Data Engineer Lead for Cloud Based ETL Pipelines
7 days ago
In this challenging role as Data Engineering Lead, you will be responsible for leading the development of new functionality in our Python-based ETL pipeline. Your task will be to define best practices and coding principles based on Allianz standards, mentor and lead Data Engineers.
Key Responsibilities:
- Plan maintenance and optimization of 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 service components, proactive cloud component management;
- Initiate 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;
- Monitor and SLA Management;
- Document, maintain and optimize processes and configurations related to the environment;
- Manage and support service-related risk assessments and audits;
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;
Salary: 1000-1200 EUR/hour (approximately 1900-2400 EUR/day) depending on your qualifications and experience.
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