Data Engineer - Python/ Scala

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Company
Pulse Recruit
Job location
London, UK
Salary
Undisclosed
Posted
Hosted by
Adzuna

Job details

Are you ready to make a meaningful impact in the healthcare sector? Pulse Recruit is partnering with a rapidly growing health-tech startup that is transforming the home healthcare landscape through technology. This company provides essential care, nursing, telehealth, and prescription services directly to individuals in their homes. With over 10,000 dedicated staff delivering healthcare services equivalent to 40 hospitals every day, this organisation is one of the fastest-growing businesses in Europe, achieving remarkable success in just a few short years About the Data Team As part of this pioneering organisation, the Data Team plays a vital role in leveraging data to enhance service delivery and improve health outcomes for users. We are currently seeking a Senior Data Engineer to join this dynamic team and contribute to their mission of optimising healthcare experiences. What You’ll Do Collaborate with software engineers and stakeholders to document and enhance data creation processes. Engineer comprehensive data pipelines that ensure quality and facilitate advanced analytics and machine learning applications. Lead data architecture decisions, articulating challenges and evaluating options in collaboration with peers. Implement best practices in data operations and site reliability for robust data management. Mentor and develop a data engineering team to effectively address evolving data needs. Drive initiatives to improve data accuracy, availability, granularity, and overall management capabilities. What You’ll Need Mastery of SQL with experience in cloud-based databases (e.g., BigQuery) and pipeline scheduling. 3 years of experience in modern BI technologies or open-source data frameworks. Proficiency in programming languages (e.g., Python, Scala) for efficient data architecture and processing. Demonstrated experience collaborating with diverse stakeholders to fulfil structured data needs. Familiarity with continuous delivery pipelines, automation scripts, and managing cloud infrastructure. Excellent communication and data modelling skills, particularly in dimensional modelling (e.g., Kimball). Proven ability to thrive in a fast-paced, autonomous environment.
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