Top Data Engineer Jobs in Portugal

As a Software Engineer, you'll architect and build data collection pipelines, collaborating with researchers and data operations to ensure high-quality data collection.

The role involves developing large-scale data processing pipelines, automating data selection, and collaborating on ML model improvements to enhance vehicle performance and safety.

Lead engineer responsible for designing, developing, and optimizing petabyte-scale distributed data processing systems (Hadoop/Spark/Hive/Trino) on AWS. Leads performance tuning, system architecture, DevOps/CI-CD, security, AI tool adoption, and mentors engineers to improve product quality and delivery.

Design and build scalable data pipelines and backend systems for AI solutions. Lead architecture, code quality, security guardrails, and review AI-accelerated output. Partner with product, data science, and client teams to transform pipeline outputs into actionable insights. Own full feature lifecycle from prototyping with agentic tools to production-grade deployments.

The Senior Data Engineer will design, build and deploy data solutions for AI technologies, mentor junior engineers, and collaborate across teams.

The role involves deep troubleshooting, root cause analysis, and architectural optimization in the Data and AI ecosystem to enhance platform reliability and supportability.

The Lead Data Platform Engineer will design and implement scalable data platforms, maintain data solutions, mentor junior engineers, and collaborate across teams.

Design, build, and maintain scalable data warehouses, marts, and BI reporting; create robust data models and pipelines; perform audits and data quality tests; collaborate with cross-functional teams to provide single-source-of-truth analytics and support business decision-making. Requires active security clearance.

The Senior Data Engineer II will build and optimize data solutions on Axon's Corporate Data Platform, design data pipelines, mentor team members, and uphold data governance and quality standards.

Design and build a modern, scalable data platform (warehouse, lakehouse, or hybrid) to support analytics, data science, and near-real-time processing. Lead platform architecture, CDC-based ingestion, ETL/ELT pipelines, data quality/observability, and governance. Partner cross-functionally, provide technical leadership and mentorship, and modernize legacy data processes for low-latency enterprise reporting and ML workloads.

Lead technical pre-sales engagements for Microsoft cloud database and analytics products. Deliver PoCs, demos, hackathons, and architecture workshops; design secure, scalable solutions; resolve technical blockers; collaborate with engineering; and evangelize Fabric, Databricks, Purview and Azure database technologies to accelerate customer migrations and adoption.

Design, deploy, automate, and support Cloudera Data Platform clusters and Hadoop ecosystem services. Build Ansible automation and CI/CD for provisioning, configuration, patching, monitoring, security integrations (Kerberos/LDAP/TLS), capacity planning, disaster recovery, and on-call operations to support data ingestion, processing, and analytics workloads.

Design and deliver high-value human data and evaluation projects for LLMs. Partner with model teams, build tooling to measure data effectiveness, maintain data integrity, design annotation workflows, run evaluations, and scale Human Data operations to improve model quality and truthfulness.

Lead data engineering teams to design, build, and maintain scalable cloud-native data pipelines, data platforms, and data products using Snowflake, Databricks, Airflow, and modern architectures. Optimize ETL/ELT, SQL, and transformations for analytics, reporting, and AI use cases; ensure data quality, governance, observability, and stakeholder alignment. Produce documentation, runbooks, and present technical solutions to business and technical audiences.

Serve as first point of contact for customers using Agentforce and Data 360, troubleshoot technical issues, provide feature guidance and best practices, manage customer expectations, create and maintain knowledge content, participate in training, and escalate complex issues to internal teams to ensure customer success.

Design, build, operate batch and real-time data pipelines and ETL/ELT solutions on cloud platforms. Optimize data models, warehouses/lakehouses, ensure data quality, security, and performance, and collaborate with analysts, data scientists, and stakeholders to deliver trusted datasets.

Lead a team building large-scale ML model evaluation and orchestration frameworks for autonomous vehicles. Own data analysis workflows, dataset creation, statistical model evaluation, regression reporting, and tool development (AWS Kubernetes orchestration, ReSimulation). Provide technical leadership, mentorship, and manage project timelines and deliverables.

As a Senior Controls Engineer, you will design, deploy, test, and maintain control systems, ensuring quality through collaboration with clients and team members.

Build and operate an AWS-native data lake and AI gateway. Implement and maintain lakehouse architecture (Iceberg) using Glue, Athena, and S3; manage infrastructure as code (Terraform); run reliable data pipelines; operate LLM gateway/Bedrock; enforce security, IAM, networking, and secrets controls; partner with IT and Security.

Design, develop, and maintain scalable ETL/ELT pipelines and Snowflake data models; optimize performance; ensure data quality and integrations with CRM/ERP/billing systems; collaborate with stakeholders and evolve a Snowflake/dbt cloud-native data platform.

Assist the data engineering team in building, testing, and documenting data pipelines and storage. Work with Python, SQL, and Git on time-sensitive tasks, execute unit tests, support senior engineers, and complete assigned projects (part-time, 20 hr/week).

Design, develop, maintain, and test data infrastructures and pipelines; optimize data flow and collection; collaborate with data science to integrate models; analyze IT environments; deliver data solutions for stakeholders and support project milestones.

Build and maintain high-throughput C++ recording systems and Python data services for vehicle sensor and telemetry data. Work on data transfer, ingestion, validation, format/versioning, indexing, compression, and efficient access for replay, analytics, and ML while operating under vehicle resource constraints and contributing to quality management.

Own and scale the usage-to-billing pipeline and real-time CRM ingestion, design the customer/commercial graph, work across front-end and backend ingest infrastructure, and mentor engineers while shaping system architecture and operational reliability.

Design, build, and maintain backend systems and data interactions for healthcare reporting. Develop APIs, data models, ETL pipelines, and interfaces; optimize performance, ensure data integrity and security, and support automated testing and CI/CD. Collaborate in Agile teams and reduce technical debt while enabling integrations with frontend and third-party systems.