Lead Expert Data And AI Engineer - Manufacturing

dsm-firmenich; Hyderabad; On-site; INR 3,800,000 - 6,000,000; Full time

Benefits offered by this job

Career growth

Global environment

Science-led culture

Cross-business mobility

Collaborative teams

Your voice matters

Job summary

dsm-firmenich Hyderabad is seeking a Lead Expert Data & AI Engineer to design and maintain robust data pipelines, manage projects, and lead a team in a global Manufacturing/Sustainability context. You will collaborate with data modelers, scientists, and SMEs to deliver scalable data solutions while upholding best practices and automated quality checks.

Expect to work on cutting-edge tools and drive data integration initiatives across environments, contributing to high-impact projects in a

Qualifications

• Expert knowledge in dbt, SQL, Python, Spark (PySpark), Git, Azure DevOps and Databricks.
• Expertise in cloud engineering (e.g., AWS, Azure); experience with infrastructure‑as‑code is a plus, and deploying CI/CD pipelines is a must.
• Strong problem‑solving skills.
• 5 years of experience in creating and maintaining data pipelines.
• Experience handling scientific datasets for cheminformatics or bioinformatics (e.g., microbiome) is a plus.
• Experience with FAIR data principles, data governance, and data standards commonly used in scientific domains.
• Ability to collaborate closely with data experts and SMEs to ensure seamless data integration and transformation.
• Consistent application of best practices in coding, testing and documentation, delivering scalable and reliable data solutions with automated quality checks and monitoring tools.
• Curiosity and a growth mindset, always asking “Is there a better way?” to leverage data for smarter decision‑making.
• Strong focus on deployment development and automation, bringing hands‑on experience in designing, building and optimizing automated deployment pipelines across environments.
• While the role is technically oriented, leadership in team management, project oversight, and stakeholder engagement is a critical part of the position.

Responsibilities

• Provide technical recommendations and evaluate project feasibility and workloads.
• Design and implement efficient pipeline architectures for data ingestion, transformation, and storage.
• Develop modular, efficient code for data transformation and integration, ensuring adherence to modern development practices.
• Perform data ingestion from source systems, including ETL processes, when tables are not available on the data platform.
• Conduct regular pipeline maintenance and upgrades, troubleshooting and resolving issues to ensure optimal performance.
• Implement data quality testing and validation to maintain high standards of data integrity and reliability.
• Collaborate closely with other data engineers, data modelers, data stewards, BI developers, data scientists, and subject matter experts to ensure seamless data integration, knowledge sharing, and delivery of impactful solutions.

Skills

dbt

SQL

Python

Spark

Git

Azure DevOps

Databricks

AWS

Azure

CI/CD

Tools

Databricks

CI/CD

Job description

Job Description

Job Title: Lead Expert Data & AI Engineer – Manufacturing

Location: Hyderabad

Join us as a Data Engineer Expert to design, maintain robust data pipeline and manage team, projects/initiatives ensuring seamless data integration and transformation. Collaborate with data modelers and business partners to drive impactful projects centered around our data. Elevate your career by mastering cutting-edge tools and technologies in a dynamic, innovative, and global environment as part of Manufacturing/Sustainability domain.

Your key responsibilities

• Provide technical recommendations and evaluate project feasibility and workloads.
• Design and implement efficient pipeline architectures for data ingestion, transformation, and storage.
• Develop modular, efficient code for data transformation and integration, ensuring adherence to modern development practices.
• Perform data ingestion from source systems, including ETL processes, when tables are not available on the data platform.
• Conduct regular pipeline maintenance and upgrades, troubleshooting and resolving issues to ensure optimal performance.
• Implement data quality testing and validation to maintain high standards of data integrity and reliability.
• Collaborate closely with other data engineers, data modelers, data stewards, BI developers, data scientists, and subject matter experts to ensure seamless data integration, knowledge sharing, and delivery of impactful solutions.

We offer

• Unique career paths across health, nutrition and beauty, explore what drives you and get the support to make it happen
• A chance to impact millions of consumers every day, sustainability embedded in all we do
• A science-led company, cutting edge research and creativity everywhere, from biotech breakthroughs to sustainability game-changers, you’ll work on what’s next
• Growth that keeps up with you, you join an industry leader that will develop your expertise and leadership
• A culture that lifts you up. with collaborative teams, shared wins, and people who cheer each other on.
• A community where your voice matters. It is essential to serve our customers well.

You bring

• Expert knowledge in dbt, SQL, Python, Spark (PySpark), Git, Azure DevOps and Databricks.
• Expertise in cloud engineering (e.g., AWS, Azure); experience with infrastructure‑as‑code is a plus, and deploying CI/CD pipelines is a must.
• Strong problem‑solving skills.
• 5 years of experience in creating and maintaining data pipelines.
• Experience handling scientific datasets for cheminformatics or bioinformatics (e.g., microbiome) is a plus.
• Experience with FAIR data principles, data governance, and data standards commonly used in scientific domains.
• Ability to collaborate closely with data experts and SMEs to ensure seamless data integration and transformation.
• Consistent application of best practices in coding, testing and documentation, delivering scalable and reliable data solutions with automated quality checks and monitoring tools.
• Curiosity and a growth mindset, always asking “Is there a better way?” to leverage data for smarter decision‑making.
• Strong focus on deployment development and automation, bringing hands‑on experience in designing, building and optimizing automated deployment pipelines across environments.
• While the role is technically oriented, leadership in team management, project oversight, and stakeholder engagement is a critical part of the position.

About dsm-firmenich

At dsm-firmenich, we don’t just meet expectations – we go beyond them.

Join our global team powered by science, creativity, and a shared purpose: to bring progress to life.

From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions – every single day. Whether it’s fragrance that helps you focus, alternative meat that’s better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere.

And while you’re making a difference, we’ll make sure you’re growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They’re essential to our future.

Because real progress only happens when we go beyond, together.

Inclusion, belonging and equal opportunity statement

At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work – and that’s exactly the kind of culture we’re building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong.

We’re proud to be an equal opportunity employer, and we’re serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we’re committed to reflecting the world we serve.

We welcome candidates from all backgrounds — no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you.

And if you have a disability or need any support through the application process, we’re here to help – just let us know what you need, and we’ll do everything we can to make it work.