Data Engineer (Hybrid or Onsite) job opportunity at Viva.com.

Home Jobs In Greece Tag: Job Data Engineer (Hybrid or Onsite) position at Viva.com


Date2025-05-27T11:04:48.000Z bot
Viva.com Data Engineer (Hybrid or Onsite)
Experience: General
Pattern: Full-time
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degreeBachelor's (B.A.)
loacation Marousi, Greece
loacation Marousi....Greece
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Viva.com, the 1st Tech Bank in Europe for Businesses, revolutionises omnichannel payments acceptance, offers card issuing, loans and deposit accounts. Viva.com is the first to pioneer and holds the top position in the Tap on Any Device technology, enabling payments acceptance on any device or even without a device. Today Viva.com is leading the transition to All-in-One business solutions, powered by its full suite of financial services. To that end, reflecting its holistic approach to business needs, Viva.com has built a dynamic ecosystem featuring over 450 tech partner-innovators in the software and hardware space. Connecting directly to all local payment schemes, alternative payment methods and payment systems across the continent, further strengthens Viva.com’s value proposition.  Viva.com envisions to provide businesses a value-driven platform to accelerate the adoption of the latest technology.  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.  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.

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