Azure Data Engineer

1 month ago

London, United Kingdom Venturi Full time

Role - Azure Data Engineer

Rate - £500 Per Day Outside IR35

Remote work with an openness to travel to London if required

Duration - 6 months

My client is seeking experienced Azure Data Engineers for a stakeholder-facing project. This role will have particular emphasis on Azure, Databricks and DevOps. Our client is in the consultancy sector but does not have a preference for previous experience within a consultancy role.

There is also a key element of delivery within the project, focusing on delivering technically but also ensuring the quality of delivery within a wider team of Data Engineers. The ideal candidate needs experience and confidence to speak up when several teams can be involved in delivering the project. There is a massive emphasis on Pyspark and Databricks for this particular role.

Technical Skills Required:

  • Azure (ADF, Functions, Blob Storage, Data Lake Storage, Logic Apps, DevOps)
  • Databricks
  • Spark
  • Delta Lake
  • SQL
  • Python
  • PySpark
  • ADLS

Soft Skills Required:

  • Stakeholder Management
  • Experience in a Senior Data Engineering role
  • Project Delivery Experience
  • Face-to-face communication skills

Day To Day Responsibilities:

  • Extensive experience in designing, developing, and managing end-to-end data pipelines, ETL (Extract, Transform, Load), and ELT (Extract, Load, Transform) solutions.
  • Maintains a proactive approach to staying updated with emerging technologies and a strong desire to continuously learn and adapt to new tools, languages and methodologies in the ever-evolving field of data engineering and analytics.
  • Possesses expert knowledge of the contemporary data engineering and analytics landscape, including current tools, pertinent approaches and likely challenges.
  • A strong history of designing and constructing databases, analytics systems and Business Intelligence (BI) platforms within the context of Big Data.
  • A demonstrable ability to mentor and coach junior data engineers, sharing knowledge and expertise to help them grow in their roles.
  • The capability to collaborate efficiently with business stakeholders to understand their requirements and translate them into effective data solutions.
  • Strong support for Continuous Integration/Continuous Deployment (CI/CD) practices and an understanding of agile working methodologies.
  • Knowledge and experience working with Delta Lake, a storage layer that brings ACID transactions to data lakes.
  • Understanding of the Azure Platform setup including Subscriptions, Resource Group, IAM, Networking and DevOps.
  • Experience in setting up processes for cost/performance monitoring Spark jobs to improve maintainability.
  • Have deep knowledge of providing technical governance to enhance ways of working to improve the SDLC process.

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