Top Data Engineer Jobs in Portugal

Design and build RAG-focused data pipelines for LLMs: ETL/ELT for structured and unstructured data, vector database architecture, embedding and chunking strategies, data cleaning/PII removal, metadata engineering, low-latency streaming, and evaluation/versioning to support autonomous agents.

Design, build, modernize, and maintain operational and analytical data capabilities for Wealthscape Reporting, Analytics and Insights. Perform solution design, data analysis, ETL development, and production rollouts using Snowflake, AWS, cloud databases, and CI/CD pipelines. Collaborate across teams in a fast-paced financial services environment.

Design, build, and maintain scalable data pipelines on AWS using EMR, Spark, and PySpark. Optimize EMR clusters and Spark jobs, implement ETL/ELT processes, ensure data quality, automate ingestion, and collaborate with data scientists and analysts. Document infrastructure, participate in code reviews, and monitor performance and costs.

Design, build, and maintain operational and analytical data platform capabilities using Java Spring Batch, Python, AWS, Oracle, and Snowflake. Deliver end-to-end development, production rollout, and support; improve financial product data quality, modeling, and SQL performance; collaborate with business partners and squads.

Design, build, and maintain ETL/ELT data pipelines and orchestration using Airflow, Python, and PySpark. Develop custom connectors, implement DataOps and CI/CD for data workflows, monitor and troubleshoot pipelines, validate data quality, and document processes while collaborating with cross-functional teams and supporting large-scale distributed data systems.

Lead architecture and delivery of Customer 360 data models, backend APIs, services, events, and platform tooling. Build production Node.js/TypeScript services, design identity and customer data models across relational, NoSQL, graph, cache, and search stores, ensure observability and reliability, drive cross-team adoption, and mentor engineers.

As a Data Engineer, you will design and maintain data pipelines, ensure data quality, integrate systems, and support reporting tools for decision-making.

Design and deliver cloud-based data architectures, ETL/ELT pipelines, and data lake/warehouse solutions for a Department of War client. Lead a small engineering team, implement migration strategy, build live-data dashboards, recommend tools, and coordinate with government PM. Hybrid role at Fort Bragg with quarterly travel; requires active Secret clearance and US citizenship.

Designs, builds, and maintains ingestion, transformation, and storage pipelines across Unclassified to Top Secret enclaves using Airflow, Spark, Glue, and Kafka. Implements data quality, encryption, access policies, documentation, monitoring, and provides Tier-2/3 incident support to ensure reliable data movement and analytics readiness.

Designs and operates telemetry data flows for AI/ML model serving across classified enclaves. Normalizes telemetry for Prometheus/Grafana/Elasticsearch/Splunk, implements schema/serialization conventions, builds routing with Kafka/Kinesis, collaborates with DevSecOps and cyber teams, and produces dashboards, data quality checks, anomaly detection, and runbooks.

Lead design and implementation of Snowflake-centered cloud data platform and scalable ETL/ELT pipelines. Build data models, ensure governance/HIPAA compliance, optimize performance and costs, create Power BI reports, mentor engineers, migrate legacy systems, and enable analytics and AI/ML initiatives through robust data integration, testing, CI/CD, and security practices.

Design, architect, and deliver scalable data pipelines and storage solutions using big data and cloud technologies. Lead technical strategy, mentor engineers, ensure data governance, security, and performance, and collaborate with Data Science and Product teams to support analytics and ML initiatives.

The Principal Data Engineer will lead the design of data architectures and analytics applications, collaborating with teams to build scalable platforms and improve data quality, while mentoring engineers and driving engineering best practices.

Lead design and delivery of enterprise BI and data engineering solutions using medallion architecture and domain-driven design. Build ETL/ELT pipelines, advanced data models (star/snowflake), and Power BI dashboards. Implement DAX and Power Query M transformations, optimize SQL solutions, and use Spark Python for large-scale processing. Collaborate with stakeholders, define KPIs, mentor team members, and drive innovation across the Microsoft Cloud Data Stack.

Design, build, and maintain the company data warehouse and ETL processes. Partner with business teams to define data solutions and visualizations, support reporting (SSRS, Crystal Reports) and BI (Power BI/Tableau), troubleshoot issues, and provide occasional after-hours support.

Build and maintain ingestion pipelines, Python services, and dbt models on AWS and Snowflake. Own operational on-call responsibilities, migrate pipelines to Airflow, contribute to CI/CD, collaborate with BI/Analytics, and mentor junior teammates.

Design, build, and maintain scalable data pipelines and architectures. Perform data extraction, cleansing, transformation, and ensure data quality and accessibility. Collaborate with data scientists, analysts, and product teams to deliver data solutions and troubleshoot data issues.

Design, build, and maintain scalable ELT pipelines and data models for insurance (Guidewire) domains and Generative AI. Ensure data quality, performance, governance, and security; support analytics, AI model training (embeddings, vector DBs), dashboards, testing, and mentoring.

Design, build, and maintain scalable data pipelines, lakes, and infrastructure using Databricks, Spark, Python, and AWS. Collaborate with ML engineers, data scientists, and analysts to deliver data products, ensure data quality and governance, implement DevOps/SDLC practices, mentor junior engineers, and evaluate new data technologies.

Design, build, optimize, and maintain scalable data pipelines and ETL for insights products. Analyze complex datasets, collaborate across teams, automate workflows, and improve pipeline performance and cost efficiency using cloud and modern data platforms.

The Data Engineer II will manage analytics pipelines for mobile games, transforming telemetry data and ensuring data quality for studio teams' decisions.

The Data Engineer will design and operate data architectures, pipelines, and services, collaborate with teams to develop solutions, and provide mentorship. Responsibilities include implementing ETL/ELT pipelines, ensuring data quality, and advising clients on technical capabilities.

Design, build, and maintain scalable batch and real-time data pipelines and platform components. Produce curated datasets, ensure data quality, observability, and lineage, and collaborate cross-functionally to deliver data products that support analytics, experimentation, and ML.

The Data Integration Lead designs and manages data ingestion pipelines, ensuring data integrity and security while supporting ETL processes in classified environments.

Build and maintain large-scale data collection and preprocessing pipelines for NLP research. Develop web crawlers, APIs, and workflows; refine LLM outputs into structured datasets; collaborate with researchers to ensure data quality and document methodologies. Support scalable storage, retrieval, and distribution of datasets.