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Azure Data Platform Engineer


Posted on Aug 11, 2022 by CV-Library

London, United Kingdom
Immediate Start
£75k - £100k Annual
Azure Data Platform Engineer - Insight & Data Services - Permanent

Salary guideline: £50,000 - £80,000 pa (DOE) + Benefits, pension up to 6% contributory, Health Insurance, Life Assurance etc.

Base Location: Part Remote / London / UK wide

The Client:

Our client is a global leader in Systems Integration and IT Consultancy. They have built out a super advanced and respected industry wide Insights & Data Practice. The Data Engineering, Architecture and Platform practice is part of global Insights & Data group; their goal is to help the organisations they work with become truly 'insight driven', to fully exploit their data using the convergence of Cloud and Artificial Intelligence to deliver real business value. Their objective is to marry the most innovative insights solutions with rock solid, industrialised engineering.

The Role:

We can't become 'insight driven' without data. We can't deliver the AI revolution without data. Data is the lifeblood of everything we do in Insights and Data. We embrace experimentation and industrialisation, so we need passionate, energetic data engineers who are focused on using their skills to drive out real business value from their data assets.

Now the data space is clearly very large, thus the myriad of skills and technologies is equally sized but also rapidly evolving. So, it's important to us that you have a desire for continued learning.

Essential Experience:

We are looking for different levels of experience Mid-Level Engineers with 4+ years, and Senior and Leads with 7+ years commercial experience of Data Platform Engineering on the Microsoft Azure Platform and associated Azure Tech stack.
Experience with the Azure stack and Microsoft PaaS offerings - Azure SQL Database and Azure SQL Data Warehouse plus orchestration products like Azure Data Factory and Enterprise Service Bus
Broad range of development skills across the Microsoft stack e.g., SQL Server, Integration Services (SSIS), Analysis Services, Reporting Services (SSRS) from versions 2005 to 2016.
Any exposure to Google Cloud Platform (GCP), IBM Cloud and AWS (e.g. Athena, Redshift, Glue, EMR) is desirable
Python, Spark, SQL
Experience of developing enterprise grade ETL/data pipelines with tools like Informatica and Talend
Software engineering practices (coding practices to DS, unit testing, version control, code review)
Hadoop (especially the Cloudera and Hortonworks distributions), other NoSQL (especially Neo4j and Elastic), and streaming technologies (especially Spark Streaming).
Deep understanding of data manipulation/wrangling techniques.
Experience using development and deployment technologies, for instance virtualisation and management (e.g. Vagrant, Virtualbox), continuous integration tools (e.g. Jenkins, Concourse, Drone, Bamboo), configuration management tooling (e.g. Ansible) and containerisation technologies (e.g. Docker, Kubernetes, Swarm).
Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform).To apply please click the "Apply" button and follow the instructions. For a further discussion, please contact Jakob Russell - (phone number removed)

83DATA Limited is a boutique consultancy specialising in Data Science ML, AI, Big Data | Agile Software Development | Project Management within the UK. We provide high quality interim and permanent senior DATA & Technical professionals

Reference: 217336619

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