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Ukraine, Kyiv, Dnipro
Actively hiring, first seen by us 6 days agoEmployment type Full Time
Employment type in the employer’s posting: full_timeFrom the employer’s posting
Build and own ETL processes and data models for analytics and financial reporting
Move and transform data with SQL, Snowflake, Python, AWS, Fivetran and dbt
Build reports in Sigma and support and extend Looker dashboards
Work closely with Finance, Product and BI stakeholders
Apply testing, automation, SDLC practices and ETL performance tuning
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
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
Actively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 6
Similar jobs usually come down between day 5 and day 54.
From 10,733 similar postings that came down. Coming down is not always a hire.
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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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:
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
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:
• 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:
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Full Time
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Ukraine, Kyiv, Dnipro
- 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. Employment type
No clear work-authorization passage found. Eligibility is unconfirmed.