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Azure Data Engineer

gsknch · Bengaluru Campus 31
// classified as
Other (Adjacent or hard to classify.)
posted
<1d ago
location
Bengaluru Campus 31
languages
python, sql
tools
azure, databricks, delta
> stack
pythonsqlazuredatabricksdeltaspark
> description

Welcome to Haleon. We’re a purpose-driven, world-class consumer company putting everyday health in the hands of millions. In just three years since our launch, we’ve grown, evolved and are now entering an exciting new chapter – one filled with bold ambitions and enormous opportunity.

Our trusted portfolio of brands – including Sensodyne®, Panadol®, Advil®, Voltaren®, Theraflu®, Otrivin®, and Centrum® – lead in resilient and growing categories. What sets us apart is our unique blend of deep human understanding and trusted science.

Now it’s time to fully realise the full potential of our business and our people. We do this through our Win as One strategy. It puts our purpose – to deliver better everyday health with humanity – at the heart of everything we do. It unites us, inspires us, and challenges us to be better every day, driven by our agile, performance-focused culture.

About the role

You will be working on the latest data platform technologies, and a part of a high-performing team fully committed to employee growth and development. If you’re a skilled engineer who wants to build using the latest technology and acquire new skills in data and analytics, then come join our team.

You will be integrating components, designing frameworks, and building reusable data solutions for Haleon’s Enterprise Data & Analytics Platform. You will enable faster acquisition, ingestion, and curation of analytical-ready datasets.

This is very hands-on development role which includes developing & delivering code through from origin to production, plus working in partnership with 3rd party development service providers to help ensure that code comes in on time, to quality and in line with the overall ecosystem being established.

The Data Engineer will directly contribute to the extensive and varied build and deployment activities involved in establishing the new platform then continue to work on the already significant and growing pipeline of future buildouts of platform services on the Enterprise Data & Analytics Platform.

Key responsibilities

Development

  • Hands on, sleeves up development and delivery expected as a matter of course.  

Delivery

  • Ensure project goals are achieved on time in alignment with the stakeholders’ expectation.

  • Ability to work on complex projects and in a distributed environment.

  • Escalate when necessary and in a timely manner.

  • Work in close collaboration with other team members in the Enterprise Data & Analytics Platform team, to ensure Development/Delivery aspects are well represented in the project’s requirements and deliverables. 

Methodology

  • Incorporate agile ways of working into the delivery process utilising Agile Scrum methodology.

  • Individuals will work as part of product-centric delivery team(s) that will focus on delivering value independently while fully embracing integrated DevOps approaches. 

Ownership

  • Take ownership for the delivery/development projects and help steer until completion

Governance

  • Maintain governance that allows projects and stakeholders to manage overall project performance and manage programme risks within the global nature of some of the programmes. 

Forward looking:

  • Remain flexible towards technology approaches to ensure we are taking advantage of new technologies. 

  • Keep abreast of industry developments in analytics and be able to interpret how these would impact services and present new opportunities. 

Quality, Risk & Compliance:

  • Ensure all risk and issues associated with owned projects are recorded and managed in the appropriate Risk & Issue logs in a timely manner.

  • Ensure all Risks and Issues have clear action/mitigation/contingency plans defined, with named action owners and timelines for completion. 

Technical Architecture

  • Be conversant with technical architecture to contribute to design discussions in partnership with the Delivery/Development Lead and dedicated Analytics & Data Architect. 

Qualifications and skills

Essential

  • MTech/BTech degree in Computer Science, Engineering, Data Science or equivalent experience, with preference on experience and proven track record. Ideal candidate would have an impressive hands-on work history in an advanced, recognized, and innovative environment.   

  • Data engineering experience and seasoned coder in the relevant languages: Python, Py-spark, SQL etc.  

  • Experience with the Azure data and analytics stack: Databricks, Data Factory, SQL DW, Cosmos DB, Power Apps, etc. 

  • Experience integrating and supporting a variety of enterprise data tools: Databricks Unity Catalog, Azure Purview, StreamSets, Use of Agentic AI tools for data platforms etc.

  • Fully conversant with big-data processing approaches and “schema-on-read” methodologies. Preference for deep understanding of Spark, Databricks and Delta Lake, and applying them to solve data science and machine learning business problems. 

  • Experience with Agile delivery frameworks and tools: SAFe, Jira, Confluence, Azure DevOps, etc.

  • Experience with visualization tools and their application: developing reports, dashboards and KPI scorecards. 

  • Familiar deploying enterprise analytics solutions at scale with applicable services: administration, qualification, and user access provisioning.  

  • Experience articulating business value of analytics projects and progressing solutions from MVP to scaled-up production solutions.

  • Ability to work in close partnership with groups across the IT organization (security, compliance, infrastructure, etc.) and business stakeholders in the commercial organizations.  

  • Ability to develop and maintain productive working relationships with suppliers and specialist technology providers to assemble and maintain a distinctive and flexible mix of capabilities against future requirements.  

  • Ideal candidate possesses great communication skills and the ability to communicate inherently complicated technical concepts to non-technical stakeholders of all levels.

 

 

 

 Job Posting End Date

 

 

2026-05-31

 

 

 

Equal Opportunities

Haleon are committed to mobilising our purpose in a way that represents the diverse consumers and communities who rely on our brands every day. It guides us in creating an inclusive culture, where different backgrounds and views are valued and respected – all in support of understanding and best serving the needs of our consumers and unleashing the full potential of our people. It’s important to us that Haleon is a place where all our employees feel they truly belong.

During the application process, we may ask you to share some personal information, which is entirely voluntary. This information ensures we meet certain regulatory and reporting obligations and supports the development, refinement, and execution of our inclusion and belonging programmes that are open to all Haleon employees. 

The personal information you provide will be kept confidential, used only for legitimate business purposes, and will never be used in making any employment decisions, including hiring decisions.

 

 

 

Adjustment or Accommodations Request

If you require a reasonable adjustment or accommodation or other assistance to apply for a job at Haleon at any stage of the application process, please let your recruiter know by providing them with a description of specific adjustments you are requesting. We’ll provide all reasonable adjustments to support you throughout the recruitment process and treat all information you provide us in confidence. 

 

 

 

Note to candidates

The Haleon recruitment team will contact you using a Haleon email account (@haleon.com). If you are not sure whether the email you received is from Haleon, please get in touch.

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