data engineer for sustainability operations

Grid Dynamics provides technology consulting, platform and product engineering, AI, and advanced analytics services to enterprise companies undergoing business transformation. It specializes in enterprise AI, data, analytics, cloud and DevOps, application modernization, and customer experience.

• Act as the primary technical lead, set architectural standards, shape technical approaches for epics and stories, and establish DataOps best practices;
• Design, build, and scale a new Azure-native data platform, ensuring long-term maintainability and reliability;
• Review user stories for clarity, feasibility, and architectural alignment; oversee code quality through reviews, acceptance criteria, and hands-on guidance;
• Establish CI/CD pipelines, automated testing frameworks, and DataOps practices;
• Provide technical direction to data engineers and specialists, mentor team members, unblock complex engineering challenges, and foster an accountable, collaborative culture;
• Partner with enterprise architects, product owners, and UK-based business stakeholders to translate business intent into implementable technical solutions.

• 5+ Years of hands-on data engineering experience designing and delivering large-scale data platforms;
• Deep expertise in enterprise data platforms on Microsoft Azure, with hands-on experience in Microsoft Fabric, Azure Databricks, or Azure Data Factory;
• Strong command of modern data modeling, enterprise data integration, and DataOps practices;
• Experience in Agile/Scrum environments using Jira and Confluence, with the autonomy to lead teams of senior professionals;
• Excellent written and spoken English; able to whiteboard technical solutions and explain architectural rationale to senior stakeholders;
• Nice to have: Building an enterprise-scale data platform from scratch, experience with Azure Purview, Synapse Analytics, or Delta Lake architectures, and a background in sustainability, environmental operations, supply chain, or managing multi-vendor corporate data flows.

• Competitive salary;
• Flexible schedule;
• Benefits package including medical insurance and sports;
• Corporate social events;
• Professional development opportunities;
• Well-equipped office.