Top Data Engineer Jobs in Portugal

Design and build a novel, highly scalable data infrastructure to aggregate and stage simulation outputs and user inputs for LLM consumption. Architect massive batch pipelines, complex relational data models, and low-latency distributed processing. Lead technical direction, solve ambiguous first-principles problems, and optimize data for downstream AI decision systems supporting government customers.

Manage and optimize cloud-based streaming platforms, ensuring high availability and performance for real-time analytics. Collaborate across teams to enhance data pipelines and integrate AI solutions.

Build and maintain data integration interfaces and ingestion pipelines between EHR systems and the Bayesian platform. Collaborate with client technical teams, implement automated integration tests, deploy and support go-lives, troubleshoot data correctness end-to-end, and develop tooling and automation (including LLM-driven) to scale integrations.

Build and maintain connectors that parse ETL tools, databases, and vendor formats; convert extracted metadata into accurate lineage/dependency models; create automated tests and known-good datasets; improve connector framework and document reusable patterns; integrate AI into development, testing, and debugging workflows.

Design and implement algorithms and cloud-native tools to analyze vehicle data streams for fault identification, prediction, and root-cause analysis. Define data acquisition requirements, analyze CAN logs, query and process large cloud datasets (AWS/Google Cloud/Azure Data Explorer) using Python, and support testing, validation, and continuous improvement of vehicle electrical and software systems.

Lead migration to a Databricks lakehouse, design and maintain dbt medallion pipelines, improve ingestion and reliability, implement data quality and governance, build curated datasets, mentor engineers, and drive platform standards and documentation.

Design, implement, and maintain data interactions and backend systems using Python and Apache Spark. Build APIs, optimize ETL and distributed data processes, contribute to UI and automated testing, and support CI/CD-driven deployments within an agile team focused on healthcare quality reporting.

Support and monitor data pipelines and curated datasets, perform exploratory analysis and model validation, develop SQL data models in Snowflake, troubleshoot ETL/ELT jobs, integrate proprietary and third-party data, validate AI-generated insights, and collaborate with stakeholders to deliver Customer 360 and leadership analytics.

Design, build, and maintain scalable data pipelines, ETL processes, and automation tools (Python, SQL, Power Apps). Partner with stakeholders on technical designs, develop Streamlit front-ends on AWS, integrate systems (SQL Server, Active Directory), and recommend process improvements and emerging technologies to enhance internal audit automation and insights.

Lead architecture and development of Beacon's centralized Datastore, designing scalable data models, event-driven pipelines, and APIs. Coach engineers, draft RFCs, set platform standards, and collaborate with product and scientific teams to ensure data integrity, maintainability, and operational reliability for clinical-grade brain and physiological data.

Design, build, and operate high-performance inference platforms for large ML models, focusing on request routing, batching, caching, autoscaling, GPU utilization, observability, and performance trade-offs to deliver low-latency, high-throughput production serving.

Lead design, build, and operate scalable AWS-based data pipelines and real-time ingestion for analytics and ML. Implement data modeling, automated validation, observability, and event-driven architectures; mentor engineers and collaborate with Product and ML teams to productionize feature stores and ML-ready datasets.

Design, deploy, and maintain global data platform infrastructure with emphasis on multi-region Databricks orchestration. Lead system architecture, optimize Databricks (Delta, Spark, Unity Catalog), implement IaC with Terraform, build CI/CD pipelines, troubleshoot platform issues, and collaborate with cross-functional teams to meet technical, governance, and performance requirements.

Design, build, and maintain scalable ETL/ELT pipelines, integrations, and data warehouses (Snowflake, MySQL, SQL Server). Implement workflow orchestration (Airflow), data quality, security, and CI/CD. Partner with analysts and tech teams, troubleshoot systems, and provide technical leadership and mentorship to shape long-term data strategy.

Design, build, and maintain scalable cloud and hybrid data platforms, ETL/ELT pipelines, and data models. Implement CI/CD and DevOps practices, ensure data quality, security, and governance, optimize production pipelines, lead modernization and integration efforts, and mentor junior engineers.

Lead electronic warfare (EW) research and mission data (MD) development, validation, and testing. Support EW system programming/reprogramming, prepare V&V test plans, manage MD configuration control, collect and analyze test data, and coordinate with systems engineers. Requires travel (domestic/international) and TS/SCI clearance.

Design, operate, and optimize a secure, scalable Snowflake data platform for Workforce Analytics. Enable governed, least-privilege access for users, applications, and AI tools. Own Posit (RStudio) platform connectivity and usability. Partner on transformation pipelines (Coalesce), CI/CD, data quality, and platform governance to support analysts and data scientists.

Lead and deliver enterprise data programs: design Snowflake-based data solutions, data models, ETL and warehouse applications, provide architecture direction, drive technology transformation, collaborate with stakeholders, and apply advanced analytics (ML/AI/GenAI).

Develop and validate daily data feeds, reports, and applications; vet other developers' work for data integrity; collaborate with business partners; participate in Agile ceremonies; identify and improve ETL performance; maintain clear documentation.

Build and maintain dbt models and ETL/ELT pipelines on BigQuery and Daasity, connect marketing, inventory, and finance data, support KPI tracking and predictive models, deploy dashboards, and collaborate with AI and business teams to ensure clean warehouse outputs for analytics and automation.

Lead design and implementation of data architecture, ETL/ELT pipelines, and data models. Build dashboards (Power BI/Tableau), define performance metrics, ensure data quality and lineage, automate reporting, mentor junior analysts, present findings to stakeholders, and document processes. Onsite support in Frederick, MD with required business-hours availability.

Design, build, and operate the Semantic Data Team's control plane and DataOps backbone. Implement orchestration, observability, governance (lineage, RBAC, PII protection), RAG/LLM-driven workflows, self-service portals, quality gates, and integrations with ingestion, MDM, and data product layers to deliver trusted, production-grade semantic data assets.

Lead design and implementation of electrical systems for hyper-scale data centers, ensure code compliance, produce schematics and installation drawings, perform load and capacity analysis, maintain systems and safety programs, mentor staff, act as Engineer of Record, and support client relationships and project budgeting.

Lead electrical design for hyper-scale data centers: medium/low-voltage distribution, backup and emergency power, schematics, BOMs, and installation drawings. Ensure NEC/IEC compliance, optimize load balancing and capacity planning, perform testing and preventative maintenance, develop safety procedures, mentor engineers, act as Engineer of Record, manage budgets and schedules, and provide technical client leadership.

Lead electrical design for hyperscale data centers including medium/low-voltage distribution, backup and emergency power, schematics, load analysis, maintenance procedures, NEC/IEC compliance, mentoring staff, acting as Engineer of Record, client technical leadership, and occasional onsite travel.