Senior Data Engineer - Southampton

Competitive Salary
Ref: 152 Date Posted: Friday 14 Jan 2022
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Futures Recruitment Services are working alongside our client who are looking for a Senior Data Engineer to help deliver their exciting new technology strategy.

This role will centre on the design, implementation and monitoring of data solutions for the Azure Data platform. You will also be asked to provide technical expertise in evaluating requirements, developing efficient artifacts and maintaining technical design documents.

Key Responsibilities of a Senior Data Engineer:

  • Provide expertise in evaluating requirements, creating technical design documents and applying an Agile development methodology.
  • Develop high-performing and secure data pipelines and data stores that support our cloud data strategy including ingestion, validation, data quality, transformation, integration and modelling activities.
  • Monitor and optimise the data platform to support data pipeline performance and contribute to continuing process improvement.
  • Deploy new or implement changes to existing data workflows in line with Change Management Framework.
  • Document and adhere to data platform policies, procedures and standards.
  • Collaborate with a range of internal or external stakeholders and contractors to develop data solutions.
  • Maintain professional and technical knowledge of the evolving data landscape through continual professional development.
  • Operating within a Centre of Excellence, which includes advocating best practices, providing training, and sharing knowledge with peers.

Skills & Knowledge of a Senior Data Engineer:

  • Proven experience working with Azure data platform services including Data. Factory, Data Lake Storage Gen 2, Databricks, SQL Database and Active Directory.
  • Experience using Azure DevOps and/or GitHub to manage tasks and development within an Agile framework.
  • Exposure to Azure Purview, Azure Synapse Analytics, Power BI and Profisee is an advantage.
  • Good knowledge of SQL and PySpark data processing languages.
  • Knowledge of Json, XML, DAX and RegEx is an advantage.
  • Good working knowledge of parallel processing technology and data mart architectures.
  • Experience working with non-relational databases and unstructured data is beneficial.
  • Ability to compile accurate and concise technical documentation.

Our client will provide training, both in house for relevant technical knowledge and for professional qualifications to enhance your ability to provide sound services.

Company Benefits:

  • 25 Days Holiday + Bank Holidays.
  • Private Health, Income Protection & Worldwide Travel Insurance.
  • Generous Bonus Scheme.
  • Free Onsite Parking.
  • Pension and a lot more!