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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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