Data Solutions Engineer

Data Solutions Engineer Hyderabad, India Join Lonza's Global IT Center of Excellence for Digital and Data and play a key role in delivering enterprise-scale data solutions that support manufacturing, quality, and business operations worldwide. This is an exciting opportunity to work with modern data technologies, collaborate with global teams, and help transform data into actionable insights that drive business outcomes. This is an office-first role. Working together in person supports close, real-time collaboration and team alignment, enabling us to deliver our best work. You will work primarily in the office, with the flexibility to work remotely for 20% of your time (one day per week). What you will get: An agile career and dynamic working culture. Opportunities to work on global digital and data transformation initiatives. Exposure to modern cloud technologies, data platforms, and analytics solutions. An inclusive and ethical workplace that values diverse perspectives. Compensation programs that recognize high performance. A variety of benefits dependent on role and location. The full list of our global benefits can be found here: https://www.lonza.com/careers/benefits What you will do: Design, build, and enhance scalable data solutions that support operational, manufacturing, quality, and business processes globally. Translate business and functional data requirements into robust technical architectures and solutions. Develop and maintain end-to-end data pipelines, data models, and transformation processes using Microsoft Azure technologies. Create data products and reporting capabilities that enable analytics, KPI monitoring, and business decision-making. Collaborate with global stakeholders, architects, engineers, analysts, and product teams to deliver business-aligned solutions. Contribute to data governance initiatives, including data quality, metadata management, lineage, and access controls. Support continuous improvement through automation, modern engineering practices, and self-service data capabilities. What we are looking for: Experience designing and delivering enterprise data engineering or data solutions in complex business environments. Strong expertise in SQL development, SQL Server, database design, and data modeling. Experience working with Microsoft Azure data platform technologies and modern ELT/ETL practices. Knowledge of data architecture principles, data transformation, and data lineage management. Familiarity with DevOps practices, CI/CD pipelines, and cloud-based development methodologies. Strong stakeholder management and communication skills, with the ability to engage both technical and non-technical audiences. Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related technical discipline. Relevant consulting or equivalent professional experience will also be considered. Preferred: Microsoft Azure or Data Engineering certifications. Experience with Microsoft Fabric.