Description
Data EngineerDuration = 6 Months with likelihood of extending to 12Location = UK (Remote)Who you'll work withYou’ll be a member of a global team working on GenAI initiative. Companies Tech Ecosystem function is responsible for developing and delivering all technology solutions for the firm’s internal use. We are taking a cloud-first approach to transform our data platforms and analytical applications across the firm. We are seeking an experienced data engineer to shape and accelerate the delivery of target state data platform enabling GenAI use-cases. We want a passionate specialist who loves to build data solutions as part of multi-disciplinary team, working closely with digital product professionals, data scientists, cloud engineers and others.Your impact within our firm We are looking for a Data Engineer with expertise in Python development, who is passionate about cloud- based data engineering using AWS services and loves to build data solutions as part of multi-disciplinary team. You would be working closely with digital product professionals, data scientists, cloud engineers and others. You’ll be a member of a global team working on GenAI initiative, based in one of our European offices. Our McKinsey’s Tech Ecosystem function is responsible for developing and delivering all technology solutions for the firm’s internal use. You will work in a team of data engineers to develop data ingestion pipelines, create and mature data processing capabilities that ingest data into a data system used by GenAI applications. Your work would include but won't be limited to creation of the python code, tests, creation and modification of GitHub Action CICD pipelines, working with AWS-based infrastructure and docker containers.What you'll doYou will work in a team of data engineers to develop data ingestion pipelines, create and mature data processing capabilities that ingest data into a data system used by GenAI applications. Work includes but not limited to creation of the python code, tests, creation and modification of GitHub Action CICD pipelines, working with AWS-based infrastructure and docker containersSkills3+ years of professional experience as a data engineer, with a strong focus on cloud- based data engineering using AWS servicesExpertise with Python developmentPracticing high coding standards with clean code, modularity, error handling, testing automation and moreStrong experience with relational databasesVery driven, superstrong on execution and output orientation, likes to get job done attitude and ability to figure things out independently. Able to work in complex and very fast paced environmentHands-on experience with DockerSolid and demonstrable background in data pipeline performance and diagnosticsInterest in Generative AI and other ML topicsKedro framework experience as a plusHolds their ground, opinionated, not afraid to speak up at any levelFamiliarity with agile principles and product developmentExcellent problem-solving skills and the ability to analyze and resolve complex data engineering challengesStrong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment