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Data Engineer

Nigel Wright Group
Birmingham
1 month ago
Applications closed

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The Company


Nigel Wright are delighted to be working with an expanding professional services firm in their search for a Data Engineer.


The Role


Joining a newly created team you'll play a key part in transforming how data flows through the organisation. You'll take the lead on all data migrations from planning, designing, execution and data quality checks. Your work will directly contribute to the success of the organisation; helping to harness the power of data to fuel data future decisions and strategies.


Other key responsibilities include:


  • Data Mapping and Transformation - Designing and implementing data mapping and transformation processes will be a major part of your role as you move data from legacy systems to modern platforms
  • ETL Processes - You'll build and optimise ETL scripts and tools to ensure seamless data flow
  • Data Quality Assurance - You'll perform validation checks to ensure that all data is correct and complete through the migration
  • CI/CD - You'll be involved in DevOps activities such as version control and migration of code artefacts to live migrations
  • Collaboration - Working closely with business analysts, DBAs and developers to ensure every migration project is executed flawlessly


The Requirements


This is a fantastic and rare opportunity for someone who thrives on solving complex data challenges and is passionate about building high-performance, scalable data systems. If you're looking to make an impact whilst working with cutting edge technologies then this could be the ideal role for you.


Key requirements include:


  • Proven experience in data migration, database management or related roles
  • Hands-on experience with ETL tools (e.g. Data Bricks, Data Factory, SSIS)
  • Experience with SQL, NoSQL and various database technologies
  • Strong experience of migrating data across different platforms
  • Familiarity with Azure cloud services is preferred however other cloud solutions would be considered
  • Knowledge of data warehousing solutions and BI tools
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