Data Engineer Lead for Cloud Based ETL Pipelines

7 days ago


Budapest, Budapest, Hungary HAYS Hungary Kft. Full time
Data Engineering Lead Opportunity in HAYS Hungary Kft.

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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