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Capgemini Engineering is looking for a DevOps Engineer to perform research, design, implementation, and support tasks as part of our dynamic team. Your role will involve investigating, creating, and implementing solutions for existing technical challenges, including building and enhancing the frameworks and tools used by other development teams. You will be instrumental in optimizing our client's infrastructure, which supports one of the world's largest social media platforms, handling one billion events per day. Join us in this exciting opportunity to leverage your skills and contribute to innovative projects that make a global impact.

Capgemini Engineering is looking for a DevOps Engineer to perform research, design, implementation, and support tasks as part of our dynamic team. You will be instrumental in optimizing our client's infrastructure, which supports one of the world's largest social media platforms, handling one billion events per day. Your role will involve investigating, creating, and implementing solutions for existing technical challenges, including building and enhancing the frameworks and tools used by other development teams.

Teralytics is looking for a Senior Data Engineer to optimize and scale our data processing pipelines. You will develop and manage scalable data pipelines using Scala and Apache Spark, deploy workflows in Kubernetes, and work with big data technologies like Hadoop and orchestration tools like Apache Airflow. A strong background in cloud platforms and data science principles is desired.

InterEx Group is looking for a Lead AI Engineer specializing in Cloud and Machine Learning to join the AI Platform team. The ideal candidate will design and develop cloud-based solutions and machine learning models for Sony's business units. Required skills include 5 years of experience in back-end cloud design, RESTful web services, and proficiency in Python and cloud services such as AWS and GCP.

Mastercard is looking for Software Engineer II. As a member of an agile team, you will design, build, test, and deploy new products and features, utilizing object-oriented languages such as Java/Spring or C#, while also working with modern front-end frameworks like React with Redux and Typescript. The ideal candidate will have experience with complex features in full-stack applications and a strong background in data engineering or data science.

Meritis | B Corp™ is looking for Cloud Data Engineers with at least 3 years of experience to participate in various projects across clients in the Luxury/Retail and Energy sectors. This role involves working in Cloud environments (AWS, Azure, GCP) and plays a vital role in managing, optimizing, and operating cloud data infrastructure.

Lotlinx is looking for a Senior Data Engineer to develop and deploy cloud-first ETL processes and manage data in the Automotive Digital Advertising industry. The ideal candidate will thrive in a collaborative environment, working with various teams to improve data aggregation processes. Qualifications include 5 years in data engineering, proficiency in SQL, and expertise with cloud platforms like AWS and GCP.

Lotlinx is looking for a Senior Data Engineer to drive the development and deployment of cloud-first ETL processes, Data management, and Data Warehousing in the Automotive Digital Advertising industry. The candidate should be adept in utilizing data to enhance and optimize our data aggregation processes, functioning well in a fast-paced, team-oriented environment.

MPower Plus is looking for a Data Scientist to enhance our analytics capabilities. The candidate will be responsible for conducting statistical analysis and developing machine learning models to provide data-driven insights. The ideal candidate should have a strong educational background in Data Science or a related field, along with technical proficiency in programming languages like Python or R. Experience with cloud platforms and big data technologies is also required.

MPower Plus is looking for a Data Engineer responsible for designing and implementing data solutions. Candidates should have a bachelor's or master's degree in computer science, Information Technology, Data Engineering, or related fields, and be proficient in programming languages such as Python, Java, or Scala. The ideal candidate will have strong knowledge of SQL, relational and NoSQL databases, along with experience in ETL frameworks and cloud platforms.