Data Engineer (Hybrid or Onsite)
At a glance
Mid-level Data Engineering role at Viva.com. Marousi · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain ETL pipelines that move data from varied sources into usable systems
- Use SQL and Azure technologies to extract, reshape and load data for business use
- Add AI and machine learning methods to data workflows to automate cleansing and support predictive analysis
- Improve pipeline design, data accuracy and visual reporting through machine learning and data tools
- Find manual data tasks to automate and refine how data is delivered
What you bring
- A bachelor's degree in an IT-related field
- Experience applying AI or machine learning frameworks to build and deploy models for data work
- Working knowledge of relational and NoSQL databases, including SQL Server, Oracle or Mongo
- Experience with ETL or data integration tools such as SSIS or Azure Data Factory
- Fluent spoken and written English
Who this fits
This mid-level role suits someone who combines data engineering with AI and machine learning experience, and works well in a team while sharing knowledge. It is based onsite in Marousi, Greece.
From the employer
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.
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.