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Join a dynamic team at a leading tech recruitment company as a Lead Data Engineer in Reading. This hybrid role involves managing a data engineering team, designing data infrastructures, and ensuring effective collaboration with various stakeholders. Ideal candidates will have extensive experience with data lakes, Microsoft Fabric, and excellent communication skills.
Direct message the job poster from Areti Group | B Corp
Join a Leading Growth business on its transformative journey to become the UK's most recommended businesses in their industry
Location: Reading – Hybrid
Role Overview:
As Lead Data Engineer , you will be part of the Corporate Data team, reporting directly to the Senior Leadership team. You will lead a small team of data engineers, overseeing the design, build, and maintenance of the infrastructure and systems that collect, store, and process corporate data for reporting and analysis.
Key Responsibilities:
• Lead and manage a team of data engineers.
• Design, build, and maintain data infrastructure and systems.
• Ensure effective use of Microsoft Fabric and Synapse analytics platform.
• Collaborate with various stakeholders, including Data and Systems owners, Data Analysts, Data Architects, Infrastructure Architects, and external suppliers.
Experience required
• Dynamic and hands-on leader who excels in managing and coaching a team.
• Thrives in a collaborative environment and adapts to changing priorities with ease.
• Excellent communication and presentation skills, capable of conveying complex ideas to both technical and non-technical stakeholders.
• Deep understanding of DataLake, Lakehouse, and Warehouse paradigms.
• Extensive experience in developing and maintaining data pipelines for ELT/ETL from various data sources, including databases, APIs, text files, and Parquet.
• Expert knowledge of the Microsoft Fabric Analytics Platform (Azure SQL, Synapse, PowerBI).
• Proficient in Python for data engineering tasks, including data ingestion from APIs, creation and management of Parquet files, and execution of ML models.
• Strong SQL skills, enabling support for Data Analysts with efficient and performant queries.
• Skilled in optimizing data ingestion and query performance for MSSQL or other RDBMS.
• Familiar with data processing frameworks such as Apache Spark.
• Highly analytical and tenacious in solving complex problems.
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