Data Engineer (Databricks)

Quick Facts

• Role: Data Engineer (Databricks)

Description

You will design and build scalable data processing pipelines for both streaming and batch workloads using Big Data technologies such as Databricks, Airflow, and/or Dagster. You’ll develop and organize data transformations with Databricks/DBT and Airflow, translate business requirements into technical solutions, and collaborate with Data Science on ML projects. The role also includes contributing to CI/CD and MLOps processes and building applications to aggregate, process, and analyze data from diverse sources.

Responsibilities

• Design scalable data processing pipelines for streaming and batch processing
• Contribute to CI/CD and MLOps processes
• Develop applications to aggregate, process, and analyze data from diverse sources
• Collaborate with Data Science on ML (text/image analysis and predictive models)
• Develop and organize data transformations using Databricks/DBT and Apache Airflow
• Translate business requirements into technical solutions ensuring performance and data quality

Benefits

• Work with a supportive AI & Big Data team on international projects for global enterprises and startups
• Flexible work arrangements (remote or modern offices/coworking spaces)
• Career paths, knowledge sharing, language classes, and sponsored training/conferences (including Databricks and Anthropic training/certifications)
• Team-building events and integration budget
• Medical and sports packages, eye care, well-being support including psychotherapy and coaching
• Full work equipment (laptop and necessary devices)
• Opportunities to boost your personal brand (speaking, blogging, meetups)
• Smooth onboarding with a dedicated buddy and an autonomous, friendly culture