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Fabric Data Engineer

Broster Buchanan Ltd
Posted a day ago, valid for a month
Location

Liverpool, Merseyside L96GB, England

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • Broster Buchanan is seeking a mid/senior Data Engineer with Fabric experience for a new project team in the food industry, which has a turnover of over £8 billion.
  • The role offers an opportunity to work on exciting projects with cutting-edge technology while being upskilled to architect level long-term.
  • This mostly remote position is ideal for candidates near Liverpool, as occasional travel to the office will be required for meetings and workshops.
  • The salary for this role ranges from £55,000 to £65,000, along with a 10% bonus and potential flexibility for the right candidate.
  • Candidates must have at least 3 years of experience as an Azure Data Engineer and a strong understanding of data warehousing concepts.
Broster Buchanan are partnered global business within the food industry with a turnover of £8Bn+ who are looking for a mid/senior Data Engineer with Fabric experience as they set up an exciting new project team within the global group. This would suit a Data Engineer looking to join a new, growing team with plenty of exciting projects and cutting tech on the horizon. As the organisation need an architect long term this person will be brought in and upskilled to architect level.This will be a mostly remote role but would suit someone near Liverpool as there will be ad hoc travel into the office when required for onsite meetings, workshops etc. A salary of £55k - £65k +10% bonus is on offer, with some potential flexibility for the right person.Responsibilities:
  • Design, develop, and maintain scalable and efficient data pipelines using Microsoft Fabric components (Data Factory, Synapse Data Engineering, Dataflows Gen2).
  • Extract, transform, and load (ETL/ELT) data from diverse sources, including ERP systems, databases, APIs, and flat files, into the Fabric Lakehouse.
  • Implement data quality checks and validation processes to ensure data accuracy and reliability.
  • Design and implement data models and schemas within the Fabric Lakehouse to support analytical and reporting requirements.
  • Manage and maintain data security and access controls within the Fabric environment.
  • Develop data transformations using relevant technologies within Fabric Synapse Data Engineering.
  • Collaborate with data analysts and business stakeholders to understand data requirements and translate them into technical specifications.   
  • Develop data models for reporting and analytical purposes.   
  • Monitor data pipeline performance and identify areas for optimisation, as well as troubleshoot and resolve data-related issues.
  • Implement monitoring and alerting solutions to ensure data pipeline reliability.
  • Work closely with other data engineers, data analysts, and business stakeholders.
  • Document data pipelines, data models, and other technical specifications.
  • Communicate effectively with team members and stakeholders.
Requirements:
  • 3 or more years proven experience as an Azure Data Engineer.
  • Strong understanding of data warehousing concepts and principles.
  • Hands-on experience with Microsoft Fabric, including Data Factory, Synapse Data Engineering, and Dataflows Gen2 would be highly beneficial
  • Proficiency in SQL and Spark (Scala, Python, or SQL), plus ETL/ELT processes and tools.
  • Good knowledge of data quality and data governance principles.
  • Experience with Power BI for data visualisation and reporting is a plus.
If you are interested please click apply and share your CV.

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.