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Viva

Data Engineer (Hybrid or Onsite)

  • Seen live on Viva's site yesterday
  • Mid level
Pay
Not stated
Location
Marousi, Attica, Greece
Open for
9+ days
First seen
Oct 26, 2026
Apply on Viva's site (opens in a new tab)

Posting record

No flags

Open 9+ days

The posting's record, oldest first
  1. Viva's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Viva, so its true age is longer.

Last checked Nov 3, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

Upload your resume

What it asks of you

Bachelor's degree asked for
“Bachelor's degree in IT related field;” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

Viva.com is the first Tech Bank in Europe for businesses, serving 31 countries through its pan-European critical infrastructure for payments & banking services.

Viva.com’s offering spans omnichannel payment acceptance, deposit accounts, card issuing, and a broad suite of financing solutions, providing businesses of all sizes and sectors with the tools they need to operate efficiently, both domestically and internationally, through a single integrated platform.

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 domestic 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.

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