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Description:
Xiatech is seeking a Data Engineer to join their fast-growing UK-based organization.
The role involves contributing to the design, implementation, and architecture of the Xfuze Hyper-Integration Platform.
Responsibilities include expanding and optimizing data and pipeline landscapes, optimizing data collection and flow, and ensuring consistent data delivery architecture.
The Data Engineer will collaborate with Software Developers, Data Engineers, and Data Analysts on data initiatives.
Key responsibilities include developing data models, pipelines, and workflows, migrating legacy data infrastructure, and ensuring data quality and best practices.
The role requires deploying production-ready code, implementing monitoring and cost management, and maintaining technical/data documentation.
Requirements:
5+ years of work experience in data engineering with expertise in Data Modelling.
2+ years of work experience with Azure, including Data Factory and Synapse.
Proficiency in SQL, Python, C, including Spark, and experience with Databricks.
Essential experience with Apache PySpark and familiarity with modern DevOps practices.
Exposure to data architecture, security, modeling, cataloging, and life cycle management.
Skills in SQL, stored procedures on MS SQL Server, and experience in GCP and/or AWS.
Benefits:
Opportunity to work with cutting-edge technology and collaborate with industry experts.
Remote work flexibility for a better work-life balance.
Chance to make a significant impact for clients through data-driven solutions.
Competitive salary and benefits package.
Opportunity for professional growth and development within a dynamic team environment.