As a Data Platform Engineer, a typical day involves contributing to the development and refinement of the data platform blueprint and design. This role requires close collaboration with Integration Architects and Data Architects to ensure seamless integration across various systems and data models. The position demands active engagement in aligning platform components to support organizational data needs, fostering a cohesive and efficient data environment. The engineer plays a vital role in coordinating efforts that enhance the overall data infrastructure, ensuring that the platform supports current and future business requirements effectively.
Responsibilities
Be an SME, collaborate and manage the team to perform
Responsible for team decisions
Engage with multiple teams and contribute on key decisions
Provide solutions to problems for their immediate team and across multiple teams
Facilitate communication between technical and non-technical stakeholders to ensure clarity in project objectives and deliverables
Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data.
Responsibilities
Be a SME with deep knowledge and experience
Provide solutions to problems that apply across multiple teams
Lead the development and refinement of language model architectures to meet evolving project requirements
Mentor and guide junior team members to foster skill development and knowledge sharing
The person in this role will be part of the Data & AI team, delivering a set of tasks that provide insights into the effectiveness of HR processes, procedures and policies. The role helps the business make data-driven decisions based on the information collected and enables HR to move from an operational to a tactical or strategic partner.
Responsibilities
Design and develop Data Pipelines
Perform Data Engineering and create HCM integrations
Build and maintain Python-based workflows for data extraction, cleansing, transformation and analysis
Extract and prepare data from Workday and or other HR systems using SQL
Translate analytical findings into clear, actionable insights that help HR make data-driven decisions
The person in this role will lead the day-to-day delivery of the HR Analytics team within Data & AI, ensuring that analyses on the effectiveness of HR processes, procedures and policies are accurate, timely and business-relevant.
Responsibilities
Coordinate the daily activities of the analytics team to ensure timely and accurate delivery of analyses, insights and dashboards
Review and guide the team’s work on HR analytics, text analytics and data science or machine learning models, ensuring methodological soundness, model accuracy and explainability
Act as the first point of contact for team escalations and support issue resolution with analysts and technical teams
Collaborate with the Analytics Manager on planning, prioritization, capacity planning and workload balancing
Engage with stakeholders to gather requirements and ensure alignment between business questions and analytical outputs
Design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes.
Responsibilities
Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions
Develop and implement machine learning algorithms, models, and computational systems
Design and build scalable data pipelines to support model training and production with DevOps & MLOps
Customize and apply Deep Learning and Gen AI models for various use cases
Engage in research and development of new AI and high-performance compute algorithms, models, and simulations
Lead the complete knowledge engineering scope on most strategic and complex programs, setting strategy and architecture end to end, and leading and developing teams of engineers.
Responsibilities
Lead the complete Knowledge Graph solution scope that transforms data architecture for most strategic and complex clients
Own the design, development, and implementation of AI and semantic solutions across the program
Partner with project leaders, delivery leads, and senior client stakeholders to create stand-out, graph-powered offerings
Develop trusted-advisor relationships with senior client stakeholders
Make and defend the business case for the semantic layer solution at the executive level
Requirements
Bachelor's degree or equivalent
Ph.D. in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field
Werkstudent (m/w/d) Market Research & Data Analytics
Responsibilities
Recherche und Analyse von Markt-, Technologie- und Wettbewerbsentwicklungen im Automobilbereich und für Industrieanwendungen
Unterstützung bei Marktanalysen, Wettbewerbsanalysen und strategischen Projekten
Aufbereitung, Analyse und Visualisierung von Daten mit Microsoft Excel und PowerPoint
Erstellung von Management-Präsentationen und Entscheidungsvorlagen
Nutzung und Auswertung interner und externer Markt- und Datenquellen
Requirements
Laufendes Studium in Wirtschaftsingenieurwesen, Betriebswirtschaftslehre, Volkswirtschaftslehre, Wirtschaftswissenschaften, Wirtschaftsinformatik, Business Analytics, Data Analytics, Data Science, Marketing, Marktforschung, Maschinenbau, Fahrzeugtechnik, Elektrotechnik, Energietechnik oder vergleichbare Studiengänge
Internship in Maintenance for the new factory unit in Viana do Castelo, focusing on supporting production lines, resolving faults, and continuous improvement.
Responsibilities
Accompanying a production line
Support in identifying, resolving, and preventing faults
Developing maintenance instructions
Continuous improvement activities on equipment
Requirements
Technical or Higher Education in Maintenance (Electronics, Electromechanics, Mechatronics, Mechanical, Automation or similar)