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Data Engineer

Pay
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Work setting
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Employment
Full-time — employment source
Employment type Full Time
Employment type in the employer’s posting: full_time
From the employer’s posting

What you’ll work on

Full 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

From the employer’s posting
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
Apply at Techery

Posting record

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Actively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 28, 20266 days ago
Recorded sightings
8
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

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.

Techery is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • dbt
  • Fivetran
  • Looker
  • Sigma
  • Snowflake
Where the posting names them
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:

Your next step

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About the role

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.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

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.

Employment type

Full Time

Source details

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Location & working pattern

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
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