Top Data Engineer Jobs in Portugal

Lead software engineer building enterprise applications across the SDLC. Coach and lead small teams, work client-facing to diagnose problems, architect and deliver cloud and data-driven solutions using modern languages, web and mobile frameworks, AI/ML, DevOps, and present solutions to stakeholders in a hybrid model.

Design and implement scalable data solutions using Microsoft Fabric and Azure. Build and orchestrate ETL/ELT pipelines, develop Power BI reports and DAX, optimize T-SQL and KQL queries, model data for Lakehouse/warehouse architectures, integrate varied data sources with Spark/PySpark, automate processes, ensure governance and security, and troubleshoot pipeline issues.

Design and build scalable data lakes, warehouses, and lakehouse architectures. Implement Python ETL/ELT pipelines, orchestrate with Airflow, ingest from 3rd-party APIs, optimize columnar formats and SQL, support ML workflows, consult stakeholders, and provision AWS/on-prem infrastructure with Terraform.

Lead architecture and modernization of Azure-based enterprise data platforms for procurement analytics. Design and build Databricks/Delta Lake solutions, ETL/ELT pipelines, and harmonize ERP data into enterprise models. Define multi-year strategy, establish engineering standards, mentor engineers, evaluate tools, and deliver data products, APIs, and BI support. Influence technical direction and present roadmaps to stakeholders.

Lead architect and hands‑on senior data engineer who designs scalable data platforms and medallion architectures, optimizes ETL/ELT and data modeling, implements CI/CD and IaC, enforces data governance and security, mentors engineers, integrates BI tools, and leads client-facing technical engagements.

Lead and scale a distributed data engineering organization: design and maintain cloud-native data infrastructure, build ETL/ELT pipelines and event streams, ensure data quality and observability, deliver dashboards and analytics tools, partner with product and business stakeholders, and manage analytics project prioritization and team performance.

Design, develop, and maintain enterprise dashboards, scorecards, and data pipelines for statewide IT portfolio reporting. Integrate and transform data from multiple systems using SQL, build Power BI executive reporting, define KPIs with stakeholders, analyze portfolio and financial data to identify trends and risks, automate reporting, ensure data quality, and provide documentation and knowledge transfer to support governance and decision-making.

The Cyber Data Analytics Engineer designs and maintains data systems to support cybersecurity, ensuring log data compliance and accessibility for government agencies.

Design, build, and maintain scalable ETL/ELT data pipelines and backend services. Implement data validation, monitoring, performance optimizations, CI/CD, and operational support while partnering with product and business stakeholders.

Design, build, and productionize LLM-powered applications (agents, RAG, prompt pipelines). Integrate external model APIs, deploy models to cloud, ensure low-latency scalability, establish evaluation and observability, and own data pipelines for retrieval, evaluation, and fine-tuning.

Design, build, and operate large-scale, fault-tolerant real-time and batch data pipelines powering an ad-tech DSP. Collaborate with engineers and data scientists to define data models and SLAs, optimize performance and capacity, enforce data quality and monitoring, mentor engineers, and evaluate new data technologies to scale analytics and ML workloads.

The Software Engineer will manage data collection for model training, operate cloud infrastructure, and collaborate on dataset roadmaps to enhance data quality for Speechify's products.

The Software Engineer will enhance data collection for AI model training, manage cloud infrastructure on GCP, and collaborate with scientists and teams on data workflows.

The Software Engineer will handle data collection for AI model training, optimize the data ingestion pipeline, and collaborate with scientists to improve data quality and scale.

Responsible for data collection to support model training operations, extending cloud infrastructure, and collaborating with AI team on dataset roadmap.

The Software Engineer will enhance data ingestion pipelines, collaborate with AI scientists, and integrate new audio data sources, all within a cloud infrastructure.

The role involves managing data collection for AI model training at Speechify, optimizing ingestion pipelines on cloud infrastructure, and collaborating with scientists to enhance data quality and scalability.

The Software Engineer will manage data collection for model training, operate cloud infrastructure, and collaborate on AI datasets.

The Software Engineer will enhance data collection processes, manage cloud infrastructure on GCP, and collaborate with scientists on AI model datasets.

The role involves managing data collection for AI model training, extending cloud infrastructure, and collaborating on dataset roadmaps at Speechify.

The Software Engineer for Data Infrastructure & Acquisition will handle data collection for model training, manage cloud infrastructure on GCP, and collaborate with the AI team to enhance data quality and scalability.

The Software Engineer will manage data collection, optimize the ingestion pipeline on GCP, and collaborate with AI scientists to enhance datasets for model training.

The Software Engineer will enhance data collection processes, manage cloud infrastructure for ingestion pipelines, and collaborate on dataset roadmaps for AI products.

This Software Engineer role focuses on data collection for model training at Speechify, requiring skills in data ingestion, cloud infrastructure, and collaboration with AI team members.

The role involves supporting data collection and ingestion pipeline operations for AI model training, including collaboration on dataset roadmap and cloud infrastructure management.