Senior Data Engineer @ Pragmile (práce v Polsku)

Senior Data Engineer @ Pragmile

What We’re Looking For:

• Proven experience in data engineering, with a focus on backend development, cloud, or large-scale data processing.
• A solution-driven mindset and enthusiasm for a fast-paced, dynamic environment.
• A proactive, team-oriented approach with a growth-focused perspective.
• English Proficiency: Minimum B2 level in English to facilitate communication within our international team.

Our Work Style:

• Startup Mentality: Our agile teams are empowered to make a difference with open communication and an impact-driven approach.
• Transparent Collaboration: Using tools like Slack and generative AI, we ensure efficiency, adaptability, and teamwork.
• Growth-Driven: Our culture encourages continuous learning, helping you push beyond your comfort zone.
• Hybrid Work Model: Initially, work is hybrid—3 days a week in our Warsaw office, fostering a balance between collaboration and flexibility.

Are you a skilled data engineer ready to shape the future of fintech? Join us as we build a Tech Hub in Warsaw for a global leader in online deferred payments, a rapidly growing startup transforming shopping and payment experiences for millions worldwide.

Why Work with Us?

• Innovative Technology: Use the latest tech to tackle real-world challenges and redefine the future of payments.
• Global Reach: Your work will impact millions, enhancing seamless shopping and payment journeys across the globe.
• Career Growth: Were driven by talent and ambition, offering opportunities for those ready to take on meaningful challenges.
• Collaborative Culture: Collaborate with exceptional minds in an environment that values creativity, innovation, and teamwork.

Key Requirements:

• Core Language: Proficiency in SQL, PySpark, and Python for building scalable data pipelines and transformations.
• Framework Knowledge: Experience with Apache Airflow, AWS Glue, Kafka, and Redshift.
  
  • Nice to Have: Experience handling large structured and semi-structured data.
  
  
• Tools: Proficiency in Git for version control and Airflow for ETL/ELT pipelines.
  
  • Nice to Have: Knowledge of DBT.
  
  
• Cloud and DevOps: Experience with AWS stack, including Lambda, S3, CloudWatch, SNS/SQS, and Kinesis.
• Infrastructure Automation: Proficiency in Terraform and Ansible for infrastructure management.
• Debugging & Testing: Skills in monitoring and maintaining ETL pipelines to ensure performance and reliability.
• CI/CD Experience: Knowledge in continuous integration for automating testing, deployment, and versioning.
• System Design Focus: Expertise in designing distributed systems that scale horizontally for large data volumes.
  
  • Nice to Have: Knowledge of real-time (Lambda) and batch (Kappa) processing architectures.
  
  
• Web Services & APIs:
  
  • Nice to Have: Experience in building APIs for data exchange (REST, GraphQL, OpenAPI, FastAPI).
  
  
• Additional Skills:
  
  • Nice to Have: Experience with Data Mesh principles, self-service tools for scalable data platforms, and data pipeline development.
  
  

If you’re a Senior Data Engineer eager to drive innovation and make a tangible impact in the fintech space, we’d love to hear from you. Apply today and join a team that values expertise, passion, and forward-thinking solutions. Help us shape the future of tech in Poland!

Kategorie

data

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