top Data Engineer Jobs in Portugal

Design, build, and operate a scalable, secure cloud data platform (Lakehouse) using Databricks/Snowflake on Azure/AWS. Implement IaC, CI/CD, automation, governance, monitoring, cost optimization, and self-service tooling while partnering with architects, data teams, and security to support analytics and AI workloads.

Develop, test, and maintain big data applications using Hadoop ecosystem (Hortonworks), Spark, Scala, Hive and MapReduce. Improve and optimize existing code, collaborate with analysts and testers, and apply Agile practices within distributed, component-based architectures to deliver reliable data solutions.

Develop and enhance a retail engagement analytics product by implementing data engineering solutions: build real-time data flows, work with NoSQL stores, support data infrastructure and visualization, clean and prep noisy datasets, and recommend improvements to data reliability, efficiency, and quality.

Technical lead for data engineering who designs, builds, and owns scalable Snowflake ELT pipelines and data models. Mentors engineers, drives standards, optimizes performance and costs, and partners with product, analytics, QA, and governance to deliver observable, high-quality data solutions. Contributes to platform strategy, DataOps/CI/CD adoption, and ensures data quality, testing, and documentation.

Design, build, and maintain scalable data infrastructure and automated pipelines. Develop data models, transformations, storage solutions, and quality/lineage checks. Troubleshoot pipelines, collaborate with analysts and security teams, document architecture, and support data governance and continuous improvement.

Design, architect, and build scalable data platforms and pipelines (Databricks on AWS). Implement ETL and API data interfaces, optimize data infrastructure and streaming (Kafka), and improve data quality and availability. Collaborate in an agile scrum team supporting a high-visibility public-facing product. Must be a U.S. citizen eligible for Public Trust clearance.

Build, operate, and secure the firm's AI infrastructure and developer tooling to enable Python-based AI applications. Implement Azure AI Foundry, integrate LLM APIs (Anthropic, Azure OpenAI), design data pipelines (ADF, Databricks), manage cloud infrastructure (IaC, Kubernetes), and enforce security, governance, and compliance for regulated financial environments.

Build and maintain reliable Apache Airflow pipelines and workflow engines to move, schedule, and monitor data. Develop automation using Bash, Python, and Java. Work with distributed processing (Spark), containerization (Docker/containerd/Podman), and Git source control to support analytics and operational needs.

Design, build, and operate high-throughput real-time data integration and storage systems. Architect open table format layers at petabyte scale, build and optimize Spark-based batch and streaming pipelines, manage stream processing (Kafka/Flink), orchestrate pipelines (Airflow), and ensure performance, reliability, and cost efficiency across the data stack. Collaborate with platform and product teams and own end-to-end data infrastructure.

Design, build, and operate petabyte-scale data infrastructure: real-time ingestion, storage (open table formats), and serving. Lead performance, reliability, and cost optimization across Spark and streaming pipelines (Kafka/Flink), define data contracts, and establish best practices and tooling. Collaborate with platform, product, and deployment teams to deliver production-grade data systems on AWS GovCloud, Kubernetes, and Airflow.

Design, build, and operate petabyte-scale data infrastructure: real-time ingestion, storage (open table formats), and serving. Architect scalable Iceberg-based data lakes, optimize Spark pipelines and streaming (Kafka/Flink), drive reliability, cost efficiency, and data contracts; collaborate with product and platform teams and establish best practices and tooling.

Seeking a Sr. Big Data Engineer with 8 years of Java/Scala experience, Unix/Linux systems knowledge, and expertise in big data technologies and cloud deployment.

Design and develop scalable infrastructure and services for data pipelines and distributed systems, working on an AI/ML platform for enterprise applications.

Design and build data systems for robotic intelligent workflows, focusing on automation, signal extraction from multimodal data, and ML model evaluation.

As a Software Engineer in Data Infrastructure, you will build and maintain high-performance data storage systems for AI training, collaborate with experts, and optimize data processing.

Lead the unification of large heterogeneous datasets for generative audio models by creating robust systems for data ingestion, deduplication, and reconciliation. Collaborate with ML researchers and develop scalable entity-resolution solutions while tracking data quality metrics.

Build scalable ML data pipelines for Waabi's autonomous driving platform. Design, optimize, and manage datasets and training processes while collaborating with scientists and engineers.

Design and maintain robust CI/CD pipelines, manage integrations with large customer repositories, develop full-stack software, provision cloud infra with Terraform, and implement scalable data pipelines. Learn and apply PySpark, modern data architecture, and AI/agentic tools (Claude, Cursor) to automate and accelerate engineering workflows.

The Business Intelligence/Data Cube Developer will generate reports and data cubes, write custom ETL jobs, and support analytics for a federal agency.

Design, build, and maintain near real-time manufacturing dashboards and decision-support tools. Translate plant needs into intuitive visualizations, create reusable components, ensure data reliability and performance, collaborate with OT/IT and operations, and provide documentation, training, and governance-aligned deployment.

The Senior Data Engineer will manage data tuning on relational databases, utilize Big Data technologies, and coordinate with technical teams and business users.

The Senior Data Engineer will utilize advanced data tuning skills on relational databases, manage big data technologies, and facilitate communication among technical teams and business users.

Big Data Engineer responsible for implementing solutions for large data processing and real-time systems, conducting technical sessions, and ensuring quality deliveries.

Seeking a Senior Big Data Engineer with at least 8 years of Java or Scala experience and expertise in big data technologies and cloud deployment.

The Senior Data Developer will extract, transform, and load data into MDM and data warehousing systems, optimize database designs and query executions, and enforce data strategy practices.