Top Data Engineer Jobs in Portugal

Seeking a Senior Big Data Engineer with at least 8 years of Java or Scala experience and expertise in big data technologies and cloud deployment.

Design and develop scalable infrastructure and services for data pipelines and distributed systems, working on an AI/ML platform for enterprise applications.

Lead design and implementation of the enterprise data platform: architect scalable warehouse/lakehouse solutions, build and optimize ETL/ELT pipelines, enforce data quality and governance, tune analytical workloads, and enable reporting and self-service analytics in support of BI and AI initiatives.

The role involves designing and implementing data pipelines and systems for large datasets, supporting scientific processes and experimentation.

Design, build, and operate large-scale AWS-based ETL pipelines using Glue/PySpark to ingest, transform, and curate multi-format data into Apache Iceberg tables. Ensure data quality, metadata management, semantic layer creation (Trino/Athena), CloudFormation deployments, documentation, and compliance within a FedRAMP federal agile environment.

Serve as a data quality and QA engineer on a federal data platform: build automated AWS Glue/Deequ data quality checks, validate schemas and ETL pipelines, create and run unit/integration tests with 90% coverage, support IV&V and UAT, perform static/security scans, produce test documentation, monitor production ETL, and collaborate with data stewards and IV&V teams.

Build information-rich legal data visualizations using JavaScript, React, D3, and SVG. Use Python and Pyramid to retrieve and prepare data. Design for accessibility and usability, integrate new legal content with subject-matter experts, collaborate with frontend/back-end and NLP engineers, and participate in code reviews. Provide a portfolio of reviewable code samples.

Build scalable ML data pipelines for Waabi's autonomous driving platform. Design, optimize, and manage datasets and training processes while collaborating with scientists and engineers.

Lead the analytics data layer: design and operate a ClickHouse-backed warehouse, define and validate trusted metrics, build customer-facing React dashboards and internal Grafana/self-serve tooling, and ensure data quality, lineage, and documentation for telemetry-derived insights.

The Software Engineer will manage data collection, operate cloud infrastructure, and collaborate with scientists to enhance AI models at Speechify.

As the Distinguished Architect, you will lead the design and implementation of CloudZero's next-generation data platform, focusing on streaming architecture, data modeling, and optimizing query engines to enhance cost attribution and performance at scale.

Design, build, and maintain data ingestion, ETL, storage, and analytics systems to measure and scale Starlink network performance (including Wi‑Fi). Automate metric aggregation, detect widespread application issues, lead investigations, fuse multi-source data, and apply analytics and ML models to vehicle- and ground-generated data.

Design, build, and iterate data engineering pipelines, dashboards, and reports to support analytics and data science. Partner with stakeholders to translate requirements into engineering solutions, promote self‑service analytics, define best practices, and support implementation using Databricks, Snowflake, and Azure components.

The Data & Control Systems Engineer designs and maintains control infrastructure for launch operations, develops automation systems, and supports data acquisition efforts for the Starship Launch Vehicle.

The Software Engineer 2 in the Data Domain will develop data pipelines, build ETL jobs, and participate in Scrum teams while learning from senior developers to grow technical skills in a collaborative environment.

As a Software Engineer 1, you will contribute to data collection, build ETL jobs, and develop a Big Data framework as part of a Scrum team.

Design, build, and maintain interactive Power BI dashboards (including Fabric workspaces). Analyze data to identify trends, ensure data quality, collaborate with stakeholders to gather requirements, and present actionable insights to support decision-making.

Design, develop, QA, and maintain BI dashboards using Qlik to transform structured and unstructured data into actionable visualizations. Partner with clients to explore, clean, analyze data, build user-centric UI elements, and communicate insights to technical and non-technical stakeholders.

Design and lead data science solutions: ingest and analyze structured and unstructured data, build predictive models and NLP systems, integrate enterprise tools, and advise clients while guiding teammates on AI/ML workflows and deployments.

Lead and architect large-scale data products and pipelines across teams. Design and deliver ELT/ETL solutions, evaluate tools, ensure scalability and integrity, influence technology decisions, and research emerging big-data/cloud methodologies (AWS, Hadoop/EMR, Spark, Kafka, Snowflake). Partner with architects and stakeholders to drive implementation and operationalize production workloads.

The Senior Data & Automation Engineer role involves automating IT operations, building data pipelines, applying AI/ML, and collaborating cross-functionally to enhance user experience and efficiency.

Design, build, and maintain large-scale data pipelines and APIs for Ventura OS. Optimize data processing workflows, integrate ML models into production, ensure data quality and observability, and collaborate across teams to drive architecture and data infrastructure decisions for streaming and content recommendation use cases.

Design, build, and operate Azure Lakehouse architectures (Databricks, ADLS Gen2, Synapse, ADF); develop and optimize scalable ETL/ELT pipelines and Spark batch/streaming jobs using Python, SQL, and Scala; ensure data quality, performance tuning, cost optimization, production deployments, monitoring, and cross-functional collaboration.

Design, implement, and maintain data analytics platforms, pipelines, dashboards, and ML models for animal nutrition research. Collaborate with researchers, barn managers, and cross-functional teams to collect and analyze farm data, deliver insights and alerts, and develop digital products to improve research, productivity, and sales.

The Senior Data Engineer will design, implement, and manage data pipelines for real-time analytics and ML training datasets, ensuring efficient data flow and quality in a hybrid environment.