Senior Data Engineer

4 дней назад

Киев, Киев, Украина Solidgate Полный рабочий день 90 000 $ - 120 000 $ в год

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

Solidgate is part of Endeavor — a global community of the world's most impactful entrepreneurs. We're proud to be the first payment orchestrator from Europe to join — and to share our expertise within a network of outstanding global companies.

Here, we're building a strong engineering culture: designing architectures trusted by global leaders. Our engineers don't just maintain systems — they create them. We believe the payments world is shaped by people who think big, act responsibly, and approach challenges with curiosity and drive. That's exactly the kind of teammate we want on our team.

We're now looking for a Senior Data Engineer who will own the end-to-end construction of our Data Platform. The mission of the role is to build products that allow other teams to quickly launch, scale, and manage their own data-driven solutions independently.

You'll work side-by-side with Artem, Senior Engineering Manager of the Platform stream, and a team of four data enthusiasts to build the architecture that will become the foundation for all our data products.

What you'll own:

— Build the Data Platform from scratch (architecture, design, implementation, scaling)

— Implement a Data Lake approach and Layered Architecture (bronze silver data layers)

— Integrate streaming processing into data engineering practices

— Foster a strong engineering culture with the team and drive best practices in data quality, observability, and reliability

What you need to join us:

— 3+ years of commercial experience as a Data Engineer

— Strong hands-on experience building data solutions in Python

— Confident SQL skills

— Experience with Airflow or similar tools

— Experience building and running DWH (BigQuery / Snowflake / Redshift)

— Expertise in streaming stacks (Kafka / AWS Kinesis)

— Experience with AWS infrastructure: S3, Glue, Athena

— High attention to detail

— Proactive, self-driven mindset

— Continuous-learning mentality

— Strong delivery focus and ownership in a changing environment

Nice to have:

— Background as an analyst or Python developer

— Experience with DBT, Grafana, Docker, LakeHouse approaches

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
  • 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

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