Senior Data Engineer – Healthcare Domain

🕒 August 20

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sigma Software Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2002

💼 Consulting

🏥 Healthcare

🚘 Automotive

Consulting • Healthcare • Automotive

Sigma Software Group is a multinational company, established in 2002, that specializes in providing high-quality software development, graphic design, testing, and support services. The company focuses on delivering solutions across various industries such as automotive, telecommunications, aviation, advertising, gaming, banking, real estate, and healthcare. Sigma Software values professional growth, offers remote work opportunities worldwide, and caters to world-renowned clients like AstraZeneca, Scania, and SAS. The company emphasizes a culture of continuous education, mentorship, and flexible work environments, making it a preferred workplace for IT specialists aiming to work on complex solutions utilizing cutting-edge technologies. Sigma Software is committed to innovative solutions and engineering the future while also contributing to social causes such as charitable work in Ukraine.

📋 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

🎯 Requirements

• 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 and Redshift • Experience with stream processing technologies such as Kafka and Spark Structured Streaming • At least an Upper-Intermediate level of English

🏖️ Benefits

• Remote work format • Flexible collaboration across international teams • Supportive environment • Opportunities for professional growth