Senior Data Engineer (AI)

TL;DR

Senior Data Engineer (AI): Building scalable data infrastructures and ML systems for demand planning and budget forecasting with an accent on ETL processes and automated pipelines. Focus on designing high-performance data architectures and integrating Generative AI solutions for e-commerce and retail.

Location: Remote (Work from anywhere)

Company

A dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.

What you will do

• Design and implement ETL processes, optimize queries, and automate data pipelines.
• Collaborate with the team to define goals and deliver custom data solutions for clients.
• Build and maintain scalable, high-performance data architectures.
• Innovate with new tools to improve infrastructure and internal processes.
• Ensure high code quality through reviews, documentation, testing, and CI/CD integration.
• Develop internal tools and assist in tech migrations and model design.

Requirements

• Proven experience in Data Engineering and optimizing data pipelines.
• Strong proficiency in SQL and Python (Pandas, Numpy, Jupyter).
• English: Advanced level (C1) required.
• Experience working with cloud platforms (AWS, GCP, or Azure).
• Basic knowledge of Docker and orchestration tools like Airflow or Prefect.
• Solid familiarity with ETL processes and automation.

Nice to have

• Experience with stream processing tools such as Kafka Streams, Kinesis, or Spark.
• Ability to communicate complex technical concepts through detailed Design Documents.

Culture & Benefits

• Remote-first culture allowing you to work from anywhere.
• Full coverage for certifications in AWS, DBT, Google Cloud, Azure, and Databricks.
• In-company English lessons.
• Wellhub or sports club stipend.
• Food credits via Pedidos Ya.
• Birthday off and an additional vacation week (Mutt Week).
• Annual team getaway (Mutters' Trip) and referral bonuses.