Data Engineer with BigQuery and Dataform, Analytics Platform

Remote.Bulgaria
Remote.Georgia
Remote.Kazakhstan
Remote.Poland
Алмати
Астана
Белград
Варна
Варшава
Вроцлав
Днепър
Ереван
Киев
Клуж-Напока
Краков
Ларнака
Лвов
Лодз
Люблин
Одеса
Рига
София
Тбилиси
Харков

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Project overview

This project focuses on building a scalable and reliable data platform that powers analytics, reporting, and data driven decision making across the organization. You will help integrate multiple enterprise data sources and ensure consistent, high quality data delivery.

Team

You will work in a cross functional team that includes data engineers, analytics engineers, and business intelligence specialists. The team follows a collaborative approach with shared ownership of data assets and regular communication with stakeholders.

Position overview

We are looking for a Data Engineer to design, build, and maintain scalable data solutions that support analytics and reporting needs. You will contribute to data modeling, pipeline development, and data quality practices while collaborating closely with analytics teams to deliver trusted and accessible datasets.

Responsibilities

Design and develop scalable canonical data models in BigQuery
Build and maintain data transformation workflows using Dataform
Develop and improve the Looker LookML semantic layer for reporting and analytics
Integrate data from Sage 200 and other enterprise systems
Ensure data accuracy, consistency, and quality across pipelines and datasets
Collaborate with analytics teams to deliver accessible and reliable data solutions
Monitor and optimize data workflows for performance and scalability

Requirements

Experience with BigQuery and cloud based data warehousing
Hands on experience with Dataform or similar transformation tools
Strong SQL skills and understanding of data modeling techniques
Experience building and maintaining data pipelines and ETL ELT processes
Familiarity with Looker and LookML or similar semantic layer tools
Experience integrating data from enterprise systems such as Sage 200
Understanding of data quality practices and validation techniques
Ability to collaborate effectively with cross functional teams

Nice to have

Experience with other cloud platforms or data tools
Familiarity with version control systems such as Git
Exposure to data governance and data catalog tools
Experience working in analytics or reporting focused environments

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