Data Engineer (Junior/Middle)

Solidgate is a payment processing and orchestration platform that helps thousands of businesses to accept payments online. We develop cutting-edge fintech solutions to facilitate seamless payment processing for merchants across 150+ countries, spanning Europe to LATAM, the USA to Asia. We are proud to be a part of the history of every company we work with — our infrastructure gives a quick scale to new markets and maximizes revenue.

Key facts:

• Offices in Ukraine, Poland, Cyprus
• 200+ team members
• 200+ clients went global (Ukraine, US, EU)
• Visa and Mastercard Principal Membership
• EMI licence in the EU

Our advantages:

• Fintech — fast-growing industry
• the opportunity to do business with large Western tech companies (USA, Europe)
• challenges and direct impact on business scaling, on product metrics — here, you can propose and implement
• team united by a common goal, vision, and values
• opportunity for development and growth, personal career plan for each employee

We’re currently looking for a proactive and detail-oriented Data Engineer to join our team.

In this role, you won’t just be building data pipelines — you’ll play a key role in shaping a scalable data infrastructure that drives our product forward. You’ll also work closely with experienced engineers across the team, giving you the chance to deepen your expertise in software development and bring best practices to life beyond the data engineering space.

What challenges await you:

💻 Designing and maintaining scalable data infrastructure to ensure reliable and uninterrupted data delivery.
📐 Building robust data pipelines that ingest data from third-party providers, including validating data in a production environment.
📊 Contributing to the development of our client-facing reporting service, empowering users with the insights they need to make informed decisions.
🚀 Optimizing the performance of our data platform, with a strong focus on our analytical data warehouse (DWH).
🛠️ Driving engineering culture by testing data pipelines, ensuring data quality, and building fault-tolerant systems across every stage of data processing.

Our expectations from the candidate:

• at least 1.5 years of experience as a Data Engineer;
• extensive experience in solving tasks using Python;
• high proficiency in SQL;
• experience working with Airflow;
• deep understanding of ETL/ELT processes.

Will be an advantage — experience:

• working as a Data Analyst or Python developer;
• solving tasks using Amazon Redshift, DBT, Grafana, Docker;
• writing unit tests.

Competitive corporate benefits:

• more than 30 days off during the year (20 working days of vacation + days off for national holidays)
• health insurance and corporate doctor
  
• free snacks, breakfasts, and lunches in the office
• full coverage of professional training (courses, conferences, certifications)
• yearly performance review
• sports compensation
• competitive salary
• the ability to work remotely
• Apple equipment

📩 Ready to become a part of the team? Then cast aside all doubts and click "apply".

➡️ We are always open to recommendations of talented individuals!

If you want to recommend someone for one of our vacancies, you can do it here. In case of a successful hire, we'll provide you with a bonus!