Senior Data Platform Engineer

Nouryon; Navi Mumbai; On-site; INR 1,200,000 - 1,600,000; Full time

Job summary

A leading global chemical company seeks an Azure Data Engineer in Navi Mumbai to work on modern Data Warehousing and Business Intelligence solutions. The position demands building end-to-end data pipelines, designing efficient data models, and implementing CI/CD practices. Candidates should possess a Bachelor’s or Master’s degree, along with 5-7 years of experience in Data Engineering, particularly with Azure platforms. Join a dynamic and diverse team committed to sustainable innovation.

Qualifications

• 5–7 years hands-on Data Engineering experience focusing on Azure data platforms.
• Proficient in SQL, including stored procedures and performance tuning.
• Experience with Azure DevOps CI/CD for automated data pipelines.

Responsibilities

• Build and maintain end-to-end data pipelines using Azure Data Factory.
• Design efficient data warehouse and BI models for analytics and reporting.
• Implement Azure DevOps CI/CD for reliable data pipeline delivery.

Skills

SQL (advanced)

Azure DevOps CI/CD

Data warehousing & data modelling

Python

C#

Education

Bachelor’s/ Master’s degree in computer science or related field

Tools

Microsoft Fabric

Power BI

Job description

At Nouryon, our global team of Changemakers takes positive action every day, to reach higher goals collectively and individually. We create innovative and sustainable solutions for our customers to answer society’s needs – today and in the future.

Purpose of the Job

As an Azure Data Engineer at Nouryon, you will work with heterogeneous data sources and deliver modern Data Warehousing (DW) and Business Intelligence (BI) solutions on Microsoft Azure. You’ll collaborate with product owners, application teams, and data scientists in an agile environment to deliver data-driven outcomes, support operational excellence (monitoring, incidents and changes), and enable the adoption of modern platforms and practices. Design, build, and operate secure, reliable, and scalable Azure data solutions that power analytics and decision-making across Nouryon. You will own the full lifecycle of enterprise data pipelines—from ingestion and modelling through deployment and operations—while driving best practices in quality, performance, and DevOps.

About the job (Job Responsibilities)

• Engineer & Orchestrate: Build and maintain end-to-end data pipelines using Azure Data Factory (ETL/ELT), integrating diverse on-prem and cloud sources into Azure Data Lake Storage (ADLS Gen2) and curated data models.
• Model & Optimize: Design efficient DW/BI models (star/snowflake) and write advanced SQL (including performance tuning and stored procedures) to support analytics and reporting.
• Automate Delivery: Implement and maintain Azure DevOps CI/CD (YAML) for data pipelines, infrastructure-as-code, automated testing, and controlled releases across environments.
• Operate with Excellence: Monitor pipeline health and data quality, manage schedules and dependencies, and handle change and incident management with root‑cause analysis and service restoration.
• Documentation & Design: Produce solution architecture, data flow diagrams, runbooks, and user documentation that support sustainable operations and knowledge sharing.
• Partner for Insights: Collaborate with business stakeholders and BI teams to enable governed self‑service; work with data scientists to enable and operationalize AI/ML scoring pipelines where needed.
• Continuously Improve: Drive improvements in cost, performance, observability, and automation; contribute to the adoption of modern capabilities (e.g., Microsoft Fabric and enhanced governance).
• End-to-end ownership of development, proactive monitoring, change management, and incident management.
• Agile delivery mindset, with a focus on incremental value, documentation, and continuous improvement.
• Commitment to data quality, compliance, security, and governance standards.

We believe you bring (Education & Experience)

• Bachelor’s/ master’s degree in computer science, Software Engineering, or a related field.
• Experience: 5–7 years of hands‑on Data Engineering with a strong focus on Azure data platforms.

Core skills (must‑have)

• SQL (advanced), stored procedures, and performance tuning.
• Azure DevOps CI/CD (pipelines as code, approvals, environment promotion).
• Data warehousing & data modelling (star/snowflake).
• Secondary skills: Python, C# (for data processing, automation, or integration tooling).

Good to have:

• Experience with Microsoft Fabric (OneLake, Data Engineering, Data Factory in Fabric)
• Power BI exposure (datasets/semantic models, RLS, refresh)
• Exposure to AI/ML workloads (feature pipelines, batch/real‑time scoring, basic model ops)
• Proven experience working in a data‑centric and/or complex B2B enterprise environment; manufacturing/chemical industry exposure is preferred.

Please apply via our online recruitment system. We will not accept applications via e‑mail. Once it's with us we will review to see if we have a match between your skills and the role! For more information about our hiring process, visit: nouryon.com/careers/how-we-hire/

We look forward to receiving your application!

We kindly ask our internal candidates to apply with your Nouryon email via Success Factors.

We’re looking for tomorrow’s Changemakers, today.

If you’re looking for your next career move, apply today and join Nouryon’s worldwide team of Changemakers in providing essential solutions that our customers use to manufacture everyday products such as personal care, cleaning, paints and coatings, agriculture and food, pharmaceuticals, and building products. Our employees are driven by the wish to make an impact and actively drive positive change. If that describes you, we will gladly make way for your ambitions. From day one we support you with your personal growth, through challenging positions and comprehensive learning and development opportunities, in a dynamic, international, diverse, and proactive working environment.

Visit our website and follow us on LinkedIn.