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.

As our processing volume is skyrocketing, the number of engineering teams is growing too — we’re already at 14. This gives our Data Engineering function a whole new scale of challenges: not just building data-driven solutions, but creating products and infrastructure that empowers other teams to build them autonomously.

That’s why we’re launching the Data Platform direction and looking for a Tech Lead for the Data Engineering team — someone who’ll become the technical driver of the function and build a platform that provides every Solidgate team with scalable, reliable and frictionless access to data.

You’ll work side-by-side with Artem, Senior Engineering Manager of the Platform stream, and take on the technical leadership of a four-person team of data enthusiasts — with the mandate to scale the team further.

What you’ll own:
— Build the Data Platform from scratch (architecture, design, implementation, scaling)
— Introduce a Data Lake approach and Layered Architecture (bronze → silver data layers)
— Integrate streaming processing into our data engineering practices
— People & tech leadership: coach the DE team and grow the engineering culture
— Drive best-in-class practices in data quality, observability and reliability
— Collaborate closely with Engineering, Product, and Ops teams

What you need to join:
— 5+ years in Data Engineering (1–2 years as a Tech Lead / Team Lead)
— 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 stack: S3, Glue, Athena
— High attention to detail
— Proactive, self-driven mindset
— Continuous-learning mentality
— Strong delivery focus and ownership in a changing environment
— Confident leadership skills with a passion for people management

Nice to have:
— Background as a data 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!