Azure Data Engineering Manager

Bangalore Permanent
  • Join a business empowering people with data & technology
  • Be part of and exciting and evolving Data & Analytics journey

About Our Client

Unilever, for almost a century now, has been involved in designing products and innovations which have transformed people's lives and help them feel good, look good and experience more out of life. As a predominant fast-moving consumer goods organization, Unilever has its operations extended all over the globe.

Within Unilever, Unilever Operations (UniOps) team is a global team tasked with the mission of bringing Unilever's compass strategy of 'doubling the business and reducing environmental footprint to half' to life. Unilever Operations brings together the synergy between services, technology, information & analytics to improve effectiveness of employees, drive efficiency and generate sustainable growth.

With a fast changing, complex, highly competitive and a dynamic environment which Unilever operates in, data is key, however, what differentiates Unilever from its competition is the Data & Analytics (D&A) Team which ensures information which is right and available at the right moment to enable quick and accurate business decision making thus making sense of the data footprint a company like Unilever creates. D&A is one of the UniOps service lines whose focus area is to fundamentally change how we deliver business information at Unilever and is primarily driven to turn complexity to simplicity to grow the business with smarter decisions. At D&A, we create information intelligence solutions which enable our customers to taste success by ensuring long term sustainable growth and profitability.

Data & Analytics is a team of enthusiastic and bright people who enable quicker & smarter business decisions while ensuring a delightful user experience across the enterprise. Placed Centrally, D&A Champions have access to a pool of talented data experts spread across sixcontinents and work with our partners, functions, categories, and geographies to harmonize decision-making and deliver technology solutions to drive business insight. The D&A Data Engineering and Architecture team in Bangalore, is the engine behind the goal of making Data Engineering and Architecture knowledge a common practice. This team is responsible for ensuring Unilever Data Lake is modelled as per industry best standards. The services from this team are consumed by the Data SMEs, Product teams, various data factories
for products rollout and the Data Governance team. We are looking at enthusiastic and bright candidates to become a part of this team and work closely with our partners and stakeholders to deliver high level analytical capabilities.

Job Description

Key responsibilities of the role include:

  • Spearhead the discussion and collaboration with D&A Data Science team. Work under the guidance of the Data Engineering guides to ensure the ask of the data sciencecan be embedded into the data model of the Data Lake Model Data Quality assessment scenarios for not only showing the confidence in data but also, highlighting the areas for correction for quick correction Enable the ease of Data preparation and exploration. Collaborate with enterprise architects, data architects, ETL developers & engineers, data scientists and information designers to guide identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities.
  • Address aspects around ML model build prerequisites for product(s), whilst incorporating the necessary activities required to be done by Data Engineers for sustainable future work.
  • Participate in deep architectural discussions to build confidence while building new solutions and migrating existing data applications on the Azure platform. Optimize data integration platform to provide optimal performance under increasing data volumes.
  • Create training contents wherever relevant Support the data architecture and data governance function to continually expand their capabilities guide creation of design patterns for effective Data Engineering Practices across functions involving data science workloads Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools.
  • Work with business and application/solution teams to implement data strategies, build of data flows Work proactively and independently to address project requirements and articulate issues/difficulties to reduce project delivery risks.

Key Accountabilities:

  • Development of the Data Preparation Frameworks with best practice available in the market Development of solution which will enable "Model Ready Data" framework. Development of Data Solutions in alignment with the Data Security and Data Governance rules in various Markets (Countries) Development of Data Quality framework using advanced Machine Learning & Engineering techniques.
  • Develop a very good understanding of Unilever Data & Analytics Strategy and ensure alignment of team's priorities to the strategy.
  • Develop execution plan to enable future fit skills by training on Data Engineering postulates Work closely with the D&A Markets, functions, Business teams, Geo IT and any spoke teams when it comes to Data Engineering requirements.
  • Build and manage relationship with stakeholders within D&A and Business Drive operational excellence within the team Ensure adherence to SLA and drive user satisfaction Mentor team on continuous improvement which will includes Improved ways of working between engagement, tracking, Simplification and Standardization Design thinking and Agile Scrum Approach.

The Successful Applicant

Experience and Qualifications Required:


  • 8 to 12 years of relevant experience in Data Science and Engineering Proficient in end-to-end Data Science Model development.
  • Working knowledge of Data Engineering tools and techniques Experience in developing data pipelines to transform, aggregate and or process data using
  • Azure Databricks platform Experience in creating data pipelines using Azure Data Factory, Polybase and U-SQL or related tools on other cloud platform Experience of Working with Senior Business Stakeholders.

Ideal candidates would preferably have a master's or bachelor's degree in Computer Science

Key Interfaces:
Data & Analytics Data CoE Management Team
* Data & Analytics Hub & Spoke teams
* Data & Analytics Engagement Teams
* Global, Regional and Local Functional stakeholders.
* Regional and MCO contacts/stakeholders.
* 3rd party service providers

What's on Offer

What do we offer:
From our foundation, Unilever has been a purpose-driven company. Today, our purpose is to make sustainable living commonplace. We are working to create a brighter future every day with brands and services that help people feel good, look good and get more out of life. That includes us - the people who work for Unilever, as well as the world around us. Unilever's flexible rewards and benefits are designed to help us all have sustainable households, for whatever life stage you are at now and in the future.These include Great work environment Flexible work environment built on trust and freedom Pension scheme Employee Assistance Program for you and your family Well-being hub with access to benefits such as Healthcare, eye tests, health checks, occupational physio. Whilst the role is advertised on a full-time basis, we would be happy to discuss possible flexible working options and what this may look like for you. We are a key advocate of well-being and offer a variety of support for our people including hubs, programs, and development opportunities. We strive to achieve a family-friendly and inclusive workplace and to, above all, create possibilities for all. And last but certainly not least - the chance to be a part of a dynamic team with the backing of the globally renowned Unilever brand.

Our commitment to Equality, Diversity & Inclusion:
Diversity at Unilever is about inclusion, embracing differences, creating possibilities, and growing together for better business performance. We embrace diversity in our workforce. This means giving full and fair consideration to all applicants and continuing the development of all employees regardless of age, disability, gender reassignment, race, religion or belief, gender sexual orientation, marriage and civil partnership, and pregnancy and maternity.

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Job summary

Sub Sector
Big Data
What is your area of specialisation?
FMCG (Fast Moving Consumer Goods)
Job Type
Job Reference

Diversity & Inclusion at Michael Page

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