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Data Engineer
1 month ago
At Haleon, we're shaping a new world-leading consumer health company. We're committed to improving everyday health for billions of people. Our team is built on deep human understanding and trusted science, with a unique combination of expertise in data and analytics. If you're a skilled engineer with experience in the latest data platform technologies, we encourage you to apply.
About the Role
As a Data Engineer on our Enterprise Data & Analytics Platform team, you'll be working on complex projects with a high-performing team fully committed to employee growth and development. Your expertise will help us build and deploy data solutions that drive business growth and improve customer experiences.
Key Responsibilities
- Develop and deliver code from origin to production, integrating components, designing frameworks, and building reusable data solutions.
- Collaborate with cross-functional teams to ensure alignment with business objectives and technology strategies.
- Design and implement data architectures that meet business needs, ensuring data quality, scalability, and security.
- Stay up-to-date with industry developments and advancements in analytics, identifying opportunities to leverage new technologies and improve existing solutions.
- Maintain governance and risk management frameworks, ensuring compliance with global regulatory requirements.
- Develop and maintain productive working relationships with suppliers and specialist technology providers to assemble and maintain a distinctive and flexible mix of capabilities.
Requirements
- 5-8 years of experience in data engineering, with a strong background in Python, SQL, Scala, and other relevant languages.
- Experience with the Azure data and analytics stack, including Databricks, Data Factory, SQL DW, Cosmos DB, Power BI, and Power Apps.
- Proven track record of integrating and supporting enterprise data tools, such as Ataccama, Talend, Collibra, Snowflake, and StreamSets.
- Deep understanding of big-data processing approaches and schema-on-read methodologies, with experience applying them to solve data science and machine learning business problems.
- Experience with Agile delivery frameworks and tools, such as SAFe, Jira, Confluence, and Azure DevOps.
- Ability to communicate complex technical concepts to non-technical stakeholders at all levels.
- Strong communication and interpersonal skills, with the ability to work effectively in a team environment.
We're an equal opportunities employer, committed to diversity and inclusion. If you're passionate about data engineering and want to be part of a collaborative and innovative team, we encourage you to apply.
