Data & AI consultant

For our client in Stockholm we are looking for an experienced Data & AI consultant.
Requirements:
Passion for new innovative technology and drive customer transformation
Ability to travel domestically and internationally and work with different cultures and customers (25%-50% travel)
Ability to communicate with a variety of different audiences and strong presentation skills
Demonstrate effective balance between business and technical acumen
Ability to lead and motivate technical communities
Ability to effectively recognize and adapt to change
Ability to deliver presentations and discuss complimentary products at a solutions level
Ability to handle customer critical issues and work in difficult situations
Effective written and verbal communication skills, with both technical and non-technical audiences
Ability to evaluate end-user business requirements, translate them into technical specifications, and then develop and implement the appropriate technical solutions
Fluent English in oral and written communication
An appropriate BS/BA degree and relevant industry work experience in a customer facing consulting role
2+ years of advanced database or advanced analytics experience
Experience with Agile (Scrum / Kanban)
3+ years of technical expertise in an enterprise environment
Relevant Azure certification
Ability to work both independently as well as collaborating in a fast-paced team environment where technology and customer requirements can change
Deep technical or architectural knowledge of at least 2 of the following areas preferred:
* Database administration – performance tuning, troubleshooting, high availability / disaster recovery, security
* Database development – designing and building database solutions (tables / stored procedures / forms / queries / etc.)
Desired skills:
Business intelligence – combining knowledge of Synapse/Power BI/SSIS/SSAS/SSRS technologies with a deep understanding of data structure / data models to design, develop, and tune BI solutions and reports
Advanced data analytics – designing and building solutions using technologies such as Azure Data Factory, Azure Data Lake, HD Insights, SQL DWH, stream analytics, machine learning, R server.
Big Data implementation – using Open Source and Non-SQL technologies such as Databricks, Spark, Spark Streaming, Kafka, Storm, Zeppelin, Scala Software development, Hadoop Hive, Hadoop Map Reduce, Hadoop Clusters, Cosmos DB.
Experience using operating systems Linux and/or RedHat