DataOps Product Owner - Cape Town (In office)

DataOps Product Owner - Cape Town (In office) Are you a talented DataOps Engineer (Product Owner) looking for your next role? OfferZen, the developer jobs marketplace, reverses the job search process. We connect data and product professionals with a vast network of top tech companies that are eager to apply to interview you! This could be the last job posting you ever have to click on! Why waste time applying to dozens of companies when you could build one OfferZen profile and have them come to you? As our DataOps Product Owner, you will be responsible for defining and prioritizing product features in collaboration with cross-functional teams. You will work closely with data engineers, data scientists, and other stakeholders to ensure that the data products we deliver meet the needs of our customers. Your main responsibilities will include: • Defining and prioritizing product features based on customer needs and market trends. • Collaborating with cross-functional teams to develop and refine data products. • Working closely with data engineers, data scientists, and other stakeholders to ensure that the data products we deliver meet the needs of our customers. • Developing and maintaining product roadmaps and backlogs. • Identifying and mitigating risks associated with new product features or changes to existing ones. • Ensuring compliance with company policies and procedures. As a DataOps Product Owner, you will have the opportunity to work on a wide range of projects, from data warehousing and business intelligence to machine learning and artificial intelligence. You will be part of a dynamic team that is passionate about delivering high-quality products that make a real impact. If you are looking for a challenging and rewarding role that allows you to grow professionally and personally, then this could be the perfect opportunity for you! Requirements: • Bachelor's degree in Computer Science or related field. • 3+ years of experience as a DataOps Engineer (Product Owner). • Strong understanding of data engineering concepts and technologies. • Experience with data warehousing, business intelligence, machine learning, and artificial intelligence. • Excellent communication and collaboration skills. • Ability to work in a fast-paced environment and prioritize tasks effectively. Benefits: • Competitive salary. • Comprehensive benefits package. • Opportunities for professional growth and development. • Collaborative and dynamic work environment.