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Location
Hybrid (Kyiv, Ukraine)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Oct 27, 2026.

Overview
Company
Impact
Profile match
See how Techery helps enterprises add revenue, modernize legacy systems & build real AI strategies. Our transformations begin with a System Study.

Since 2013, Techery has been bridging the gap between business vision and technology. As a product and consulting company, we focus on building our own products that are both technologically advanced and tailored to meet real-world needs. Every product we create delivers tangible value and drives business growth. Innovation is at our core, and we are increasingly leveraging the power of AI to develop cutting-edge features and explore new possibilities within our product portfolio.

Beyond our product development, we act as a consulting software company for non-tech clients and are in full charge of solving their challenges. Whether it’s addressing complex issues or turning innovation into reality, our commitment ensures that the best visions are fully realized, providing clients with comprehensive solutions that drive success.

About the role

Our team is looking for a Data Engineer. You will build and own the ETL processes and data models behind analytics and financial reporting, keeping reporting reliable and accurate as data needs grow.

The focus is on streamlining the data and reporting layers rather than building full-stack apps or backends. The work is SQL-heavy, with deep domain involvement and close collaboration with Finance, Product and BI stakeholders.

What You Will Do:

  • Build and own the ETL processes and data models behind analytics and financial reporting
  • Move and transform data day to day with SQL, Snowflake, Python, AWS, Fivetran and dbt
  • Build reports in Sigma
  • Support the existing Looker dashboards and build new ones as needed
  • Work closely with stakeholders in Finance, Product and BI
  • Apply strong engineering practices to the data space: operational maturity, SDLC requirements, automation, testing and ETL performance

Skills, Knowledge and Expertise:

  • Strong SQL proficiency
  • Solid grounding in data warehouse design
  • Familiarity with the team’s stack: Python, AWS, dbt and Fivetran
  • Experience building reports and dashboards in BI tools (Sigma, Looker)
  • Comfortable working deep in a business domain and partnering with Finance, Product and BI
  • Brings engineering discipline to data work: testing, automation, SDLC and pipeline performance

Nice to have

  • Snowflake experience
  • Financial or accounting data experience, especially modelling transactions, payments, contract logic and tax calculations

What you will love about Techery:

  • Our technology-driven mindset - we leverage AI and innovative tools to meet our business needs and stay ahead in a rapidly evolving landscape;
  • Your growth matters - we offer compensated learning opportunities and an environment that fosters development. You decide your path, and we provide the tools and tasks to help you reach your goals;
  • Transparent communication - is fundamental at every level and in all aspects of our work. We prioritize honesty and ensure that open dialogue is expected in everything we do. This clarity and openness are essential for continuous improvement and collective success;
  • Our team of like-minded people - work alongside individuals who are not only skilled like yourself but also passionate about their craft and career. We are truly interested in what we do and we don’t stand still. Everyone is expected to take initiative and build impactful things;
  • Work-life integration - it isn’t about finding a 'perfect' balance; it’s about finding a balance that works for you to succeed in various aspects of your life, both professionally and personally. We value a well-rounded life and offer flexibility through our unlimited vacation policy!

In the cities where we have offices (Kyiv, Dnipro), we have a mandatory hybrid work format - 3 days in the office and 2 days remotely.

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