Job Description

The role operates as a key member of our Managed Services team, assisting with the design and provisioning of Azure infrastructure for our customers cloud workloads including Data Analytics platforms and providing DevOps support during solution delivery and on into production operation.

This is a customer facing position. You will be working with our customers daily.

You ll be working, collaborating and socialising with your colleagues across all four offices. There will be a need to occasionally work outside of the normal office hours, but this can be remotely (from your home).

RESPONSIBILITIES

As a Senior Data Engineer - Managed Services you will be expected to do the following:
Architect provision Azure infrastructures for a variety of workloads including data analytics platforms
Deploy and maintain Azure DevOps for Azure platform delivery and production support
Understand current Azure technology developments and develop the application of these to our customers scenarios.
Influence the architecture of solutions such that they are supportable,



including input into delivery frameworks and processes
Ensure that technical knowledge is transferred and retained
Act as a technical point of escalation for the Managed Service we deliver to our clients
Collaborate on the definition and on-going improvement of internal processes;
Mentor the wider Managed Service team Qualifications

EXPERIENCE SKILLS
Positive Hands on Experience on Azure Cloud or any of the following: Azure Data Factory, Azure Data Lake, Power BI, SQL Server, Databricks.
Demonstrable understanding of SQL; querying
Experience with Python/Pyspark
Enterprise level cloud infrastructure practices and an interest in application delivery
An attention to detail and a focus on continual improvement
Problem solving
Ability to identify opportunities and issues
Solid written and spoken English
Interpersonal skills
Experience of most of the following (but not limited t

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