Senior Data Engineer

Summary

Join Sunscrapers, a leading software development company, as a Senior Data Engineer in Warsaw or remotely. Contribute to impactful data projects for US-based clients, designing and implementing data pipelines, integrating systems, and building scalable architectures using AWS services, Airflow, and dbt. This role requires significant experience in data engineering, strong technical skills, and a collaborative spirit. Enjoy a competitive compensation package and benefits including flexible working hours, remote work options, and professional development opportunities. Advance your career in a company that values ambition and technical excellence.

Requirements

• At least 5 years of professional experience as a data engineer
• Undergraduate or graduate degree in Computer Science, Engineering, Mathematics, or similar
• Excellent command in spoken and written English, at least C1
• Expertise on AWS stack
• Experience with infrastructure-as-code tools, like Terraform
• Strong professional experience with Python and SQL
• Experience in building data pipelines with Airflow (MWAA would be a plus)
• Hands-on experience with using and managing a data warehouse like Snowflake or Redshift
• DevOps skills to automate deployment and streamline development
• Creative problem-solving skills

Responsibilities

• Building and orchestrating data flows for fetching, aggregation and data modeling using batch pipelines
• Integrating third-party systems and external data sources into data warehouse as well as reverse-ETL into third-party systems
• Modeling datasets and schemes for consistency and easy access
• Design and implement data transformations for machine learning models
• Integrating data with machine learning model training, re-training and deployment

Preferred Qualifications

• Hands on experience with DBT
• Experience with AWS DMS, or other data migration or CDC services
• Strong understanding of various data modeling techniques like Kimball Star Schema
• Experience with production-grade machine learning projects (data prep, building, training, deployment, re-training) especially using AWS Sagemaker
• Great analytical skills and attention to detail - asking questions and proactively searching for answers
• Good understanding of Docker
• Great customer service and troubleshooting skills

Benefits

• Flexible working hours and remote work possibility
• Comfortable office in a penthouse in central Warsaw equipped with all the necessary tools to conquer the universe (Macbook, external screen, ergonomic chairs)
• Fully equipped kitchen with fruit, hot and cold drinks
• Multisport card & Private medical care
• Culture of good feedback: evaluation meetings, mentoring
• We value and appreciate our engineers eagerness to learn and improve so we strongly encourage and support their growth!