Data Engineer Fully Remote

Job Description

This rapidly expanding Data Consultancy and Microsoft Gold Partner are looking for an experienced Data Engineer to support a range of Analytics projects. As a Data Engineer you will support BI programmes and projects in design and implementation of the ConsultancysAzure based Data and Business Analytics Platform as well as documenting design guides, and infrastructure guides.Client DetailsRapidly expanding Data Consultancy and Microsoft Gold PartnerDescriptionThis rapidly expanding Data Consultancy and Microsoft Gold Partner are looking for an experienced Data Engineer to support a range of Analytics projects. As a Data Engineer you will support BI programmes and projects in design and implementation of the ConsultancysAzure based Data and Business Analytics Platform as well as documenting design guides, and infrastructure guides.You will use your well-developed analysis skills to implement and maintain data platforms and Master Data Management implementations built predominantly on Microsofts Azure PaaS platform, on behalf of clients, and as part of a managed service solution.This role work very closely with the Analytical consultants to ensure data is available, in a suitable architecture for data modelling, visualisations and advanced analytics.This is a great opportunity for you to be further trained on / build upon and master many modern tools including Microsoft Azure Data Services and Master Data Management solutions. This will also include developing knowledge of new languages being Python(including PySpark) and SQL for unstructured queries amongst others.Key responsibilities:

• Running data and infrastructure workshops and be responsible for agreeing and gaining sign off with the customer. While being hands on, you will lead and support others in the Data Engineering function and provide guidance to the senior team and analyticalteams.
• Work with a range of stakeholders across multiple clients to provide architectural support and design and implement ETL, or ELT dependant on the client infrastructure and data security requirements.
• Articulate the Consultancys Information Strategy Methodology to customersEnsure all benefits of the Information Strategy can be conveyed to customers in theappropriate context
• Work with the CTO and data engineering team to develop the Consultancys InformationStrategy Methodology from a technical perspective
• Adhering to a standardised architecture and following a consistent project approach across numerous customers.
• Implementing, managing, and supporting data platforms in the form of Cloud based big data platforms or traditional (database) Data Warehousing.
• Work with partners products and implement their solution
• Consulting with business users to gather BI requirements in relation to the ETL/ELT
• Work alongside the CTO to scope and define data requirements to support the developmentof analytical outputs, aligned to the Information Strategy Methodology and otherprogramme outcomes.
• Conducting development testing and end-user acceptance testing, using and managing multiple environments from development, testing, production

Technical Skills required:There is an opportunity to train and develop your skills in any of the technical requirements listed below, but demonstrable expertise in Data Warehouse development is essential. Experience in some or all of the following is highly desirable:

• Azure Foundations
• Azure Integrated Runtime
• Azure Data Factory
• Azure SQL Database (On-premises and Cloud)
• Azure Data Lake Store
• Azure Databricks, including Python (PySpark)
• Master Data Management (MDS/DQS, Profisee, Civica MDM, Customer Insights)
• Azure Synapse
• Visual Studio, Visual Code, Microsoft Management Studio
• Team Foundation Services / Github
• Oracle Db (9/10/11/12g)
• Data modelling (tabular) in SSAS/Power BI, with advanced knowledge of query development (M) and DAX

ProfileThere is an opportunity to train and develop your skills in any of the technical requirements listed below, but demonstrable expertise in Data Warehouse development is essential. Experience in some or all of the following is highly desirable:

• Azure Foundations
• Azure Integrated Runtime
• Azure Data Factory
• Azure SQL Database (On-premises and Cloud)
• Azure Data Lake Store
• Azure Databricks, including Python (PySpark)
• Master Data Management (MDS/DQS, Profisee, Civica MDM, Customer Insights)
• Azure Synapse
• Visual Studio, Visual Code, Microsoft Management Studio
• Team Foundation Services / Github
• Oracle Db (9/10/11/12g)
• Data modelling (tabular) in SSAS/Power BI, with advanced knowledge of query development (M) and DAX

Job OfferOpportunity to join a rapidly expanding Data ConsultancyOpportunity to develop skills in Data Engineering

Keyskills :
ETLELTdata engineerazure