Top Data Engineer Jobs in Portugal

Provide production application and Big Data platform support for critical financial systems: monitor, troubleshoot, tune Hadoop/Cloudera clusters, manage incidents and releases, maintain runbooks, perform risk reconciliations, liaise with stakeholders and vendors, drive stability and SRE best practices, and coach junior staff.

Lead SRE and production support for big data services: manage incident/problem management, monitoring/observability (AppDynamics, Splunk, ELK, Grafana), service improvement, automation (Ansible, CI/CD), disaster recovery, capacity/configuration/change management, and coordinate with development, architecture, and infrastructure teams while leading L2 service delivery and on-call support.

Design, develop, test, and maintain ETL solutions and data warehouse structures using SSIS and SQL Server. Build and support SSAS models, optimize ETL performance, ensure data quality, partner with stakeholders, and produce technical documentation to support BI and reporting initiatives.

Design, build, and own end-to-end data acquisition and large-scale processing pipelines. Implement ML models to improve data quality, lead data ingestion/crawling projects, deploy scalable distributed systems, and maintain backend storage and indexing in Kubernetes environments.

Design, build, and maintain scalable ETL/ELT data pipelines and data platform architecture. Build programmatic pipelines (primarily Python), optimize analytical data models (SQL), integrate sources into Snowflake, use orchestration/transformation tools (dbt, Airflow, Dagster), improve data quality/observability, and partner with product, engineering, and analytics to deliver reliable data for decision-making.

The Principal Software Engineer will oversee technical readiness for NVIDIA's GT data generation, resolving upstream blockers and ensuring quality across sensors and data platforms while collaborating with teams in the US and China.

Provide day-to-day administration and production support for Snowflake, Matillion, and related data platforms. Monitor jobs and performance, troubleshoot ETL/ELT and report refresh failures, manage access and deployments, maintain runbooks, and build AI-driven automation and agent-based workflows to improve operational reliability and efficiency.

Build and maintain backend, CI/CD, and data integrations for the NOS platform. Ramp on Palantir Foundry and AI/data tooling, write production code and tests, and collaborate with engineers and data scientists under senior review to deliver scoped features.

Own and scale Provable's data platform on GCP: build and optimize ingestion pipelines from blockchain indexers, design privacy-aware data models, manage Postgres and BigQuery, develop high-performance data-serving APIs, ensure data quality and observability, and use IaC (Terraform, Helm) and Kubernetes to deploy and cost-optimize environments.

Design, build, and deploy analytics and ML solutions for learning data: ETL pipelines, data models, clustering/predictive models, and Power BI dashboards. Partner with faculty, provide training, and transfer analytics knowledge to staff.

The Software Engineer will design and optimize large-scale data infrastructure, focusing on distributed systems and data processing for generative media models, collaborating closely with research scientists and enhancing multi-modal training pipelines.

Design, build, and optimize the company lakehouse environment and ETL/ELT pipelines (Databricks/Azure/Fabric). Develop semantic models, governed metrics, data quality controls, monitoring, and CI/CD practices. Partner with business, security, and analytics teams to steward master data, implement governance and access controls, and enable reliable datasets for reporting and AI use cases.

Build and maintain automated tests, tools, and stress tests for online game services. Collect, visualize, and analyze telemetry and test data, improve test frameworks and workflows, support global studios on automation strategy, and maintain infrastructure for performance, stability, and data integrity.

Lead the design and optimization of scalable data ingestion pipelines, develop reusable ETL components, and mentor junior engineers while leveraging expertise in Python and AWS for the Arine platform.

Own and improve the company data stack: expand the data warehouse, build and streamline Python-based ingestion and ETL processes, refactor dbt models, maintain data quality, standardize reporting, and collaborate with engineering and analysts. Act as technical owner for parts of the stack and proactively drive improvements and automation.

As a Staff Software Engineer, you'll architect and build foundational platform services, focusing on data infrastructure, healthcare interoperability, and secure APIs while mentoring other engineers.

The Windchill Data Migration Developer develops and maintains data migration solutions within Windchill, conducts data analyses, supports system integration, and collaborates with teams to ensure quality and functionality of data migrations.

The Data Engineer will collaborate with global teams to design and implement data solutions, focusing on ETL processes and data validation within Allegion's analytics initiatives.