Top Data Engineer Jobs in Portugal

Own and operate the end-to-end consumer data pipeline: ingest, clean, transform, and unify multi-source behavioral data into a deduplicated identity graph. Build and run batch and streaming pipelines, enforce data-quality and observability, support low-latency AI query access, perform root-cause incident analysis, and ensure privacy, compliance, and clear data lineage. Collaborate across product and fulfillment teams to maintain SLAs and document data contracts and architecture.

Design, deploy, operate, and monitor enterprise data center network solutions (Cisco ACI, Nexus, Radware load balancers). Support projects across regions, provide technical guidance, enforce security/operational best practices, participate in 24x7 on-call rotation, and troubleshoot complex data center network issues to ensure reliability and scalability.

Design, develop, and secure database systems to integrate structured and unstructured data from diverse sources. Build ETL, XML schema mappings, T-SQL/PL/SQL stored procedures, and Oracle APEX web interfaces. Produce reports and Power BI dashboards, improve data quality, and support data mining and automation to deliver actionable analytics for engineering and technology innovation.

The Software Engineer will architect, design, develop, and test a data system for large data and video demands as part of the Rocky program.

Design, build, and operate the core data warehouse, ingestion, orchestration, and cataloging platform. Develop batch and streaming pipelines, ensure data quality, governance, observability, and provide ML data platform capabilities. Lead architecture, improve platform reliability and performance, and collaborate with product, engineering, data science, security, and compliance teams.

The Senior Software Engineer in Data Engineering will design and maintain data processing services, ensuring scalability and performance for a game analytics platform, collaborating with various teams to deliver insights for stakeholders.

Design, build, and maintain high-throughput data processing services, focusing on streaming and batch data systems to enhance player experiences.

Design, build, and maintain data processing services focusing on ingestion. Collaborate with teams to provide data insights, ensuring performance and scalability.

The Principal Software Engineer, Data Architecture leads enterprise data architecture initiatives, modernizes data platforms, and mentors engineering teams while ensuring compliance and governance in global environments.

Lead design and implementation of data infrastructure, pipelines, and integrations using cloud platforms. Manage teams and client accounts, ensure data quality, security, and compliance, deploy scalable solutions (Databricks, Snowflake), mentor junior staff, and identify data-driven business opportunities.

Design and build data infrastructure, pipelines, and integration solutions using cloud and big-data tools. Develop data lakes/warehouses, ensure data quality and security, apply data modeling and DAGs, use Databricks, Airflow, and Hadoop, and collaborate with clients to deliver actionable insights.

Design and maintain performance and advisor service metrics for OnStar features. Build dashboards and recurring reports using Databricks, SQL, Power BI/Tableau. Investigate end-to-end system performance, document workflows, identify gaps, and implement improvements. Collaborate with IT/operations, automate analysis tasks, and ensure SLA tracking and system requirement documentation.

Join a small team building Cloudflare's Data Residency Architecture: implement per-account regional API routing, dashboard and provisioning integrations, admin tooling, and cross-team integrations with storage, cryptographic key management, and logging infrastructure to ensure customer data remains in chosen regions.

As a Software Engineer at Kalshi, you'll manage the data stack, focusing on data pipeline development, ETL processes, and collaboration with data scientists and product teams.

Lead and mentor a data engineering team to design, build, test, and deploy cloud-based, AI-enhanced risk management data solutions. Collaborate across Agile teams and product managers, implement big-data and streaming systems, perform unit tests and code reviews, and drive technology adoption and performance tuning.

Lead Data Engineer responsible for designing, developing, testing, and supporting cloud-based data solutions. Collaborate across Agile teams, mentor engineers, build distributed and streaming data systems, and optimize performance using big data technologies and data warehouses.

Design, build, and maintain enterprise ETL and data transformation pipelines to support Medicaid analytics and federal reporting. Optimize data processing with Python, Spark/Databricks, and relational platforms; ensure data validation, reconciliation, auditability, and production support. Collaborate across architects, analysts, QA, and BI teams during cloud migration and modernization efforts.

Design, develop, and deploy AI-powered solutions and manage data infrastructure. Responsibilities include Snowflake administration, performance engineering, operations/on-call support, automation/DevOps, lifecycle management, security and compliance, monitoring, backup/recovery, incident/change management, SQL development, and hands-on Python coding.

Maintain and support onsite data center infrastructure—install, configure, and troubleshoot servers, storage, and networking equipment. Monitor operations, perform routine maintenance, assist with expansions/upgrades, document configurations, and provide technical support to IT staff and end users.

Operate and maintain onsite data center infrastructure including servers, storage, and networking. Install, configure, and troubleshoot hardware and software, monitor performance and uptime, support expansions/upgrades, maintain documentation, and provide technical assistance to IT staff and end-users.

The Data Center Engineer will lead and ensure reliable operation of optical transport in data centers, interacting with customers and maintaining high-quality standards.

Lead design, build, and operate reusable, secure GCP data platform capabilities (BigQuery, Dataflow, Dataproc, Pub/Sub). Create ingestion/transformation frameworks, enable self-service, enforce data quality, lineage, security, and CI/CD, and provide platform enablement and roadmap guidance.

Design, build, and maintain optimized, highly available data pipelines and the BMG data warehouse. Lead medium-to-complex data engineering initiatives, perform solution design, code reviews, QA, data integration, and collaborate across teams. Support cloud migration and ensure compliance with data policies for reporting and analytics.

Lead design, build, and operation of scalable, secure GCP data platforms and reusable frameworks (ingestion, transformation, orchestration). Enable self-service analytics, enforce governance, data quality, observability, and security controls. Partner with domain teams, document patterns, and contribute to roadmap and tool selection.

Lead design, build, and operate scalable, secure GCP data platforms and reusable data frameworks (ingestion, transformation, orchestration). Enable self-service, governance, data quality, observability, and cost/performance optimization. Partner with domain teams, document runbooks, and contribute to platform roadmap and CI/CD integration.