Payments Data Tech Lead

Localization: Lisbon or PortoWe are looking for a Data Engineer Tech Lead to join our IT Payments Data Team. The team is responsible for the evolution and support of the payments product, designing, developing, and implementing scalable and efficient data solutions for the payments domain.Main ResponsibilitiesAct as a technical referent for the team, developing code for processing and analyzing large and complex datasets (e.g., unstructured tracking data, large full-text datasets, graph data).Design and implement highly scalable batch and real-time data processing workflows and components that provide data-driven functionality (e.g., search, recommendation, classification services), leveraging machine learning, Big Data technologies, and distributed systems.Build, monitor, and operate data services within the infrastructure, enhancing data quality, utility, and automating processes.Deploy solutions on cloud technologies, primarily Google Cloud Platform (GCP).Collaborate closely with Data Scientists and Analysts to support the design, implementation, and evaluation of algorithms, ML models, and other data-driven features.Guide and mentor team members through technical challenges related to data engineering and the tech stack.Required Skills & QualificationsEducation & ExperienceDegree in Computer Science, Information Technology, Computer Engineering, or a related field.3–9 years of experience in designing and implementing scalable software and data-driven services.Technical SkillsStrong experience with Big Data technologies, data storages (relational databases, key-value stores), data warehouses, data lakes, and lakehouses.Programming experience with Spark, Python, Java, Scala (for batch and real-time processing).Experience building and optimizing data pipelines for large datasets.Experience in cloud environments, especially GCP services (BigQuery, BigTable, Dataproc, GCS, Composer, GKE).Familiarity with low-code/no-code ETL tools (e.g., YAML).Strong SQL skills and experience with Business Intelligence.Experience with workflow management platforms (Airflow) and collaborative tools (Jupyter).Knowledge of Agile methodologies (SAFe/Scrum).Understanding of software development, CI/CD, DevOps, and QA practices (e.g., XLRelease/XLDeploy, Terraform, Jenkins, Git, Bitbucket).Nice to HaveExperience with Microsoft Azure and Power BI.Familiarity with AI/ML concepts and technologies.Experience in information retrieval or extraction is a plus.Personal SkillsStrong problem-solving and analytical skills.Excellent communication and collaboration skills.Ability to mentor and guide junior team members.Comfortable working in a fast-paced, international, and cross-functional team environment.