Data Engineer

Hello. We re Haleon. A new world-leading consumer health company. Shaped by all who join us. Together, we re improving everyday health for billions of people. By growing and innovating our global portfolio of category-leading brands - including Sensodyne, Panadol, Advil, Voltaren, Theraflu, Otrivin, and Centrum - through a unique combination of deep human understanding and trusted science. What s more, we re achieving it in a company that we re in control of. In an environment that we re co-creating. And a culture that s uniquely ours. Care to join us. It isn t a question.

With category leading brands such as Sensodyne, Voltaren and Centrum, built on trusted science and human understanding, and combined with our passion, knowledge and expertise, we re uniquely placed to do this and to grow a strong, successful business.

This is an exciting time to join us and help shape the future. It s an opportunity to be part of something special.

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

Delivery

Methodology

Ownership

Governance

Forward looking:

Quality, Risk Compliance:

Technical Architecture

Qualifications and skills

Essential

MS/BS 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.

5 to 8 Years Data engineering experience and seasoned coder in the relevant languages: Python, SQL, Scala, etc.

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

Experience integrating and supporting a variety of enterprise data tools: Ataccama, Talend, Collibra, Snowflake, StreamSets, 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.