Consultant, Data Engineering

<div class="content-intro"><p style="text-align: justify;"><span style="font-family: arial, helvetica, sans-serif; color: rgb(0, 0, 0); font-size: 12pt;"><strong>A Little About Us</strong></span></p> <p style="text-align: justify;" data-renderer-start-pos="362"><span style="font-family: arial, helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">EDB provides a data and AI platform that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any cloud, anywhere. EDB empowers enterprises to control risk, manage costs and scale efficiently for a data and AI led world. Serving more than 1,500 customers globally and as the leading contributor to the vibrant and fast-growing PostgreSQL community, EDB supports major government organizations, financial services, media and information technology companies. EDB’s data-driven solutions enable customers to modernize legacy systems and break data silos while leveraging enterprise-grade open source technologies. EDB delivers the confidence of up to 99.999% high availability with mission critical capabilities built in such as security, compliance controls, and observability. For more information, visit <a class="cc-1rn59kg" style="color: rgb(0, 0, 0);" href="http://www.enterprisedb.com/" data-testid="link-with-safety" data-renderer-mark="true">www.enterprisedb.com</a></span></p></div><p><strong>Position Overview</strong></p> <p>As a Consultant in our Professional Services team, you will act as a trusted technical advisor to our clients, helping them unlock the value of their data. You will bridge the gap between business requirements and technical execution, designing and building robust data pipelines, analytics frameworks, and AI/ML-driven solutions.</p> <p>This role is ideal for a high-performing Data Engineer or Analytics Consultant who thrives in a client-facing environment, loves solving complex data puzzles, and wants to deliver cutting-edge data and AI solutions.</p> <p> </p> <p><strong>Key Responsibilities</strong></p> <ul> <li><strong>Delivery & Implementation:</strong> Partner with clients to implement scalable data engineering pipelines, data models, data warehouses, and analytics platforms from inception to deployment.</li> <li><strong>Data Infrastructure & Platform Management</strong> Set up and configure the underlying platforms — storage, compute clusters, data warehouses. Identify and implement performance tuning as required.</li> <li><strong>Analytics & Insights:</strong> Develop advanced analytics models, dashboards, and reporting frameworks