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Sage
Senior Data Engineer
London
Hybrid
Visa sponsorship
Description
We are currently hiring a Principal Data Engineer to help us build machine learning solutions that will provide insights to empower businesses and help them succeed. As a part of our cross-functional team including data scientists and engineers you will help steer the direction of the entire company’s Data Science and Machine Learning effort. If you share our excitement for machine learning, value a culture of continuous improvement and learning and are excited about working with cutting edge technologies, apply today! You have: 4+ years of relevant practical experience working on data integration, data modelling and metadata management Database experience - you know how to write and optimize SQL queries, design efficient schemas for OLAP and OLTP and understand differences and tradeoffs between them Expert knowledge and experience with several relevant languages, tools and frameworks: e.g. Python, SQL, Scala, Spark, Beam, Hadoop, Kafka, RabitMQ, Athena, Amazon EMR etc Excellent written and verbal communication skills, and ability to evaluate and explain technical details clearly Experience in building large scale ETL/ELT processes, datalakes and data warehouses Willingness to adapt to significant changes in either technology or environment Previous experience working with financial data is a plusKey Responsibilities You will: Work closely with our Data Scientists and ML engineers to build data warehouses and pipelines Collaborate with our AI Infrastructure team to extend the capabilities of our machine learning platform Monitor and optimize the quality and performance of our data pipelines and tools Collaborate with other teams to integrate new data sources, ensuring privacy and security protocols are followed Collaborate with data scientists and ML engineers to design and build data analytics tools for detecting data anomalies and ensuring data quality
Role tech stack
Sage
Senior Data Engineer
London
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