Sr Manager Data & AI Data Engineering Lead

 

Barcelona, Spain or Hyderabad, India

 

Role Overview

We are seeking an experienced and hands-on Lead for our Data Engineering Team to oversee the design, implementation, and optimization of data pipelines supporting business reporting and data science needs. The ideal candidate will ensure that data engineering standards and best practices are consistently followed and will foster close collaboration between data engineers and data modelers to deploy robust, reusable, and high-quality data solutions.

 

Your Key Responsibilities

• Lead and mentor a team of data engineers, ensuring adherence to industry standards and internal best-practices in data pipeline development.
• Oversee the implementation and maintenance of scalable, efficient, and reliable data pipelines for business reporting.
• Foster collaboration between engineers and data modelers to deploy modeled tables and ensure seamless integration between modeling and engineering efforts.
• Promote the development of reusable code and modular data solutions to increase team productivity and maintainability.
• Ensure the team is proficient in and actively using dbt (data build tool) for transformation workflows.
• Guide the team in optimizing Databricks compute resources for performance and cost-efficiency.
• Conduct regular code reviews and provide technical guidance to uphold quality and consistency.

 

We offer:

• Enterprise-wide influence – Shape the design and structure of data models that underpin reporting and AI solutions across all business units, ensuring data consistency and high impact.
• Innovation with purpose – Develop and implement advanced data modeling techniques that enable the creation of meaningful AI models and BI tools to address real business challenges.
• A collaborative ecosystem – Work alongside digital partners, business leaders, and external experts to deliver unified, trusted data models that support cohesive analytics.
• A culture of trust and ethics – Lead the development of data models with integrity, ensuring all solutions adhere to the highest standards of fairness, transparency, and compliance.

 

You bring:

• Proven experience leading data engineering teams in a fast-paced, enterprise environment.
• Strong expertise in building and optimizing data pipelines using modern data engineering tools and frameworks.
• Hands-on experience with dbt and Databricks, including performance tuning and cost optimization.
• Solid understanding of data modeling concepts and experience working with data modelers.
• Excellent coding practices with a focus on reusability, scalability, and maintainability.
• Strong communication and interpersonal skills, with the ability to work effectively across functions.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

 

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 is 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,