[Hiring] Middle Data Engineer @Sigma Software

Sigma Software; Deutschland; Remote; USD 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading technology company is hiring a remote Middle Data Engineer to join their engineering team. This position involves implementing cloud-based data architecture using Azure, designing data pipelines, and organizing data models. The ideal candidate has experience with data engineering, cloud computing, SQL, and Python, alongside excellent communication skills in English.

Qualifikationen

• Experience in data engineering and cloud computing services, preferably Azure.
• Conceptual knowledge of data analysis fundamentals, ETL, and data governance.
• Excellent communication skills and fluency in business English.

Aufgaben

• Implement architecture based on Azure cloud platforms.
• Design, develop, and maintain data architecture and pipelines.
• Organize disparate data sources into clean data models.

Kenntnisse

Data engineering

Cloud computing solutions

SQL

Python programming

Communication skills

Big Data databases

Tools

Azure

Databricks

Snowflake

BigQuery

Spark

Jobbeschreibung

Jul 26, 2025 - Sigma Software is hiring a remote Middle Data Engineer. Location: Poland.

Company Description

Sigma Software is looking for a motivated Data Engineer to join our expanding engineering team. If you want to work in a close-knit team of Data Engineers solving complex problems using advanced data collection, transformation, analysis, and monitoring, then this opportunity is for you.
We look forward to having you on our team!

CUSTOMER

Our client is a leading medical technology company. The 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 client is innovating sustainably to provide healthcare for everyone, everywhere.

PROJECT

The project’s mission is to enable healthcare providers to increase their value by equipping them with innovative technologies and services in diagnostic and therapeutic imaging, laboratory diagnostics, molecular medicine, and digital health and enterprise services.

Job Description

• Implement architecture based on Azure cloud platforms (Data Factory, Databricks, Event Hub)
• Design, develop, optimize, and maintain squad-specific data architecture and pipelines that adhere to defined ETL and Data Lake principles
• Discover, understand, and organize disparate data sources and structure them into clean data models with clear, understandable schemas
• Contribute to evaluating new tools for analytical data engineering or data science
• Suggest and contribute to training and improvement plans for analytical data engineering skills, standards, and processes

Qualifications

• Experience in data engineering and with cloud computing services solutions in the area of data and analytics, preferably with Azure
• Conceptual knowledge of data analysis fundamentals, e.g., dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data
• Knowledge of SQL and experience with the Python programming language
• Excellent communication skills and fluency in business English
• Understanding Big Data databases, such as Snowflake, BigQuery, etc. Snowflake is preferred
• Experience with database development and data modeling, ideally with Databricks or Spark

Additional Information