[C3T] Data Engineer

Company Description

Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.

Job Description

Project – the aim you’ll have

The Data Engineer will be responsible for building, maintaining, and optimizing the data pipelines and architectures that power International SOS's mission-critical analytics and operational platforms. This role is instrumental in transforming raw data into structured, reliable, and scalable formats for analysis and decision-making across the organization.

Position – how you’ll contribute

• Design, construct, install, and maintain scalable and robust data pipelines
• Integrate data from a wide variety of sources, both structured and unstructured
• Optimize data delivery and re-design infrastructure for greater scalability and performance
• Collaborate with data scientists, business analysts, and product managers to deliver data solutions aligned with business needs
• Develop and maintain data models, databases, and ETL processes
• Ensure data quality, reliability, and integrity across systems
• Participate in data architecture and design reviews
• Assist in implementing data governance and data security best practices
• Monitor and troubleshoot data pipeline issues and performance bottlenecks

Qualifications

Expectations – the experience you need

• 6+ years of professional experience in data engineering or similar roles
• Proficiency in SQL and experience with relational and NoSQL databases
• Strong programming skills in Python, Scala, or Java
• Experience with big data tools such as Spark, Hadoop, Kafka
• Familiarity with cloud data platforms (AWS, Azure, GCP)
• Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow, DBT)
• Knowledge of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery)
• Understanding of data privacy regulations and security standards
• Strong problem-solving and communication skills

Additional Information

Our offer – professional development, personal growth:

• Flexible employment and remote work  
• International projects with leading global clients 
• International business trips  
• Non-corporate atmosphere 
• Language classes 
• Internal & external training 
• Private healthcare and insurance  
• Multisport card 
• Well-being initiatives 

Position at: Software Mind Poland