Digital Factory Data Engineering Manager - Manufacturing, Quality & SHE
JOB TITLE: Digital Factory Data Engineering Manager – Manufacturing, Quality & SHE
LOCATION: UniOps Bangalore
Be part of the world’s most successful, purpose-led business. Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities around us. We promote innovation, big and small, to make our business win and grow; and we believe in business as a force for good. Unleash your curiosity, challenge ideas and disrupt processes; use your energy to make this happen. Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best. Every day, nine out of ten Indian households use our products to feel good, look good and get more out of life – giving us a unique opportunity to build a brighter future.
Every individual here can bring their purpose to life through their work. Join us and you’ll be surrounded by inspiring leaders and supportive peers. Among them, you’ll channel your purpose, bring fresh ideas to the table, and simply be you. As you work to make a real impact on the business and the world, we’ll work to help you become a better you.
Unilever Operations (UniOps) is the global technology and operations engine of Unilever offering business services, technology, and enterprise solutions. UniOps serves over 190 locations and through a network of specialized service lines and partners delivers insights and innovations, user experiences and end-to-end seamless delivery making Unilever Purpose Led and Future Fit.
Unilever is digitally rewiring its supply chain, focusing on generating real-time & democratized information, capitalizing on robotics, and building digitally connected factories. This change is focusing on (1) manufacturing & quality transformation in Unilever factories, (2) supporting a partnership ecosystem for Collaborative Manufacturers & Supply Partners, and (3) building capabilities for consumer insights.
The Supply Chain Transformation is expected to enable –
Improved agility and customer centricity across end-to-end manufacturing and supply chains through facilitation of faster recognition of customer preferences and feedback. This, in turn, will allow quicker adjustments to manufacturing flows at next-generation smart factories to allow higher levels of customization. A competitive edge through supply-chain resilience – thereby requiring connected, reconfigurable supply ecosystems. Speed and productivity through increased levels of automation and workforce augmentation coupled with upskilling and reskilling effort. Being cost-efficient and resource-efficient, to boost growth and support investment.
All this requires delivering competitive, volume driven growth, while supporting an increasing demand for agility and needs to be underpinned by sustainable cost reduction. And an operating model & practices that will enable technology to unlock this.
In addition, the Quality and Safety functions are horizontals that extend across the Unilever. They extend beyond the four walls of the factory into Supplier & Marketplace quality and Occupational Safety for the entire organization.
Purpose of the Role:
The Digital Manufacturing data engineering Manager will be responsible for overseeing the management and coordination of IT environments, including development, testing, staging, and production environments. You will play a critical role in ensuring the stability, availability, and integrity of our IT systems and environments throughout their lifecycle.
Key Accountabilities & Activities
Partner with domain leads and product owners to successfully execute data strategy and deliver data platform roadmap
Lead and mentor squads comprising of data engineers and data analysts to develop and deliver most efficient, reusable, and high-quality data engineering solutions
Influence overall data platform and product architectures
Collaborate with and across Agile teams to design and develop data engineering solutions by rapidly delivering value to our customers
Drive adoption of best practices and agreed upon design patterns across the Data Engineering team
Provide technical leadership and direction to ensure the engineering teams build distributed, low latency, reliable data pipelines ensuring the availability and timely delivery of data
Build expertise within the team in designing and developing high performing and highly optimized data engineering solutions for Big Data and Real-Time streaming workloads
Conduct periodic reviews of the deliverables to make sure the code is elegantly designed, efficiently coded, and effectively tuned for performance
Focus on data quality and consistency, implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
Focus on end-to-end automation of data engineering pipelines and data validations (audit, balance controls) without any manual intervention
Focus on data security and privacy by implementing proper access controls, key management, and encryption techniques.
Take a proactive approach in learning new technologies, stay on top of tech trends, experimenting with new tools & technologies and educate other team members.
Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
Communicate clearly and effectively to technical and non-technical leadership
8 to 10+ years of experience in Complex IT Space
5+ years if experience in a lead position leading and mentoring high performing Data Engineering teams
Experience in architecting, designing, and building Data Warehouses/Data Platforms on Azure Data Lake/SQL/Synapse Platform.
Extensive experience working with batch, hybrid and real-time data processing solutions
Experience working with data acquisition and transformation tools such as Stream Analytics, Hive, Nifi.
Experience building highly optimized & efficient data engineering pipelines using Python, PySpark .
Experience working with distributed data processing frameworks.
Experience working with real-time data streams processing using Steam Analytics.
Experience working with various Azure Services (Blob, VM, Azure HDinsight, Azure Functions, Cosmos, Azure SQL/Synapse, AKS, ADF)
Expertise in Advanced SQL programming and SQL Performance Tuning
Experience with version control tools such as GitHub or Azure Devops.
Expert level understanding of dimensional modelling techniques
Excellent communication, adaptability, and collaboration skills
Excellent analytical skills, strong attention to detail with emphasis on accuracy, consistency, and quality
Strong logical and problem-solving skills with critical thinking
Experience in working with or leading geographically distributed teams.
Demonstrated ability to communicate complex technical information in a condensed manner to various stakeholders verbally and in writing.
Strong organizational skills, including an ability to perform under pressure and manage multiple priorities with competing demands for resources.
Understanding of Supply Chain processes.
Certifications (Added value):
Experience in designing and building applications using Container and serverless technologies
Experience working with fully automated workflow scheduling and orchestration services such as Apache Airflow
Experience working with semi-structured, unstructured data, No SQL databases
Experience with CI/CD using Azure Devops
Experience designing and building APIs
Experience working with low-code, no-code platforms
At HUL, we believe that every individual irrespective of their race, colour, religion, gender, sexual orientation, gender identity or expression, age, nationality, caste, disability or marital status can bring their purpose to life. So apply to us, to unleash your curiosity, challenge ideas and disrupt processes; use your energy to make the world a better place. As you work to make a real impact on the business and the world, we’ll work to help you become a better you!