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Senior Data Engineer – Python, Spark, AWS
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Senior Data Engineer – Python, Spark, AWS

Warszawa
9 559 - 10 925 USD/monthNet per month - B2B
9 559 - 10 925 USD/monthNet per month - B2B
Type of work
Full-time
Experience
Senior
Employment Type
B2B
Operating mode
Hybrid
Link Group

Link Group

Hundreds of IT opportunities are waiting for you—let’s make it happen! Since 2016, our team of tech enthusiasts has been building exceptional IT teams for Fortune 500 companies and startups worldwide. Join impactful projects in BFSI, CPG, Industrial, and Life Sciences & Healthcare industries. Work with cutting-edge technologies like Cloud, Business Intelligence, Data, and SAP. Unlock your potential, grow your skills, and collaborate with top global clients. Ready for your next big career move? Let’s link with us!

Tech stack

    Python

    advanced

    AWS

    advanced

    MongoDB

    regular

    Spark

    regular

    Delta Lake

    regular

Job description

Senior Data Engineer – Python, Spark, AWS


We’re looking for a Senior Data Engineer to join a highly skilled team responsible for building a scalable, multitenant data platform that powers data ingestion, transformation, cataloging, and distribution for internal and external stakeholders. This role is central to designing robust data pipelines, integrating modern data lakehouse components, and supporting the company’s AWS-based infrastructure.


🔧 What You’ll Do:

  • Design and build scalable data ingestion pipelines in AWS
  • Work extensively with Databricks, including Unity Catalog, streaming, Delta Lake, and data transformation tools
  • Lead technical delivery and implementation of core platform components across raw, normalized, operational, and historical layers
  • Collaborate with engineering managers and cross-functional teams across the US and Poland
  • Drive technical excellence by improving team processes, architecture standards, and engineering best practices
  • Support and consult with stakeholders to ensure successful delivery of data-driven solutions
  • Contribute to the growth and maturity of the team’s cloud and data engineering capabilities


✅ What We’re Looking For:

  • 5+ years of experience in Python and strong software engineering skills
  • Solid knowledge of AWS cloud services and best practices
  • Experience building scalable Spark pipelines in PySpark or Scala
  • Practical experience with Spark Streaming for low-latency pipelines
  • Familiarity with Delta Lake and modern data lakehouse architectures
  • Hands-on experience with Kubernetes and container orchestration
  • Experience with MongoDB and other NoSQL data stores
  • Understanding of microservices and event-driven architecture
  • Excellent communication skills and ability to work in a collaborative, global team
  • Commitment to high standards of ethics, quality, and delivery


🌟 Nice to Have:

  • Familiarity with Machine Learning, AI models, or Data Science workflows
9 559 - 10 925 USD/month

Net per month - B2B