Job expired!
is a B2B product in the online payments sector. We are building a fintech ecosystem so that our clients can quickly, safely and profitably accept payments worldwide: from Europe to LATAM, from the USA to Asia. We are part of every company's story we work with, enabling them to quickly and efficiently enter new markets and increase profits. With us, payments are simple.
About us:
— No. 1 employer according to DOU
— 150+ team members
— Offices in 3 countries: Ukraine, Poland, and Cyprus
— 100+ payment methods
— 200+ clients from Ukraine, Europe, and the USA
— PCI DSS Level 1 provider
Our advantages:
— FinTech is a fast-growing industry
— Backend-driven product with complex logics, architecture, and a modern technology stack (Golang, Java, Kotlin, React, TypeScript, PostgreSQL, Elastic, Redis, RabbitMQ, Docker, AWS)
— complex challenges and direct impact of each team member on business growth
— capacity for development and professional growth — there's a "career plan" for everyone
— a team that shares a common goal, vision, and values
Moreover, we provide quick donations for the Ukrainian army! The Solidgate team has created a , thanks to which NGOs and funds can accept payments in any currency in a matter of minutes. We are proud of our partnerships with charities, including and.
We are currently looking for a proactive and detail-oriented Data Engineer to be responsible for data preparation for internal teams and our clients. In this role, you will be working closely with engineers, deepening your expertise in development, and implementing best practices not only from the data engineering world.
So, what will you be doing:
— developing our proprietary solution for transferring data to the Airflow database;
— supporting the data processing system from providers;
— automating the reconciliation process;
— optimizing DWH performance;
— ensuring system stability through test coverage.
What you need to join us:
— at least 1.5 years of experience as a Data Engineer;
— extensive experience in implementing tasks using Python;
— advanced knowledge of SQL;
— experience with Airflow;
— deep understanding of /ELT processes.
It's cool if you have experience:
— working as an analyst or Python developer:
— implementing tasks using Amazon Redshift, DBT, Grafana, Docker;
— writing unit tests;
In the future, you will have the opportunity to deepen your knowledge in data engineering or choose another direction for development — from Kotlin/GO development to Data Science or Machine Learning.
Our corporate benefits:
— health insurance and corporate doctor
— free snacks, breakfasts, and lunches in the office
— professional training (courses, trainings, conferences, certifications)
— performance review twice a year
— compensation of sports/clubs of interest
— competitive salary
— possibility to work remotely
— modern Apple equipment
Want to become part of the team?
Then cast off all doubts and boldly click on "apply for a job" 😉
We are always open to recommendations of talented people!
So if you want to recommend your acquaintance for one of our vacancies — you can do it . In case of successful hiring — we'll thank you with a bonus!
