Job Advert
If you can solve a Rubik’s cube, spent hours playing with Lego or ever built a new world in Minecraft, you could be the type of Data Engineer we need.
We are recruiting an analytical thinker with that wow factor to join our team to support developing modern data warehouse solutions using Azure Stack, as well as designing information systems and work-flow diagrams.
If you have the drive to and create innovative big data solutions to drive revenue through a technology enabled strategy then apply today.
What you’ll be doing
- Designing, implementing, and supporting key datasets that provide structured and timely access to actionable business information with the needs of the end customer always in view
- Retrieving and analysing data using SQL, Excel, and other data management systems
- Creating ETLs/ELTs to take data from various operational systems and craft a unified dimensional or star schema data model for analytics and reporting
- Creating data tools and web/digital/mobile applications for analytics and data scientist team members that assist them in building and optimising our analytics, including deployment into operations and client systems
- Assembling large, complex data sets that meet functional / non-functional business requirements
- Identifying, designing, and implementing internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.
- Building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Azure and the continually emerging big data technologies
- Embedding processes to ensure we regularly check and improve data quality of our core analytics data sources and warehouse
- Creating and maintaining optimal data pipeline architecture and work with data and analytics experts to strive for greater functionality in our data systems
- Building analytics tools that utilise the data pipeline to provide actionable insights into customer experience, operational efficiency and other key business performance metrics
What you’ll need
- Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
- Knowledge or experience of one or many of SQL, SAS/R, VB, Qlikview etc. ASP.NET, C#, ADO.NET, OOPs, LINQ & Entity Framework, AJAX, Java Script, Web Services, WCF, SQL Server2008/14/16, HTML, XML
- Familiarity with the main data manipulation languages and the principles of database design is mandatory along with knowledge of various database management systems (SQL/Oracle etc)
- Analysis and development of prototyping, developing, testing and implementing data related applications
- Hands-on experience with Microsoft Azure Stack including Azure Data Lake, Azure Data Factory, Azure Data bricks, Notebooks, Analytics / OLAP Cube Development (Microsoft AAS and MDX), Log Analytics, DevOps, Python, Pyspark Sql , Spark Sql, and Data Modelling
- Experience with Azure to design, support, and management of the environment.
- Experience with production BI implementation in the Cloud
- Expertise with application design, software development and automated testing, preferably in a mobile/digital space
- Ability to effectively interpret technical and business objectives and challenges, and articulate solutions
- Experience building and optimising big data pipelines, architectures and data sets
After applying, you will be sent a link to complete a quick online chat. Take this opportunity to join our collaborative team of game-changers today.
