đ June 12
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⢠Design and develop scalable, cloud-native data architectures in BigQuery, ensuring optimal performance, maintainability, and cost efficiency ⢠Build, automate, and maintain ETL/ELT pipelines using modern data stack tools and custom solutions ⢠Create and optimize business-critical data marts, aggregations, and analytical datasets for reporting, dashboarding, and product insights ⢠Implement data quality frameworks, monitoring systems, logging, and alerting mechanisms to ensure data reliability ⢠Continuously improve performance, scalability, and cost efficiency of production data infrastructure ⢠Partner closely with Data Science teams to build reliable data services, infrastructure, and pipelines supporting machine learning and advanced analytics initiatives ⢠Collaborate with product, analytics, and engineering teams to define and deliver scalable data solutions across the organization
⢠3+ years of experience as a Data Engineer working with large-scale data platforms and high-volume datasets ⢠Strong expertise in data modeling, data warehousing concepts, and analytical data architecture design ⢠Proven experience designing and developing complex ETL/ELT workflows following BI and data engineering best practices ⢠Hands-on experience with BigQuery, including partitioning, clustering, query optimization, and cost management ⢠Strong SQL skills with the ability to write and optimize complex analytical queries using Google SQL ⢠Proficiency in Python and data processing libraries such as Pandas and PySpark ⢠Experience working with ClickHouse, including architecture understanding, performance optimization, and migration approaches ⢠Solid knowledge of Google Cloud Platform services, including Cloud Storage, Pub/Sub, DataForm, IAM, and service accounts ⢠Experience with Git, CI/CD practices, automated deployments, and environment management for data workflows ⢠Strong understanding of monitoring, logging, data validation, and production-grade data quality practices ⢠Excellent analytical thinking, problem-solving skills, and ability to work independently in a fast-paced environment ⢠Strong communication and collaboration skills with both technical and non-technical stakeholders ⢠Understanding of product metrics, experimentation frameworks, and data-driven decision making ⢠2+ years of previous Software Engineering experience ⢠Experience optimizing storage and compute resources to improve infrastructure efficiency and reduce operational costs ⢠Experience integrating data platforms with BI tools such as Tableau or Looker
⢠20 paid vacation days, 15 sick days, and 6 additional days off for family events ⢠Up to 10 additional days off for public holidays ⢠100% medical insurance coverage ⢠Sports and equipment reimbursement ⢠Team building events, corporate gifts, and stylish merch ⢠Maternity Recovery Support Allowance ⢠Financial and legal support ⢠Position retention and support for those who join the Armed Forces of Ukraine ⢠Participation in social initiatives supporting Ukraine ⢠Work from our Kyiv hub or remotely with a flexible schedule ⢠Modern equipment or depreciation of your own tools ⢠Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche ⢠Performance-oriented reviews and Individual Development Plans (IDPs) ⢠Reimbursement for professional courses and English classes ⢠Corporate library, book club, and knowledge-sharing events
Apply Nowđ June 9
Senior Data Engineer designing, building, and optimizing cloud-based data platforms at Valtech. Collaborating with data scientists and ML engineers to support analytics and AI systems.
Airflow
Apache
AWS
Azure
Cloud
Google Cloud Platform
Python
Spark
SQL
đ November 4, 2025
Data Engineer role at Intetics Inc. focusing on designing Apache Airflow pipelines and optimizing large-scale ETL workflows. Collaborating with cross-functional teams on data processes and solutions.
Airflow
Apache
ElasticSearch
ETL
Flask
Linux
Oracle
Postgres
Python
Unix