Data Solutions Engineer
Lonza is hiring a Data Solutions Engineer in Hyderabad, India. Level rates it ; you can apply on Lonza.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Level lists 566 other open roles at Lonza.
- The role was posted in the last few days.
AI in this role
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.
- Experience developing web-based applications using modern technologies and frameworks.
About Lonza
At Lonza, our people are our greatest strength. With 30+ sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values of Collaboration, Accountability, Excellence, Passion and Integrity reflect who we are and how we work together. Everyone’s ideas, big or small, have the potential to improve millions of lives, and that’s the kind of work we want you to be part of.
Innovation thrives when people from all backgrounds bring their unique perspectives to the table. At Lonza, we value diversity and are committed to creating an inclusive environment for all employees. If you’re ready to help turn our customers’ breakthrough ideas into viable therapies, we look forward to welcoming you on board.
Ready to shape the future of life sciences? Apply now.How we rate this
Data Solutions Engineer at Lonza rates 12 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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