Embark on an extraordinary journey with a dynamic and rapidly expanding pharmaceutical company that has entrusted us with finding their next growth hire. This pivotal role offers a thrilling opportunity to join a visionary organisation committed to setting new industry standards. By harnessing the power of data and building robust technical capabilities, they aim to differentiate themselves from competitors in remarkable ways. This exceptional company places significant importance on professional development, offering engaging projects that retain top talent. Be part of a team that is dedicated to revolutionising data interpretation in the pharmaceutical industry using cutting-edge technology. Together, you will rewrite the rules, redefine what’s possible, and shape the future of healthcare.
Responsibilities:
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Spearhead the design, development, and maintenance of our pharmaceutical data infrastructure, encompassing data pipelines, data warehouses, and data lakes, ensuring they align with industry best practices.
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Collaborate closely with data analysts, data scientists, and other stakeholders to understand their unique data requirements and translate them into robust technical solutions.
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Champion the implementation of best practices for data quality, data security, and data privacy to ensure compliance with industry regulations and standards.
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Monitor and proactively troubleshoot data pipelines, data warehouses, and data lakes, ensuring optimal performance and high availability for critical data operations.
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Provide technical guidance and mentorship to the team of data engineers, fostering their professional growth and enhancing their technical capabilities.
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Stay abreast of emerging technologies and tools in the pharmaceutical industry, continuously evaluating and incorporating them to enhance and improve our data infrastructure.
Requirements:
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An exceptional academic record, preferably in a STEM or computer science discipline, demonstrating your strong foundation in technical knowledge.
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A minimum of 5 years of hands-on experience in data engineering or a closely related field, showcasing your deep understanding of data engineering fundamentals and practices.
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Extensive expertise in designing and developing robust data pipelines, data warehouses, and data lakes.
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Proficiency in AWS cloud infrastructure, with a focus on services such as S3, Glue, and Lambda, enabling you to effectively leverage cloud-based solutions for data management and processing.
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A strong grasp of data modelling and schema design methodologies, ensuring data structures’ accuracy, efficiency, and scalability within a business context.
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Outstanding analytical and problem-solving skills, enabling you to tackle complex data challenges and derive actionable insights from large datasets.
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Demonstrated management and mentorship skills, showcasing your ability to guide and inspire a team of data engineers towards successful project outcomes.
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Excellent communication and collaboration skills, allowing you to effectively communicate technical concepts and collaborate with cross-functional stakeholders
Job Owner: p.horlock-brown
