Data Engineer

Level

Senior

Department

Other IT Positions

Type

Full Time

Project

NDA

Locations:

Ukraine

Remote

Job Details

Posted on:

September 24, 2025

Job ID:

About the Company

Established in 2004, ALLSTARSIT was founded with a clear vision: to enhance the landscape of global IT employment by bridging the gap between companies and skilled professionals. The core belief was that assembling a team shouldn't be hindered by geographical constraints. Fast forward to the present day, ALLSTARSIT stands as an international outstaffing service provider committed to change the way businesses recruit, compensate, and oversee top talent worldwide.

With operational hubs scattered across Europe, Asia, and LATAM, and its headquarters situated in San Francisco, US, the company boasts a workforce of over 1,000 adept professionals. Spanning across more than 20 countries, ALLSTARSIT offers a diverse range of skilled employees across various verticals, including AI, cybersecurity, healthcare, fintech, telecom, media, and so on.

About the Project

Our client is hiring a Senior Data Engineer to join their core Data Engineering team. You’ll play a key role in shaping the infrastructure that powers their AI-driven pricing platform used by global retailers.

This is a high-impact, cross-functional role where you’ll take end-to-end ownership from designing scalable infrastructure and writing robust, production-ready code to ensuring the reliability and performance of our systems in production.

Specialization

Headquarters

Years on the market

Team size and structure

Current technology stack

Required skills:

5+ years in Data Engineering or backend data-intensive roles.
Strong Python coding experience (clean, modular, production-grade).
Proficient in SQL, ETL/ELT design, and distributed data processing.
Experience with Airflow, Kafka, S3, Athena, Glue, and CI/CD practices.
Ownership mindset with excellent communication skills.

Nice to Have:

AWS Data Analytics or Big Data certification.
Experience with streaming technologies (Flink, Spark Streaming).
Experience building internal tools, APIs, or SDKs.

Scope of work:

Build and maintain ETL/ELT pipelines from APIs, Kafka, and databases.
Design and manage Airflow DAGs that are modular and observable.
Optimize our data lake architecture on S3 and Athena for performance and scalability.
Develop and support real-time and event-driven data flows using Kafka and Spark.
Implement monitoring, data validation, and alerting to ensure pipeline reliability.
Expose clean and structured datasets for internal consumption via Athena or APIs.
Collaborate with DevOps and the architect to evolve data infrastructure.