Senior Data Engineer (Python, AWS)

TL;DR

Senior Data Engineer (Python, AWS): Designing, building, and scaling robust data pipelines for collecting, transforming, and structuring large volumes of legal and financial data with an accent on AI-driven enrichment and real-time data processing. Focus on developing and optimizing ETL/ELT workflows using Python, Apache Spark, and SQL, and orchestrating scalable data workloads on AWS.

Location: Remote work available from Bulgaria, Georgia, Kazakhstan, Poland, Serbia, Romania, Ukraine, Cyprus, Latvia, Armenia, and specific cities within Eastern Europe and CIS (Almaty, Astana, Belgrade, Cluj-Napoca, Dnipro, Kharkiv, Krakow, Kyiv, Larnaca, Lodz, Lublin, Lviv, Odesa, Riga, Sofia, Tbilisi, Varna, Warsaw, Wroclaw, Yerevan)

Company

Our client is a leading legal recruiting company building a data-driven platform designed for lawyers and law firms, aggregating data from hundreds of public sources to create a unified ecosystem of structured and interconnected legal data.

What you will do

• Design and implement data ingestion pipelines to collect and process structured and unstructured data from multiple online sources.
• Develop and optimize ETL/ELT workflows using Python, Apache Spark, and SQL.
• Build and orchestrate scalable data workflows leveraging AWS services such as EMR, Batch, S3, and SageMaker.
• Develop and deploy internal data APIs and utilities supporting platform data access and manipulation.
• Implement robust text extraction and parsing logic to handle diverse data formats.
• Ensure data quality through validation, deduplication, normalization, and lineage tracking across data layers.

Requirements

• Proven expertise in Python programming.
• Solid understanding of the AWS ecosystem.
• Practical experience with Docker and containerized development workflows.
• Experience with web scraping, text extraction, or other data ingestion techniques from diverse online sources.
• Strong analytical mindset, communication skills, and ability to collaborate across multiple teams.

Nice to have

• Hands-on experience with Apache Spark and SQL for distributed data processing.
• Experience with EMR, SageMaker.

Culture & Benefits

• Vacation as per the laws of your country, with encouragement for proper rest.
• Health insurance support for you and your loved ones.
• 10 days sick pay without a doctor's note.
• Time off for state holidays, regardless of the client’s schedule.
• Pleasant environment with corporate parties and get-togethers.
• Comfort service for technical and everyday problems at work.
• Opportunity to work on global projects, grow your career in a supportive, flexible, and innovative tech environment.
• Help to cover the cost of IT certifications and provide access to top-tier courses and learning platforms.