Top Data Engineer Jobs in Lisbon

Landskill is seeking a Big Data Engineer with experience in big data tools and programming. Duties include data modeling, ETL, and integration, with a focus on personal and professional development.

The Senior Data Engineer will develop and maintain data pipelines, support data analysis, ensure architecture meets business needs, and communicate with stakeholders.

Design and maintain data warehouse systems, develop ETL pipelines, manage datasets for analytics, and implement real-time data solutions.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

Lead migration from BigQuery to a Databricks Lakehouse: design scalable Delta Lake medallion architectures, build and optimize PySpark data pipelines, implement governance with Unity Catalog, support CI/CD, troubleshoot SQL/Spark workloads, collaborate with cross-functional teams, and contribute to platform modernization and reliability.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, and collaborate across teams, contributing to the Data Platform's growth.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

Design, develop, and optimize data solutions to support BI and analytics. Build ETL/data integration processes, schedule and automate jobs, maintain Teradata data warehousing, and apply CI/CD/DevOps practices. Collaborate with stakeholders, document work, and ensure high quality and reliability in a UNIX environment.

Operate, monitor, and support Hadoop-based data lake platforms; provide L3 incident response, troubleshooting, performance tuning, security management (Kerberos, Ranger/Sentry, TLS), capacity and replication management, automation for monitoring, and collaborate to onboard workloads and maintain documentation.

Build and operate shared AI platform infrastructure for LLM applications, agents, RAG, tool calling, and AI workflows. Develop data and knowledge pipelines, secure enterprise integrations, reusable frameworks, deployment and observability standards, and developer tooling. Take AI systems from experimentation to reliable production while ensuring security, privacy, governance, scalability, quality, and cost efficiency. Collaborate across Engineering, Product, and IT to establish practical AI platform patterns and guardrails.

Design and scale mission-critical market data services for stocks, options, crypto, and foreign exchange. Responsibilities include architecting backend systems and APIs, maintaining software quality and test coverage, participating in code reviews, and troubleshooting incidents and bugs. The role uses Go and Python with REST, gRPC, WebSockets, SSE, Docker, Kubernetes, Google Cloud, BigTable, Prometheus, Grafana, and ELK.

Build and modernize cloud-first, data-focused backend microservices using Java and Spring Boot. Design scalable APIs, optimize SQL and stored procedures, integrate with cloud and legacy systems, deploy to Kubernetes with Helm, collaborate with data teams, and ensure testing, CI/CD, and production reliability.

Design and implement scalable, secure, high-availability backend systems and data pipelines. Build microservices in cloud environments, leverage Flink/Spark and Kafka, implement CI/CD and TDD, collaborate with cross-functional teams, and maintain reliable production operations.

As a Senior Software Engineer, you'll design and build scalable market data systems, improve API architecture, and enhance overall system performance, contributing to Alpaca's infrastructure for trading financial assets.

The Tableau Developer will design, build, and maintain Tableau dashboards, optimizing performance and ensuring data accuracy while collaborating with stakeholders.

Design and build highly scalable, low-latency market data systems and APIs. Implement backend services, influence architecture, maintain test coverage, participate in code reviews, troubleshoot incidents, and occasionally be on-call. Work spans streaming and historical market data endpoints and developer-focused API improvements.

Lead hands-on data engineering: design Postgres CDC -> Kafka -> Snowflake pipelines, own ingestion/orchestration/transformation/quality tooling, implement CDC ingestion, build streaming near-real-time pipelines and data quality controls, define data contracts and tenant separation, deliver external client-facing data products, and grow a small data engineering team.

The Data Engineer will construct data pipelines, manage ETL processes, optimize SQL queries, and ensure data integrity, utilizing various tools such as Airflow, Python, and SQL.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.