Senior Azure Data Consultant

Our values are a big part of who we are. They reflect how we work with our customers and each other.  We are very proud to have been recognised as a Great Place to Work® and as a UK’s Best Workplace™ for Women, for Wellbeing and for Tech!  We are a diverse group of professionals and act as champions for each other. We maintain an open, friendly and collaborative culture that is respectful of everyone’s opinion and our growth mindset defines the way we think and act. 

We are looking for a Senior Azure Data Consultant to join our growing team.  

The ideal candidate has experience of building data pipelines, data modelling, working with Azure data services including exposure to Machine Learning and AI principles. You enjoy optimising data systems and building them from the ground up. The Architect will support the team on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be comfortable supporting the data needs of multiple teams, systems and products. 

You will need to create complex high-quality solutions that make meaningful impact. You’ll be responsible for overall leadership and delivery of the solutions from requirement gathering through implementation. You’ll use your in-depth knowledge of leading-edge products and technologies along with industry and business skills to influence outcomes.

The role will vary depending on the project but will primarily focus on the delivery of enterprise-level applications in the Business Intelligence and Data Analytics space. This is a client-facing position, so the ideal candidate must be comfortable speaking with clients and some occasional travel. 

• Working on projects that utilise products within the Microsoft Azure and SQL Data analytics stack, including Synapse, Data Lake, Data Bricks and Power BI 
• Satisfying the expectations and requirements of customers, both internal and external 

• Supporting others in their development 
• Building solutions that adhere to our client’s data principles and delivering against our Data Management framework 

• IT or Business Management Degree (not essential) or equivalent training 

• Consultancy experience across Financial, Retail. Not for profit industries. 
• Presales consultancy experience 
• Experience working in data quality, data governance or data management
• 5+ years’ experience 

• Advanced working knowledge of Microsoft Azure data services. 
• Certified or looking to complete Azure certification for the below pathways.  
• Microsoft Data Fundamentals 
• Microsoft Azure Data Engineer Associate 

• AI Fundamentals 
• AI Engineer Associate 
• Azure Administration 

• • Industry experience in delivering Microsoft Azure/SQL, Data Analytics solutions, with a good grounding in all associated areas including Synapse, Data Lake, Data Bricks, Azure SQL, Logic Apps and Power BI. 
  • Experience working with Azure DevOps 
  • Experience in migrating SQL Server VMs to Azure 
  • Strategic and operational decision-making skills 
  • Outstanding interpersonal skills 
  • Ability and attitude towards investigating and sharing new technologies 
  • Ability to guide, direct or influence people 
  • Ability to identify opportunities and issues 
  • Willingness to learn based on feedback 
  • Able to help others develop 
  • Experience and/or knowledge of data quality and lineage tools: Ad Initio, Collibra, Informatica, IBM MDM, Azure Purview 
  • Experience creating and using data models and data definitions 
  • Strong presentation skills both written and oral, experienced in presenting complex data concepts to a business audience i.e. running workshops and formal data governance meetings 

• Comfortable with the consulting lifestyle, willing to travel to clients, the office, able to work extended hours on occasion and to spend nights away from home (some international travel may be required).  
• Candidates will hold a United Kingdom driving licence  

• Bonus Scheme  
• Pension    
• Life insurance – 3 x basic salary.   
• Private healthcare  
• Access to EAP programme  

• Exercise subsidy  
• Cycle to Work Scheme