Data Engineer

About snappi

At snappi, we are committed to a transformative mission: leveraging technology to empower individuals with true financial freedom. This is not merely a job; it is an exceptional opportunity to contribute to the creation of a neobank from its very foundation.

We invite you to be part of this journey. At snappi, we bring together top-tier talent to redefine the financial landscape, driven by a shared commitment to delivering innovative, accessible, and transparent digital banking solutions.

About the role

We are looking for a Data Engineer who will be responsible for designing, building, and managing the data architecture, pipelines, and systems that enable data acquisition, storage, processing, and analysis within an organization.

What you ’ll be doing

• Design, develop, and maintain scalable data pipelines and infrastructure for ingesting, processing, and storing large volumes of data.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and translate them into technical solutions.
• Build and optimize data models and schemas for efficient storage and retrieval of data.
• Implement ETL processes to extract, transform, and load data from various sources into data warehouses or data lakes.
• Monitor and troubleshoot data pipelines to ensure data integrity, reliability, and performance.
• Evaluate and implement new technologies and tools to enhance data processing capabilities and improve efficiency.
• Document data pipelines, processes, and solutions to ensure knowledge sharing and maintainability.
• Work closely with infrastructure and DevOps teams to deploy and manage data systems in cloud environments.
• Stay current with industry trends, best practices, and emerging technologies in data engineering and analytics.

Requirements

• Bachelor’s Degree, ideally in Computer Science or Electronics or equivalent work experience in the field of Data.
• Minimum 5 years’ experience in a similar role (7+ preferred, 3-5 preferred for junior role).
• Knowledge of SQL, Python, Azure Data Factor

• Excellent interpersonal, listening, negotiation, presentation skills.
• Strong verbal and written communication skills.
• Keen eye on detail.
• Ability in decision making, problem analysis and problem solving.
• Excellent organizational skills.
• Problem solving attitude.
• Ability to work in fast paced environment.
• Passionate about agile software processes, data driven development, reliability, and experimentation and experience working in a collaborative Agile product team will be considered as extra assets.
• Excellent interpersonal, listening & negotiation skills
• Problem solving attitude
• Fluent Greek and English. Other languages a plus.

Workplace Culture

Our values are the foundation of everything we do. We are driven by results and a relentless pursuit of innovation. We believe in continuous learning, which ensures that both our team and our products remain at the forefront of the fast-paced fintech landscape. We prioritize building trust and are deeply committed to our customers, our team, and the broader society. At snappi, you will thrive in a dynamic workplace where your ideas and contributions will play a pivotal role in shaping the future of banking.

Benefits

Our benefits are thoughtfully designed not only with your well-being in mind but also to support your overall professional and personal growth. They include:

• Competitive Salary: Aligned with your experience and skills.
• Hybrid Work Model: Enjoy the flexibility to work remotely.
• Comprehensive Insurance: Medical and life insurance plans.
• Children's Savings Plan: A dedicated savings plan for your children’s future.
• Employer-Sponsored Pension: Secure your retirement with our pension plan.
• Exclusive Discounts: Special rates on our banking products and services.
• Professional Development: Take advantage of continuous learning opportunities and career advancement support.

We are an equal opportunity employer and values diversity. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status or disability status.