Leverage central enterprise data platforms for data cataloguing, master data management and
Reference data managementYou will need a collaborative delivery approach to be successfulWe prefer to use agile but
Choose the appropriate approach for the projectSo, experience of a variety of delivery
Management methodologies would come in useful.
You will need to have
Experience with & knowledge in a broad base of data tools, etl frameworks, monitoring
And data technologies, for example our stack includes: sap hana, sap mdg, powerbi,
Qlik sense, qlik replicate, emr, hudi, collibra, snowflake, dbt, datakitchen, aws
Kinesis.
experience of visualisation technologies (we are focused on power bi and qlik sense),
knowledge of data mesh and data product, in particular, experience with delivering and
Managing data products
knowledge of data architectures, design including dimensional modelling
knowledge of cloud-based data management services: aws, or equivalent
advanced sql skills
experience of building scalable high availability analytics solutions
continuous integration and continuous development
experience of data analysis, such as: profiling, investigating, interpreting and
Documenting data structures
experience of managing and providing bau support to data solutions
In addition, candidates will be expected to demonstrate:
people leadership – in developing and leading successful data teams in complex
International organisationsUnderstanding of people motivation, drivers and
Development goals
advanced experience with project delivery and agile methodologies
influencing and innovation skills
good communication and facilitation skills
good written and verbal skills, fluent english.
It is also desirable for candidates to demonstrate:
domain knowledge: understanding of develop, plan, source, make and deliver business
DomainUnderstanding of the structure, provenance and meaning of the source data
Crucial to these data domains.
knowledge of data privacy, gxp, gdpr regulation
Hiring insights
Job activity
Posted 19 days ago
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