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Data Engineer (Athens, Thessaloniki, Heraklion) at Vodafone United States

Athens, Attica, Greece -

Full Time

Start Date

Immediate

Expiry Date

19 Feb, 26

Salary

0.0

Posted On

21 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Google Cloud Platform, BigQuery, Dataflow, Microsoft Azure, Data Factory, Synapse, Data Ingestion, Data Transformation, Data Delivery, GenAI, Analytics, CI/CD, Data Workflows, Architecture Review, Quality Control

Industry

Telecommunications

Description

You will work closely with Product Owner and Solution Architect to understand business, technical needs and objectives as well as with the Data Engineers to ensure the smooth data feed from source systems to various Destinations. Design, build, and maintain scalable, secure, and efficient data pipelines leveraging Google Cloud Platform (BigQuery, Dataflow) and Microsoft Azure (Data Factory, Synapse). Ensure high-quality data ingestion, transformation, and delivery to support GenAI use cases and downstream analytics. Optimize data workflows for performance, cost-efficiency, and scalability. Work closely with Product Owner, Solution Architect and Data Engineers to develop new flows in and migrate the existing on premises infrastructure to GCP. Participate in reviewing appropriate architecture, code and requirements and making recommendations to Business and Product. Ensure the quality control of data pipelines and promote best data engineering practices. Stay current with industry trends and best practices in data engineering, CI/CD, and apply them to enhance our data infrastructure. Not a perfect fit? Worried that you don't meet all the desired criteria exactly? If you're excited about this role but your experience doesn't align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.

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Responsibilities

You will design, build, and maintain scalable data pipelines while ensuring high-quality data ingestion and delivery. Collaborate with various stakeholders to optimize data workflows and migrate existing infrastructure to GCP.