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Sigma Software

Senior Data Engineer (Healthcare domain)

Sigma Software Warsaw, Masovian Voivodeship, Poland

Software Development · 1,001-5,000 employees

Sep 10
Remote data-engineer Senior (5-10 yrs) Full-time Poland
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About the role

The Senior Data Engineer will design and maintain large-scale cloud data infrastructure and efficient pipelines for healthcare applications. They will collaborate with product owners to build self-service tools and microservices while ensuring seamless data integration and performance optimization.

What they look for

Python PySpark Azure Snowflake Databricks Docker Kubernetes Terraform SQL Data Engineering Cloud Infrastructure ETL Data Modeling Data Governance Kafka Spark Structured Streaming

Requirements

Candidates must have hands-on experience with cloud computing, data modeling, and distributed data processing using Python and PySpark. Proficiency in Azure, Snowflake, Databricks, Docker, Kubernetes, and infrastructure as code tools like Terraform is required.

Full description

Company Description

Are you passionate about building large-scale cloud data infrastructure that makes a real difference? We are looking for a Senior Data Engineer to join our team and work on an impactful healthcare technology project. This role offers a remote work format with the flexibility to collaborate across international teams.

At Sigma Software, we deliver innovative IT solutions to global clients in multiple industries, and we take pride in projects that improve lives. Joining us means working with cutting-edge technologies, contributing to meaningful initiatives, and growing in a supportive environment.

CUSTOMER

Our client is a leading medical technology company. Its portfolio of products, services, and solutions is at the center of clinical decision-making and treatment pathways. Patient-centered innovation has always been, and will always be, at the core of the company. The client is committed to improving patient outcomes and experiences, regardless of where patients live or what they face. The Customer is innovating sustainably to provide healthcare for everyone, everywhere. 

PROJECT

The project focuses on building and maintaining large-scale cloud-based data infrastructure for healthcare applications. It involves designing efficient data pipelines, creating self-service tools, and implementing microservices to simplify complex processes. The work will directly impact how healthcare providers access, process, and analyze critical medical data, ultimately improving patient care.

Job Description

  • Collaborate with the Product Owner and team leads to define and design efficient pipelines and data schemas
  • Build and maintain infrastructure using Terraform for cloud platforms
  • Design and implement large-scale cloud data infrastructure, self-service tooling, and microservices
  • Work with large datasets to optimize performance and ensure seamless data integration
  • Develop and maintain squad-specific data architectures and pipelines following ETL and Data Lake principles
  • Discover, analyze, and organize disparate data sources into clean, understandable schemas

Qualifications

  • Hands-on experience with cloud computing services in data and analytics
  • Experience with data modeling, reporting tools, data governance, and data warehousing
  • Proficiency in Python and PySpark for distributed data processing
  • Experience with Azure, Snowflake, and Databricks
  • Experience with Docker and Kubernetes
  • Knowledge of infrastructure as code (Terraform)
  • Advanced SQL skills and familiarity with big data databases such as Snowflake, Redshift, etc.
  • Experience with stream processing technologies such as Kafka, Spark Structured Streaming
  • At least an Upper-Intermediate level of English

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