Azure Data Engineer - Data Lakes/Warehouse/Factory/Bricks

Posted 19 June by 4it Recruitment Ltd
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Azure Data Engineer - Data Bricks/Lakes/Factory/Warehouse

We are currently recruiting for a fantastic financial company based in Bradford, renowned for their innovative approach to data management and analytics. They're at the forefront of leveraging cutting-edge technologies to drive financial insights and business success.

We are seeking a talented Data Engineer to join their growing team. This role requires expertise in Microsoft SQL, Azure, Data Bricks, Data Lakes, Data Factories and Data Warehousing. The ideal candidate will thrive in a fast-paced environment, possess excellent problem-solving skills, and have a passion for data engineering. The role is based in the offices twice a month.

Key Responsibilities

  • Develop, maintain, and optimize data pipelines and workflows.
  • Act as the lead in reviewing code and maintaining coding standards.
  • Collaborate with cross-functional teams to gather and analyze data requirements.
  • Design and implement data solutions in alignment with business objectives.
  • Ensure data quality, integrity, and security across all systems.
  • Provide technical guidance and mentorship to junior team members.

Requirements

  • Extensive experience with Microsoft SQL, Python, Data Bricks, Data Lakes, and Data Warehousing.
  • Proficiency in Agile methodologies and experience with DevOps.
  • Familiarity with Azure Data Factory is a plus.
  • Strong understanding of ETL/ELT processes and best practices.
  • Excellent communication and interpersonal skills.

Benefits

  • Competitive salary: £46,000 per annum.
  • Generous pension plan.
  • Flexible working arrangements.
  • 25 days holiday, increasing with service.
  • Opportunities for professional development and advancement.

Please note, due to the volume of responses we receive, if you have not heard from us in 5 days your application has been unsuccessful.

Required skills

  • Data
  • Data Analysis
  • Data Management
  • Data Warehousing
  • Python
  • Software Development
  • SQL
  • Sql Server
  • Windows Azure
  • Azure

Reference: 52904268

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