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Data Engineer

Technology
EasyDo Digital Technologies
Ieri
Normă întreagăLa sediu

Descrierea postului

Empowering our Clients with People-Driven Digital Innovation Across Europe

We are a Group managing digital IT services and solutions, driven by people, innovation, agility, and deep industry insight. We are working with the largest private and public institutions to deliver IT services and solutions.

Being an entrepreneurial digital services group with a Human-Sized Tech Company, we are built by passionate experts and led by seasoned leaders in IT and digital transformation.

As a Data Engineer, you will contribute to the business value of data-driven products developed in the Datalake or cloud environments by implementing complete data processing pipelines — from ingestions, transformations, to

API exposure and data visualization.

You will work in a dynamic, collaborative, and DevOps-oriented culture, alongside data engineers and data analysts across multiple functional domains.

Responsibilities:

 Design and implement complete data processing pipelines in both on-premise and cloud environments

 Develop new data products supporting a wide variety of functional domains

 Design and implement data ingestion pipelines and ML algorithms

 Build data products using both SQL and NoSQL standards

 Develop data visualizations using tools such as Looker, Spotfire, or Tableau

 Participate in selecting technologies and services to be used and in building a solid data tools ecosystem

Technical Skills:

 Minimum 3 years of experience as a Data Engineer.

 Proven experience with DataLake or Data Warehouse environments (data modeling, data quality, flow monitoring).

 Minimum 2 years of experience in Python programming.

 Good knowledge of the following tools and technologies:

 Google Cloud Platform, GitLab, Airflow, DataProc, IntelliJ, Spark/Scala or equivalent.

 Exposure to AI/ML tools in development activities (e.g., Vertex AI, GitHub Copilot).

 Fluent English and experience in international working environments.

Desirable

 Experience with AI projects, Dataiku, or Web applications is a strong plus.

 Familiarity with Jira and Confluence.

We offer

 Competitive salary and the opportunity to have a meaningful job where you can make a difference

 The chance to continuously evolve as a professional

 Medical insurance & Meal tickets. Variety of training opportunities

Join Us at EASYDO

With a team of 250 dedicated professionals, we combine technological excellence with a people-first culture. We believe in empowering talent, nurturing careers, and building long-term trust with our clients and our teams.
Keywords
Data EngineeringPythonGoogle Cloud PlatformData LakesData WarehousingData ModelingData QualityApache AirflowApache SparkScalaSQLNoSQLData Pipeline DevelopmentMachine LearningData VisualizationLookerCloud ComputingOn-Premise EnvironmentsData Processing PipelinesData Ingestion

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