IBM Data Engineer - Cognos 

United Kingdom, England, London 

464960443

In this role, you’ll work in one of our IBM Consulting Client Innovation Centres (Delivery Centres), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centres offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

We offer:
· Regular and frequent promotion and progression opportunities to ensure you can drive and develop your career with us
· Feedback and checkpoints throughout the year; no one off annual reviews here
· A multitude of training opportunities from classroom to e-learning, mentoring and coaching programs as well as the chance to gain industry recognized certifications
· Diversity & Inclusion as an essential and authentic component of our culture through our policies and process as well as our Employee Champion teams and support networks
· A culture where your ideas for growth and innovation are always welcome
· Internal recognition programs for peer-to-peer appreciation as well as from manager to employees
· Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, 1 month paid paternity leave, 16 weeks fully paid maternity leave and an innovative maternity returners scheme
· More traditional benefits, such as 25 days holiday, a gym discount scheme, online shopping discounts, an Employee Assistance Program, a group personal pension plan of an additional 5% of your base salary paid by us monthly to save for your future.
Your Role and Responsibilities

• Develop data products to enable onward use of data by product teams.
• Support the client’s architecture community in solution design
• Ensure solution design adheres to best practice.
• Develop future roadmap of data processing capabilities:
• Create implantation of data processes to transform raw service outputs according to data science use case needs.
• Create data linking mechanisms to remove barriers to data access
• Develop and deploy Infrastructure as code using a template standard.
• Work on processes deployed and running in production.

Required Technical and Professional Expertise

• Experience of working with Azure data platform – building ETL in Azure Data Factory, taking data from Azure Data Lake into star schemas in Azure Synapse.

Preferred Technical and Professional Expertise

• Databrix and Machine Learning skills/experience