Expert Data Engineer-Contract
Daily tasks
Lead Development of new functionality in the Python-based ETL pipeline
Define best practices and coding principles based on Allianz standards, mentor and lead Data Engineers.
Plan maintenance and optimalization
of the existing pipelines in Python and Azure Data Factory
Coordinate with various stakeholders in development, architecture, rollout and operations teams as well as with customers to estimate and plan development of new features
Plan capacity and sizing of the service components, proactive cloud component management
Initiating planning and set up of new service components
Coordinate the operations and maintenance of related software, complex server infrastructure and databases (Synapse, PowerBI, Local development)
Maintain service related documentation according to Allianz Technology standards
Monitoring and SLA Management
Document, maintain and optimise processes and configurations related to the environment
Manage and support service related risk assessments and audits
Professional requirements
At least 5 years’ experience in data engineering
At least 3 years’ experience with data oriented Python (Polars, Pandas, Pyspark, …)
At least 3 years’ experience with Microsoft Azure
Solid understanding of cloud architecture
ITIL
Experience with software as a service concept
Strong analytical skills
Organising abilities
Strong customer focus
Can rapidly adapt and respond to changes in the environment and priorities
Advanced English is a must
Excellent communication skills with high customer focus
Excellent stakeholder management skills
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
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