Data Engineer

About us:

Paysera is the first FinTech company in Lithuania and an EU licensed e-money institution. We provide fast, convenient, and affordable financial services globally. Our services range from a payment gateway for e-shops, a finance management app, and money transfers worldwide.

With over 1 million app installs and growing, we aim to become an industry-leading super app that provides financial and lifestyle services across the globe. At Paysera, we are a start-up minded team, which means we thrive in a fast-paced environment and seek open communication while placing great focus on establishing our core company values. Join our vibrant international team of +700 people across +20 different cities worldwide.

We are currently looking for a Data Engineer, who will play a critical role in developing, maintaining, and optimizing data pipelines, ensuring the integrity and reliability of our data across its lifecycle. This position is central to enabling our company to make data-driven decisions, providing essential support for data analysis, reporting, and visualization. This fully remote role offers flexibility and the option to work from our office locations if preferred.

Your key responsibilities:

• Design and construct high-performance data processing systems;
• Maintain and optimize existing data pipelines for efficiency and scalability;
• Implement automated data quality checks to ensure data integrity;
• Manage and enhance data storage solutions, including both relational and NoSQL databases;
• Develop and maintain ETL processes and integrate data from multiple sources;
• Support data analysis, reporting, and visualization with BI dashboards and datasets;
• Actively participate in the architectural council, contributing to the evolution of our data platform;
• Expect to perform routine daily tasks using ChatGPT or a similar tool to enhance efficiency and productivity.

What we’re looking for:

• Knowledge of Python, DBT and ClickHouse SQL is a must;
• Experience with PostgreSQL, MariaDB and MS SQL;
• Familiar with data processing tools like Apache Airflow, Pentaho;
• Familiar with cloud data tools (Matillion, Snowflake, dbt cloud, Azure BLOB storage),
• Expertise in developing dashboards and reports;
• Strong communication skills to articulate data concepts to a varied audience;
• Excellent problem-solving abilities to tackle complex data challenges;
• Collaborative mindset to work effectively within and across teams;
• Adaptability in a fast-paced FinTech environment;
• Strategic thinking to contribute to long-term data initiatives;
• Proven familiarity and experience with AI tools like Cursor, CLINE/RooCode, Windsurf, demonstrating a capability to seamlessly integrate these into daily tasks.

Nice-to-Have:

• Experience as a Data Architect/ Data Modeler.

What we offer:

• Work-life Balance: strive for balance with flexible working hours and hybrid work possibilities.
• Comprehensive Health Care: get covered by additional health insurance with us for your optimal performance and well-being.
• Additional benefits: receive food vouchers for your daily sustenance.
• Continuous Development: participate in regular skill-building workshops and training sessions to excel your personal and professional development.
• Innovation Empowerment: get support and freedom to experiment with various AI tools.
• Professional team: be part of a highly professional vibrant team and engaging workplace culture.
• Office perks: enjoy fresh snacks and regular team-building events.

For candidates:

Only selected candidates will be contacted, but we are grateful to all who send their CV.