At Sport Alliance, we empower the fitness world with intelligent data solutions, and we're looking for a talented Data Engineer to be a crucial part of this journey. You'll contribute to a high-impact, visible role with direct influence on our product roadmap and strategic objectives. We offer a collaborative, innovative culture where your ideas are valued and continuous learning is encouraged.
Your position in our teamDesign, develop, and optimize cloud-native data pipelines and ETL/ELT processes using AWS services and own the underlying infrastructureBe responsible for data models that support various analytical and operational needs for thousands of gyms with more than 10 mio membersCollaborate closely within the Data Team, and other engineering teams to translate complex business challenges into innovative, data-driven solutionsDriven data excellence and integrity across all stages of the data lifecycle by enforcing data governance best practices ensuring data reliability and trustworthinessContinuously learn, evaluate, integrate or further develop new cutting-edge data technologies (e.g. streaming databases, data mesh) to maintain our competitive edgeYour profile3+ years of hands-on experience in data engineering, with focus on Data WarehousingA deep understanding of data architecture principlesProficiency in Python and its relevant data engineering with extensive experience in working with cloud platforms (e.g. AWS, Azure, GC)Solid command of both relational (e.g. Postgres) and non-relational (e. g. MongoDB, Dynamo DB) database systemsProven analytical and problem-solving skills with a proven ability to debug complex data issues and implement robust solutionsOutstanding written and verbal communication skills in EnglishFamiliarity with common data services like e.g. DBT, Redshift Spark, EMR