Commercial - Data & AI Engineering

1351 Opella Healthcare IN P.Ltd; Hyderabad; On-site; INR 2,800,000 - 4,500,000; Full time

Job summary

Opella is hiring a Commercial Analytics Data & AI Engineer in Hyderabad to design, build and evolve data products powering Commercial Analytics across Sales, Marketing and Commercial Excellence. You will collaborate with product leads, data scientists and business stakeholders to deliver trusted data and analytics at scale.

Join a fast-moving team focused on high-quality data solutions, cloud-enabled pipelines and AI/ML initiatives while aligning with FMCH/FMCG domain processes and reporting

Qualifications

• 6-10 years of experience in Data Engineering, Analytics Engineering or Cloud Data Platforms.
• Strong experience with DBT with Snowflake or Databricks.
• Familiarity with DevOps and DataOps practices including Git, CI/CD, orchestration, observability, and infrastructure‑as‑code.
• Experience building data pipelines and semantic models for reporting and analytics.
• Good understanding of commercial business processes within FMCH or FMCG, Consumer Healthcare or Retail environments.
• Familiarity with commercial datasets such as SAP Sales & Finance Salesforce CRM Customer Master Data IQVIA, Nielsen / Circana Perfect Store / Retail Execution Marketing Campaign Performance.
• Strong SQL and data modelling skills.
• Excellent collaboration and communication skills, with the ability to work across technical and business teams.

Responsibilities

• Develop and maintain integrations across multiple commercial data sources including SAP, CRM platforms, IQVIA, retail execution and external market data providers.
• Support harmonization of commercial master data to enable consistent reporting and analytics across markets.
• Understand commercial business processes to ensure data products accurately reflect business definitions and KPIs.
• Design, build and optimize scalable data pipelines using dbt, Snowflake, Databricks, Azure and upcoming cloud technologies, to support reporting, advanced analytics and AI/ML initiatives.
• Ensure data quality, performance, observability and reliability across commercial analytics products.
• Apply engineering best practices including DataOps, CI/CD, testing and version control.

Skills

Data Engineering

Cloud Data Platforms

SQL & Data Modelling

DevOps / DataOps

Collaboration

BI Tools (Power BI, Tableau)

ERP/CRM Integrations

Cross-functional Communication

Education

Bachelor’s degree in CS/IT or quantitative field

Tools

Snowflake

Databricks

dbt

Power BI/Tableau

Job description

Job title: Commercial - Data & AI Engineering Location: Hyderabad

Opella is the self-care challenger with the purest and third-largest portfolio in the Over-The-Counter (OTC) & Vitamins, Minerals & Supplements (VMS) market globally. Our mission is to bring health in people’s hands by making self-care as simple as it should be. For half a billion consumers worldwide – and counting. At the core of this mission is our 100 loved brands, our 11,000-strong global team, our 13 best-in-class manufacturing sites and 4 specialized science and innovation development centers. Headquartered in France, Opella is the proud maker of many of the world’s most loved brands, including Allegra, Buscopan, Doliprane, Dulcolax, Enterogermina, Essentiale and Mucosolvan. As a globally certified B Corp company, we are active players in the journey towards healthier people and planet. Find out more about our mission at www.opella.com.

About the job: As a Commercial Analytics Data & AI Engineer, you will play a key role in designing, building and evolving the data products that power Commercial Analytics across Opella. Working closely with Commercial Analytics Product Leads, Data Scientists, Data Engineers and business stakeholders, you will develop scalable and trusted data solutions that enable Sales, Marketing and Commercial Excellence teams to make better decisions through high-quality data and analytics. Beyond engineering excellence, you will gain a strong understanding of commercial business processes and data domains, ensuring that technical solutions effectively support business priorities and analytical use cases.

Main responsibilities:

• Develop and maintain integrations across multiple commercial data sources including SAP, CRM platforms, IQVIA, retail execution and external market data providers.


• Support harmonization of commercial master data to enable consistent reporting and analytics across markets.


• Understand commercial business processes to ensure data products accurately reflect business definitions and KPIs.


• Design, build and optimize scalable data pipelines using dbt, Snowflake, Databricks, Azure and upcoming cloud technologies, to support reporting, advanced analytics and AI/ML initiatives.


• Ensure data quality, performance, observability and reliability across commercial analytics products.


• Apply engineering best practices including DataOps, CI/CD, testing and version control.

Profile:

• 6-10 years of experience in Data Engineering, Analytics Engineering or Cloud Data Platforms.


• Strong experience with key cloud data ecosystems like DBT with Snowflake or Databricks.


• Strong familiarity with DevOps and DataOps practices including Git, CI/CD, orchestration, observability, and infrastructure‑as‑code.


• Experience building data pipelines and semantic models for reporting and analytics.


• Good understanding of commercial business processes within FMCH or FMCG, Consumer Healthcare or Retail environments.


• Familiarity with commercial datasets such as: SAP Sales & Finance Salesforce CRM Customer Master Data IQVIA, Nielsen / Circana Perfect Store / Retail Execution Marketing Campaign Performance.


• Strong SQL and data modelling skills.


• Excellent collaboration and communication skills, with the ability to work across technical and business teams.

Preferred Additional Skills:

• Strong enthusiasm for AI, ML, and modern automation tooling, with the ability to architect data platforms that support advanced analytics and machine learning workloads.


• Experience with Snowflake or Databricks.


• Familiarity with BI and analytics tools (e.g., Power BI, Tableau), with the ability to design semantic layers and data models optimized for analytics consumption.

Education Bachelor’s degree in computer science, Information Technology, or similar quantitative field of study.

Fluent in English Function effectively within teams of varied cultural backgrounds and expertise sources.

Why us?

At Opella, you will enjoy doing challenging, purposeful work, empowered to develop consumer brands with passion and creativity. This is your chance to grow new skills and be part of a bold, collaborative, and inclusive culture where people can thrive and be at their best every day.

We Are Challengers.

We are dedicated to making self-care as simple as it should be. That starts with our culture. We are challengers by nature, and this is how we do things: All In Together: We keep each other honest and have each other's backs. Courageous: We break boundaries and take thoughtful risks with creativity. Outcome-Obsessed: We are personally accountable, driving sustainable impact and results with integrity. Radically Simple: We strive to make things simple for us and simple for consumers, as it should be.

Join us on our mission. Health. In your hands. www.opella.com/en/careers

Opella is the self-care challenger with the purest and third-largest portfolio in the Over-The-Counter (OTC) & Vitamins, Minerals & Supplements (VMS) market globally. Our mission is to bring health in people’s hands by making self-care as simple as it should be. For half a billion consumers worldwide – and counting. At the core of this mission is our 100 loved brands, our 11,000-strong global team, our 13 best-in-class manufacturing sites and 4 specialized science and innovation development centers. Headquartered in France, Opella is the proud maker of many of the world’s most loved brands, including Allegra, Buscopan, Doliprane, Dulcolax, Enterogermina, Essentiale and Mucosolvan. B Corp certified in multiple markets, we are active players in the journey towards healthier people and planet. Find out more about our mission at www.opella.com.