Job Overview The position of Principal Data Engineer at eTeam offers an exciting opportunity for seasoned professionals in the data engineering field. This full-time role is based in the United Kingdom and is primarily designed to be executed remotely. The job entails enhancing and developing data platforms to support Generative AI (GenAI) initiatives, which aim to utilize innovative data solutions across various business functions. The employment term is expected to commence with a duration of 6 months and has the potential for extension up to 12 months. ## Role Requirements As a principal data engineer, the job seeker will be expected to have several qualifications that emphasize experience in cloud-based data engineering. Specifically, candidates should possess a minimum of 8 years of professional experience in the domain, highlighting a strong familiarity with AWS services. A proven history of leading engineering teams and developing enterprise-grade data solutions at scale is crucial. It is essential for candidates to demonstrate proficiency in Python development, showcasing their ability to contribute significantly to the coding and development efforts. Further, good candidates should be well-versed in data architecture and engineering patterns, relational databases, and vector stores to effectively design and implement the required data infrastructures. Additionally, substantial experience with containerization technologies and AWS ECS is needed to address the complexities of the task effectively. Candidates are expected to maintain high standards of coding, practicing clean code principles and ensuring reliability alongside performance in their outputs. ## Preferred Skills Beyond the minimum requirements, successful applicants should demonstrate skills such as: - A driven attitude towards execution and output orientation. - Confidence in addressing challenges independently, especially in high-pressure environments. - Familiarity with Generative AI and machine learning concepts. - Kedro framework experience offers an added advantage. - A good familiarity with agile methodologies and product development practices. Strong problem-solving skills and an excellent capacity for collaboration within cross-functional teams will be pivotal in defining project requirements, prioritizing tasks, and ensuring the successful delivery of data solutions. Effective communication abilities will assist in collaborating with product managers, data scientists, and other team members involved in the initiative. ## Key Responsibilities The primary aspects of this role include: - Making critical technical design decisions that will shape the data infrastructure to support GenAI applications. - Mentoring junior data engineering team members to facilitate their personal and professional development. - Improving the engineering team structure to enhance delivery and impact efficacy. - Ensuring that all code contributions comply with high standards of quality and performance. - Leading various workstreams related to data infrastructure and engineering practices, enabling data processing capabilities, and supporting GenAI initiatives focused on practical applications. ## Work Environment The working context for this role is a global team, primarily focused on the GenAI initiative. The function of the Tech Ecosystem team is to pioneer and provide technology solutions aimed for internal utilization across the organization. The employees will engage in an ambitious cloud-first approach, emphasizing the transformation of analytical applications available throughout the firm. Collaborative work will be integral since team members will be collaborating with digital product professionals and other engineers to drive significant advances in the company's technological capacities. ## Conclusion Through this Principal Data Engineer role, job seekers will have a unique opportunity to be on the frontlines of a cloud-first transformation that carries firm-wide implications. The ideal candidate will not only oversee significant technical projects but also contribute to shaping a innovative future for the enterprise, leveraging data engineering's full potential. This position not only caters to those with extensive experience but also presents a chance for professional growth and leadership in a collaborative setting focused on cutting-edge technology.
This job offer was originally published on jooble.com
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