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Viva.com

Cloud-based neobank offering payment processing

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeMarousi, Greece

About the Job

Requirements

  • A Bachelor's degree in an IT-related field is required.
  • Experience with artificial intelligence and machine learning frameworks for developing and deploying machine learning models to enhance data processing and analysis.
  • Proficiency in artificial-intelligence-powered data tools and platforms to automate data pipelines and improve data quality and insights.
  • Expertise with relational databases, including SQL Server, Oracle, and MySQL, and NoSQL databases, including Mongo, Impala, and CouchDB.
  • Previous experience with data integration and extract, transform, and load (ETL) tools, such as SSIS or cloud-based tools such as Azure Data Factory.
  • Experience with data visualization and reporting tools such as Power BI and Tableau.
  • Fluency in English, both spoken and written.

Responsibilities

  • Design and implement solutions for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure technologies.
  • Integrate artificial-intelligence-driven analytics tools into the data pipeline to enhance data processing, automate data cleansing, and generate predictive insights for improved business decision-making.
  • Use machine learning algorithms to optimize ETL processes, improve data accuracy, and develop intelligent models for real-time data analysis and visualization.
  • Design, develop, and maintain new and existing data and ETL pipelines.
  • Perform tasks efficiently and in a timely manner.
  • Create optimal data pipeline architecture and systems.
  • Continually advance technical knowledge and skills.
  • Identify, design, and implement internal process improvements, including automating manual processes and optimizing data delivery.

Desired Qualifications

  • Experience with various cloud services, such as Azure and AWS.
  • Experience with cloud data warehouses such as Azure Data Warehouse or analytics platforms such as Databricks and Microsoft Fabric.
  • Experience with streaming platforms, on-premises or cloud-based, such as Apache Kafka and Azure Event Hubs.
  • Programming skills in Python or another programming language.
  • Demonstrable knowledge of agile methodologies and version control systems such as Git.
  • Experience with artificial intelligence and machine learning modeling tools.

About the Company

Viva.com

Cloud-based neobank offering payment processing

Viva Wallet provides cloud-based payment solutions and banking services for businesses across 24 European countries, including online payment gateways, in-person POS, merchant accounts with local IBANs, and corporate debit cards. Its platform runs on Microsoft Azure and supports 30+ payment methods, with features like Tap to Pay on iPhone/Phone and Smart Checkout that localizes language, currency, and payment options to boost e-commerce conversions. It differentiates itself with a 0% commission model for merchants who use both card acceptance and Viva Wallet’s corporate card, and it holds a banking license that enables services like merchant cash advances. Its goal is to simplify cross-border payments for merchants, expanding its European footprint in payments and banking services while integrating card acceptance and mobile payment capabilities.

Company size
501-1,000
Company stage
Acquired
Total funding
$178.5M
Headquarters
Athens, Greece
Founded
2010

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