Data Engineer

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 improve business decisions by providing all necessary information to all sectors (Management, Finance, Sales, Risk etc) using data gathered both internally and externally.

The team consists of highly expertised data and software engineers who, using Cloud technologies, build ETL Pipelines using all data source, transform and load it to Data Warehouse, Data Lake, Big Data & Sql databases. Data is processed with computation jobs and ingested for application consumption of Data Visualizations.

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.
• 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.

Requirements

• Bachelor's degree in IT related field.
• 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;
• 🏃🏽‍♂️Employee Wellness Program like Daily group sessions led by professional coaches;  
• 📚Career development and regular feedback to develop your skills.