Top Data Engineer Jobs in Portugal

This role involves managing data collection for model training, extending cloud infrastructure, and collaborating on data strategies to enhance product output.

As a Software Engineer in Data Infrastructure, you will enhance data collection and manage ingestion pipelines to support AI model training, collaborating closely with scientists.

The Software Engineer will focus on data collection and managing the ingestion pipeline, collaborating with scientists to enhance model training with high-quality datasets.

Lead ETL and data architecture for AML, trade/sales surveillance, and compliance data repositories. Design and develop complex Informatica PowerCenter 9.1 mappings, enforce ETL architecture standards, tune performance, automate and maintain ETL utilities, collaborate with BAs and DBAs, provide production support, and mentor junior ETL developers.

Design and implement large-scale data processing solutions (GB/PB) using Hadoop, NoSQL, MPP and related open-source tech. Participate in architecture/design, provide implementation details to offshore teams, produce whitepapers/case studies, ensure timely quality deliveries, and share knowledge through training sessions.

Designs and implements large-scale data solutions using Java and open-source big data technologies (Hadoop, NoSQL, Solr, Storm, Kafka). Participates in architecture and design discussions, delivers implementations, collaborates with senior architects and offshore teams, authors technical papers, and shares knowledge across the organization while ensuring performance, scalability, and timely quality delivery.

Work on client onboarding/migration as a Data Analyst/Database Developer: gather business requirements, perform data analysis, mapping, profiling and query optimization. Coordinate with US/UK/India teams and vendors, ensure data quality via control scripts, identify source systems and eliminate redundancies. Assist BUAT, train new resources, and support extracts, views, and client reports. Financial services domain expertise required.

Design, implement, and maintain enterprise database solutions and Big Data (Hadoop) systems. Lead database architecture, HA/DR, migrations, patching, performance tuning, security, capacity planning, monitoring, and incident recovery. Provide technical leadership, SOP documentation, and support BI/data mining activities. Role requires shift work.

Design and build scalable platforms for data ingestion and storage, collaborate with hardware engineers, and define engineering processes at Sift.

Designs, builds, and supports data warehouse, BI and data visualization solutions. Gathers stakeholder requirements, develops ETL/transformation and integration services, ensures data design, transport, access, quality and metadata, and promotes best practices and standards across BI initiatives.

As a Staff Data Engineer, you'll lead the data engineering team, own the Databricks platform, build production pipelines, and engage with stakeholders while driving architectural judgement and maintaining platform quality.

The Senior Software Engineer will design and build scalable data solutions, manage backend systems, and enhance performance leveraging Golang and Python. Responsibilities include optimizing ETL processes and collaborating with teams to meet evolving customer needs.

As a Senior Data Engineer, you'll transform raw data into datasets, design production pipelines, integrate customer data, and collaborate with various teams to ensure data quality and reliability.

Develop scalable data pipelines for autonomous driving, enhancing data extraction and labeling processes, and collaborating with cross-functional teams on ML models.

The Senior Data Engineer will design and implement lakehouse architectures, optimize ClickHouse deployments, develop ETL/ELT pipelines, and create data models to support analytical and operational functions.

Lead the design and implementation of data pipelines and infrastructure, set technical standards, mentor engineers, and manage data governance.

Design and build data pipelines and infrastructure; maintain data quality and accessibility; optimize data warehouse architecture while collaborating with teams to meet data needs.

The Senior Staff Engineer will lead ML initiatives, architect ML systems, build models, integrate AI solutions, and mentor data scientists.

The Sr Data Engineer will design and optimize data pipelines, ensure data quality, facilitate collaboration among teams, and evaluate new technologies to enhance data engineering capabilities.

As an MLOps engineer, you will develop optimized data pipelines, enhance data engine architecture, and integrate foundation models while working closely with DoD customers.

As a Senior Staff Machine Learning Engineer, you will drive AI product development, collaborate with cross-functional teams, and enhance ML models at scale.

As a Data & Automation Engineer, you'll build data platforms, design data models, manage datasets, and optimize data pipelines for analytics and decision-making.

The Staff Software Engineer will lead the evolution of Slickdeals' data engineering ecosystem by architecting scalable platforms, maintaining data workflows, and mentoring engineers in a collaborative environment.

Lead design and delivery of large-scale data pipelines and warehouse systems. Define technical strategy, enforce data governance, improve developer efficiency, mentor engineers, and align data engineering efforts with business goals to enable analytics and ML at scale.

Develop and maintain web applications and services using Microsoft .NET stack and JavaScript frameworks. Build solutions with AngularJS, NodeJS, MongoDB; design and implement WCF/SOAP web services, XML/XSLT; participate across SDLC from architecture through maintenance.