Senior Data Engineer: Data Infrastructure

Data Engineer to architect and build scalable data pipelines using Spark/Flink, migrate workloads to Apache Iceberg, and develop APIs. Requires Python, Kafka, SQL, and data modeling expertise. Role is remote or hybrid.

Lead a team of data engineers to build scalable data solutions, mentor team members, and contribute to the company's data strategy. Requires cloud platform experience and C# programming skills.

Data Engineer to build and maintain data architectures, pipelines, and systems. Requires experience in data engineering, cloud infrastructure, and data pipeline automation.

Seeking a Data Engineer to build and maintain robust data architectures, pipelines, and systems for data collection, storage, and processing. Responsibilities include designing scalable data workflows, optimizing ETL processes, managing cloud-based data infrastructure, and ensuring data quality and governance.

Seeking a Senior Data Engineer with extensive Teradata experience, advanced SQL skills, and proficiency in Ab Initio for ETL. Must be comfortable with Unix/Linux, Git, Jira, and Agile methodologies. Fluent English is mandatory.

Designs, builds, and maintains data solutions for generation, collection, and processing. Works with large datasets, develops reports, supports data governance, and visualizes data. Leverages cloud platforms and collaborates with cross-functional teams.

Engenheiro de automação de infraestrutura de dados com experiência em administração, implementação e automação de bases de dados, utilizando Ansible. Conhecimentos em sistemas de gestão de bases de dados e valorização de experiência com Oracle GoldenGate.

Scandinavian Tobacco Group (STG) is seeking a Senior SAP Data Engineer in Lisbon, Portugal, to design and scale a cloud-native data platform integrating SAP Datasphere, BDC, SAC, and modern analytics tools. You will build data pipelines from SAP sources and drive data products that power reporting, planning, and advanced analytics across the enterprise. The...

Seeking a Senior/Lead Data Engineer with 5+ years of cloud-native experience in data architecture, ingestion, modeling, and orchestration. Proficient in Azure technologies, data warehousing, Python, SQL, Spark, and DevOps practices.