We're seeking a talented Data Engineer to design and build reliable data pipelines and warehouses for data-heavy products serving clients in the US and Europe. If you're experienced with Python, SQL, modern data warehouses, and orchestration tools and enjoy turning complex datasets into valuable business insights, we'd love to hear from you!
Core Competence:
At least 3 years of professional experience in Data Engineering, with strong Python and SQL skills, including window functions and query performance optimization.
Production experience with modern data warehouses such as Snowflake or BigQuery. Experience with Redshift or Databricks is also relevant.
Hands-on experience with dbt in production projects, including data models, tests, sources, and incremental materializations.
Practical experience with Apache Airflow or similar orchestration tools such as Dagster or Prefect.
Strong understanding of ETL / ELT architecture, including incremental loads, change data capture, slowly changing dimensions, and idempotent pipeline execution.
Experience building and maintaining batch and incremental data pipelines integrating APIs, databases, files, and SaaS platforms.
Proficiency with Git, Docker, and at least one major cloud platform such as AWS, GCP, or Azure.
Preferred Qualifications:
Experience with Apache Spark, PySpark, or Databricks.
Knowledge of streaming technologies such as Kafka, Kinesis, or Pub/Sub.
Familiarity with Fivetran, Airbyte, or Terraform for data infrastructure.
Experience with BI tools such as Power BI, Looker, or QuickSight and data modeling for analytics.
Experience preparing datasets for LLM and RAG applications, including chunking, embeddings, and vector databases.
Upper-intermediate level of English for clear and effective communication with international clients.
What We Offer You:
Competitive compensation aligned with your skills, experience, and career ambitions.
An innovative work environment with opportunities to build production data platforms, scalable pipelines, and analytics solutions for international clients.
Direct communication with clients from the US and Europe and the opportunity to influence data architecture and technical decisions.
Long-term cooperation with opportunities to move between projects and continue growing with the team.
