Top Data Engineer Jobs

Lead Machine Learning Engineer responsible for providing technical leadership, implementing ML strategies, and mentoring junior engineers at Personio. The role involves designing and deploying scalable ML algorithms across all product groups within the company.

Design and implement advanced signal processing techniques for automotive applications, collaborate with cross-functional teams to integrate algorithms, conduct testing and validation, optimize algorithms for performance, stay current with advancements in signal processing and automotive technologies.

Design and implement advanced signal processing techniques for prognostics applications in vehicles, collaborate with cross-functional teams to integrate signal processing algorithms, optimize algorithms for performance and reliability, stay updated with latest signal processing and automotive technologies.

Associate Database Engineer role at SHEIN, responsible for maintaining scalable and reliable database environments, performance tuning, automation, and working with development teams. Requires a Bachelor's degree in Computer Science, MySQL experience, cloud provider experience, and strong problem-solving skills.

Design and develop robust and scalable data models for analytical stakeholders. Implement best practices around Data Governance, Data Quality, and pipeline optimization. Lead efforts to build curated data sets for reporting and analytics. Collaborate with data engineers and platform teams to create analytics pipelines. Train users on BI tools and dashboards. Partner with analytics squads on the analytics roadmap.

Collaborate with Agile teams to design, develop, test, and implement technical solutions using full-stack development tools and technologies. Stay current with tech trends, experiment with new technologies, and mentor team members. Deliver cloud-based solutions to empower customers financially.

Lead Data Engineer position at Takeda Pharmaceutical in the US RDBU. Responsible for developing and maintaining data pipelines, leading technical solution reviews, supporting complex data challenges, operationalizing data products, and designing data architectures. Collaborates with stakeholders and teams to drive innovation and create effective data solutions.

Establish and uphold an enterprise data governance framework for MTI & LogOps solutions, ensuring adherence to data policies and standards. Collaborate with business leadership, develop custom models/algorithms, execute analytics agenda, and drive change within the organization. Responsible for managing data associated with MTI & LogOps, system implementations, cross-functional collaboration, and stakeholder management.

Establish and uphold an enterprise data governance framework for MTI & LogOps solutions, ensuring consistency and quality of data. Collaborate with business leadership to execute analytics agenda, develop custom models, and drive long-term business performance. Manage stakeholder relationships and drive change through cross-functional collaboration.

Establish and uphold an enterprise data governance framework for MTI & LogOps solutions at Mondelēz International. Collaborate with business leadership to execute the analytics agenda, develop custom models/algorithms, and drive long-term business performance through data insights. Lead strategic projects and ensure adherence to data policies and standards.