Raas Infotek is looking for a Data Engineer to lead technical teams in designing and implementing solutions utilizing technologies such as Apache Spark, Scala, and Python. The ideal candidate will provide technical expertise, collaborate with stakeholders to define project scopes, and ensure best practices in coding and deployment processes. Strong proficiency in Apache Spark, Scala, and Python is required, along with experience in team leadership and project management.
VTRAC Consulting Corporation is looking for a Sr. Data Engineer to design, build, and maintain large-scale data systems such as data pipelines, data warehouses, and data lakes. The ideal candidate will have over 8 years of experience in data engineering and programming languages including Python. You will collaborate with data architects and data scientists to ensure the data systems meet business needs.
VTRAC Consulting Corporation is looking for a Sr. Data Engineer (Spark, AWS, Python) to join their team. This role involves designing, building, and maintaining large-scale data systems such as data pipelines, data warehouses, and data lakes. Key responsibilities include collaborating with data architects and data scientists to ensure data systems meet business needs. The ideal candidate should have 8 years of experience in data engineering and strong skills in programming languages including Python, Java, and Scala.
Cognizant is looking for a Senior Machine Learning Engineer to join our Artificial Intelligence & Analytics Team. In this role, you will design AI systems, ensuring scalability and reliability while collaborating with cross-functional teams to integrate advanced models into production environments. We value innovative thinkers with experience in AI and Machine Learning.
Xccelerated | Part of Xebia is looking for a Machine Learning Engineer. This role involves working as a ML(ops) engineer at top-tier clients like Lely, ING, ASML, or KLM. Responsibilities include building production-ready, scalable machine learning systems, productionizing ML models, and improving automated ML pipelines. Candidates should have a technical degree and experience in machine learning or data science.
Alten is looking for a Data Engineer – Spark & Cloud Data Pipelines to design, build, and optimize high-performance data pipelines in a dynamic enterprise environment. You will work at the intersection of data engineering, cloud infrastructure, and advanced analytics to drive data-driven decision-making across the organization. This role involves close collaboration with data scientists, architects, and business stakeholders to implement scalable data solutions.
Synchrone Fr is looking for a Data Engineer Cloud H/F to join ambitious digital transformation projects. As a Data Engineer, you will be responsible for designing and deploying robust ETL/ELT pipelines on cloud platforms like AWS, GCP, and Azure. You will also optimize real-time and batch data processing using tools like Apache Spark and Kubernetes, ensuring data quality and governance while collaborating with Data Science and DevOps teams.
VisionBI is looking for a Data Engineer with experience in the public sector to build state-of-the-art data solutions within the Microsoft ecosystem. The role involves working closely with clients to provide data solutions that meet legislative and societal objectives, and requires strong communication and collaboration skills. Must have 3-5 years of relevant experience, particularly within the government sector, and technical skills in Python, Azure services, and data management.
Mastercard is looking for a Principal Engineer / Architect to lead the design, development, and implementation of innovative Dispute Management solutions that enhance the payment experiences for consumers, issuers, and merchants. The successful candidate will provide technical leadership, mentor a team, and design scalable software architectures using Java and microservices while collaborating with cross-functional teams to meet business objectives.
Opus Recruitment Solutions is looking for a Senior Machine Learning Engineer. You will work along the end-to-end machine learning lifecycle, focusing on data engineering and maintaining real-time data pipelines. Your responsibilities include developing and maintaining ETL processes, designing and implementing machine learning algorithms, and deploying and monitoring models in production environments. The ideal candidate should have a Bachelor's or Master's degree in Computer Science, Data Science, or related field, along with 7+ years of professional experience in fraud prevention or credit scoring, and expertise in machine learning algorithms, frameworks, and data engineering.