Senior Data Engineer

Ukraine, Kyiv, Dnipro

Actively hiring, first seen by us 6 days ago

Pay: Pay not listed
Work setting: Not stated
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

Design, build, and maintain ELT pipelines to move and transform data
Develop and optimize data processing jobs with Spark and Python
Build and support data lake storage and data models on AWS (Athena, Redshift, Apache Iceberg)
Set up and support data ingestion with Fivetran
Ensure data quality, lineage, pipeline reliability and performance

From the employer’s posting

Design, build, and maintain ELT pipelines to move and transform data

Develop and optimize data processing jobs with Spark and Python

Build and support data lake storage and data models on AWS (Athena, Redshift, Apache Iceberg)

Set up and support data ingestion with Fivetran

Ensure data quality and lineage (Glue DQDL, OpenLineage), pipeline reliability, and performance

What you’ll bring

All qualifications

Core experience

Strong experience as a Data Engineer building ELT pipelines
Hands-on experience with AWS data services
Solid Spark and Python skills
Experience with relational databases (MSSQL or similar) and strong SQL
Experience with data lake architectures and Fivetran

Qualification wording

Strong experience as a Data Engineer building ELT pipelines

Hands-on experience with AWS data services

Solid Spark and Python skills

Experience with relational databases (MSSQL or similar) and strong SQL

Experience with data lake architectures

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 10,736 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
Census
Fivetran
Iceberg
Redshift
SageMaker
Airflow

Where the posting names them

About the role You will build and maintain ELT pipelines and a data lake on AWS, working with large data volumes and making sure data is reliable, well-structured, and ready for analytics. Our stack: Spark, Python, Athena, Redshift, Fivetran, Apache Iceberg, Apache Airflow, Census, SageMaker, Glue DQDL, OpenLineage. What You Will Do:

• Design, build, and maintain ELT pipelines to move and transform data • Develop and optimize data processing jobs with Spark and Python • Build and support data lake storage and data models on AWS (Athena, Redshift, Apache Iceberg) • Work with relational databases (MSSQL and similar) as data sources • Set up and support data ingestion with Fivetran • Ensure data quality and lineage (Glue DQDL, OpenLineage), pipeline reliability, and performance • Collaborate with engineers and stakeholders on the project Skills, Knowledge and Expertise:

Skills, Knowledge and Expertise: • Strong experience as a Data Engineer building ELT pipelines • Hands-on experience with AWS data services • Solid Spark and Python skills • Experience with relational databases (MSSQL or similar) and strong SQL • Experience with data lake architectures • Experience with Fivetran • Good written and spoken English Nice to have • Apache Airflow • Apache Iceberg • Experience with Census, SageMaker, Glue DQDL or OpenLineage

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 You will build and maintain ELT pipelines and a data lake on AWS, working with large data volumes and making sure data is reliable, well-structured, and ready for analytics. Our stack: Spark, Python, Athena, Redshift, Fivetran, Apache Iceberg, Apache Airflow, Census, SageMaker, Glue DQDL, OpenLineage.

• Strong experience as a Data Engineer building ELT pipelines • Hands-on experience with AWS data services • Solid Spark and Python skills • Experience with relational databases (MSSQL or similar) and strong SQL • Experience with data lake architectures • Experience with Fivetran • Good written and spoken English Nice to have • Apache Airflow • Apache Iceberg • Experience with Census, SageMaker, Glue DQDL or OpenLineage What you will love about Techery:

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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
You will build and maintain ELT pipelines and a data lake on AWS, working with large data volumes and making sure data is reliable, well-structured, and ready for analytics.

Our stack: Spark, Python, Athena, Redshift, Fivetran, Apache Iceberg,
Apache Airflow, Census, SageMaker, Glue DQDL, OpenLineage.

What You Will Do:

• Design, build, and maintain ELT pipelines to move and transform data

• Develop and optimize data processing jobs with Spark and Python
• Build and support data lake storage and data models on AWS (Athena, Redshift, Apache Iceberg)
• Work with relational databases (MSSQL and similar) as data sources
• Set up and support data ingestion with Fivetran
• Ensure data quality and lineage (Glue DQDL, OpenLineage), pipeline reliability, and performance
• Collaborate with engineers and stakeholders on the project

Skills, Knowledge and Expertise:

• Strong experience as a Data Engineer building ELT pipelines
• Hands-on experience with AWS data services
• Solid Spark and Python skills
• Experience with relational databases (MSSQL or similar) and strong SQL
• Experience with data lake architectures
• Experience with Fivetran
• Good written and spoken English

Nice to have
• Apache Airflow
• Apache Iceberg
• Experience with Census, SageMaker, Glue DQDL or OpenLineage

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

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