Data Engineer (Hybrid or Onsite)

Reposted 2 Days Ago
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Marousi, GRC
Hybrid
Mid level
Fintech • Payments • Software • Financial Services
The Role
The Data Engineer will design and implement data extraction, transformation, and loading using SQL and Azure technologies while enhancing data processing with AI and machine learning.
Summary Generated by Built In

Viva.com is the 1st full-fledged Tech Bank in Europe for businesses, operating across 29 European countries. From payments to financing, all connected, Viva.com brings together omnichannel payments, banking services, tailored financing and all-in-one business solutions on a single integrated platform.

Its offering spans payment acceptance, deposit accounts, card issuing, and a broad suite of financing solutions - including working capital and advance booking financing - alongside fiscalisation services, giving businesses across all verticals access to the tools they need to run their operations efficiently, with one provider.

Built on cloud-native technology, Viva.com pioneered and leads in Tap on Any Device technology, enabling acceptance on any Android device or iPhone, while connecting directly to all major international and local card schemes, local payment systems, and alternative payment methods across Europe.

The Team

The Business Intelligence and Analytics team’s purpose is to enhance business decision-making by providing critical insights across all sectors (Management, Finance, Sales, Risk, etc.) through data gathered from both internal and external sources. The team comprises highly skilled data and software engineers who leverage AI-driven technologies to optimize data processing, analysis, and automation.

Using cloud technologies, they build robust ETL pipelines that aggregate data from various sources, transforming and loading it into Data Warehouses, Data Lakes, Big Data platforms, and SQL databases. Additionally, AI-powered computation jobs are used to process and analyze data more efficiently, enabling smarter application consumption of data visualizations and predictive analytics for informed decision-making.

Responsibilities:

  • Design and implement solutions required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure technologies;
  • Integrate AI-driven analytics tools into the data pipeline to enhance data processing, automate data cleansing, and generate predictive insights for improved business decision-making;
  • Leverage 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 in an efficient & timely manner;
  • Create optimal data pipeline architecture and systems;
  • Continually advance technical knowledge and skills;
  • Identify, design, and implement internal process improvements: automating manual processes and optimizing data delivery.

At Viva.com, we believe in amplifying human potential through AI. When you join us, you're stepping into a future-forward environment where technology empowers every role, driving smarter, more efficient. 


Requirements
  • Bachelor's degree in IT related field;
  • Experience with AI/ML frameworks for developing and deploying machine learning models to enhance data processing and analysis;
  • Proficiency in AI-powered data tools and platforms to automate data pipelines and improve data quality and insights;
  • Expertise on both Relational (SQL Server, Oracle, MySQL) and NoSQL (Mongo, Impala, CouchDB, etc.) database systems;
  • Previous experience on Data Integration and ETL Tools, SSIS or other Cloud based tools (eg Azure Data Factory);
  • Data Visualization / Reporting tools (PowerBI, Tableau);
  • The ability to perform in a team environment and share knowledge;
  • Excellent analytical and good problem-solving skills with a can-do attitude;
  • Fluent in English, both oral and written.

The following will be considered a plus:

  • Various Cloud Services (Azure, AWS);
  • Cloud Data Warehouses (Azure Data Warehouse) or Analytics Platforms (Databricks, Microsoft Fabric);
  • Streaming Platforms (both on premise or cloud, like Apache Kafka, Azure EventHub);
  • Programming skills (Python or any other language);
  • Demonstrable knowledge of agile methodologies and version control systems such as Git will be a plus;
  • AI and Machine Learning Modeling tools.

Benefits

💸 Competitive compensation package;
🎯Annual bonus based on your performance and targets' achievement;
🏥 Private health insurance for you and your family;
💻 Top of the Line tools and equipment;
📚 Career development and regular feedback to develop your skills;
🏃🏽‍♂️ Employee Wellness Program like Daily group sessions led by professional coaches.

Skills Required

  • Bachelor's degree in IT related field
  • Experience with AI/ML frameworks for developing machine learning models
  • Proficiency in AI-powered data tools
  • Expertise on both Relational and NoSQL database systems
  • Previous experience on Data Integration and ETL Tools
  • Data Visualization / Reporting tools proficiency
  • Ability to perform in a team environment
  • Excellent analytical and problem-solving skills
  • Fluent in English, both oral and written
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The Company
HQ: Athens
888 Employees
Year Founded: 2010

What We Do

Viva.com is Europe’s first acquirer powering merchant payments acceptance across 24 countries and 1165+ devices. With an ECB approved banking license and presence in 24 European markets, Viva.com’s Tap on Any Device technology for in-store payments, Smart Checkout payment gateway for online payments, and marketplace payment solution, help European businesses of any size to accept and manage payments how they want. All of Viva.com’s technology is built in-house over MS Azure, and is fully scalable, supporting any payment checkout journey. Viva.com provides a seamless, conversion-boosting omnichannel payments platform, featuring acceptance of 40+ payment methods across 17 languages and 9 currencies. Viva.com’s ever-expanding financial services' suite includes value added features such as Real-Time Settlement; Offline Payments minimising chances of losing a sale; a Viva.com business debit card to manage corporate expenses, while reducing acceptance fees to as low as 0%; and Merchant Advance. Learn more at viva.com

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