Senior Data Engineer

Version 1 is looking for an experienced data engineer join its Managed Services team. The ideal candidate will have a proven track record in implementing DWH/Data Visualisation solutions, along with data ingestion and transformation pipelines for large scale operations. We are looking for an individual who enjoys a fast pace, can prioritise workload, and can work under their own initiative. You will have solid background in supporting and implementing data solutions. 

You will work within a blended team of junior engineers right up to Principal Architects and have plenty of opportunities to develop skills across the Microsoft stack. Within this team we actively encourage knowledge sharing and regularly identify gaps for training and personal progression.  We currently support and implement projects for many clients across several industry sectors. This gives the opportunity to gain exposure and “hands on” experience to different technologies and platforms from on-premise solutions to Cloud.

This is a great opportunity for the successful candidate to progress their existing data skills working with cutting edge technologies, in addition to the following:

• The technical ability to problem solve complex issues.
• The flexibility to move between clients, projects, technologies.
• A collaborative team member.
• Develops understanding of clients business, applications and users.
• Effectively communicate technical issues to business users.
• Ability to identify, recommend and implement continuous service improvements.
• Client facing skills.

• A high degree of experience across the entire Microsoft BI Stack including SQL Server, SSIS, SSAS, SSRS & Power BI.
• Being able to support, create and enhance ETL solutions using Azure Data Factory.
• Knowledge of the Azure suite of resources that can enhance BI solutions such as Azure VM’s, Azure SQL Database, Log Analytics, Logic Apps, Azure Analysis Services, Azure Data Lake, Databricks, Azure Key Vault.
• Strong SQL Skills – the applicant must be able to write performant SQL queries and stored procedures while also being able to understand and reverse engineer issues back to the source and then applying a fix.
• Design, build and reverse engineer reports in Power BI using various data sources with a demonstrated understanding of DAX and Power Query.
• Working knowledge of other BI Tools including Qlik, Tableau & AWS Quicksight.
• Some knowledge of other database engines such as Oracle, MySQL.
• Experience with disaster recovery methods and capacity planning for both on-premise and cloud-based solutions.
• Accurately estimate pieces of work both small and large and successfully execute on these estimations.
• Ability to perform some DBA tasks such as performance tuning, optimisation sizing, backups, upgrading, migrating etc.
• Knowledge of source control solutions such as Git and DevOps.
• Ability to work under pressure, handle complex change and prioritize key activities.
• Implement full lifecycle activities including, but not limited to detailed analysis, design, development, test, user acceptance test support and production implementation.
• Adhering to coding standards and best practices.
• ITIL knowledge and the ability to understand and demonstrate service management best practices.
• Some knowledge of Amazon AWS, Attunity replicate would be seen as beneficial.

Please note: We are only looking for SC Cleared candidates for this role.