Job Description

ROLE 

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 arena.  

This is a client-facing position, so the ideal candidate must be comfortable speaking with clients and occasional travel. 

Our offices are in Farnham and London. The role can be based at either location. Induction, training and company meets are done at both offices.

RESPONSIBILITIES 

• Working on projects that utilise products within the Microsoft Azure and SQL Data analytics stack 
• Satisfying the expectations and requirements of customers, both internal and external 
• Supporting others in their development 
• Contributing to the Telefonica Tech UK&I - Data&AI internal and external community 

Qualifications

EXPERIENCE & SKILLS 

• Some industry experience or exposure in delivering Microsoft Azure or SQL Data Analytics solutions, with a good grounding in all associated areas 
• Proven written and spoken English 
• 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 
• Ideally, degree educated- computer science, data analysis etc. 
• Microsoft certified (nice to have) 

TECHNICAL SKILLS 

Peoples skills vary and that’s great because the role varies. You should be comfortable with at least one of the core technologies below and have an interest in at least two others within the core/supporting/principles. Current Microsoft certifications are useful but not mandatory – we’ll help you get those! 

Core: 

• SQL Server (T-SQL and DBA) 
• Data Analytics stack (IS, AS, RS) 
• Power BI, DAX 
• MDS 
• Azure Data Lakes 

Supporting: 

• Databricks
• Fabric
• Azure ML 
• .Net/HTML5 
• Azure infrastructure 
• R, Python 
• Powershell 
• Hadoop, Data Factory 

Principles: 

• Data Modelling 
• Data Warehouse Theory 
• Data Architecture 
• Master Data Management 
• Data Science 

Additional Information

We don’t believe hiring is a tick box exercise, so if you feel that you don’t match the job description 100%, but would still be a great fit for role, please get in touch.