Data Engineer
Software Mind
AirflowAmazon RedshiftApacheAWSAzureBigQueryCloudETLGoogle Cloud PlatformHadoopJavaKafka+5 more
Lead Data Engineer
Software Mind
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇵🇱 Poland
Visit company websiteJob Level
Senior
Tech Stack
AirflowAmazon RedshiftApacheAWSBigQueryCloudDynamoDBETLHadoopJavaKafka.NETNoSQLNumpyPandasPostgresPythonScalaScikit-LearnSparkSQL
About the role
- The Lead Data Engineer will be responsible for architecting, building, and optimizing the data pipelines and infrastructure that power International SOS's mission-critical analytics and operational platforms
- 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
Requirements
- A bachelor’s degree in computer science, data science, software engineering, information systems, or related quantitative field; master’s degree preferred
- At least eight years of work experience in data management disciplines, including data integration, modeling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks
- 8+ years of hands-on experience in data engineering or related roles, with a strong foundation in building scalable data solutions
- Proficient in designing and orchestrating ETL/ELT pipelines across structured and unstructured data sources using tools like AWS Glue, Apache Airflow and DBT
- Deep expertise in big data technologies such as Apache Spark, Kafka, Hadoop, and EMR
- Strong programming skills in Python, Scala, Java, and familiarity with .NET as needed
- Skilled in working with relational (SQL, Postgres) and NoSQL (DynamoDB) databases
- Proven experience with cloud platforms including AWS (S3, Lambda, Redshift, Glue, Step Functions)
- Hands-on knowledge of modern data warehousing solutions such as Redshift, BigQuery, and Teradata
- Solid understanding of data privacy regulations (e.g., GDPR, HIPAA) and security best practices
- Experience implementing data governance frameworks, metadata management, and data quality controls
- Ability to design and deploy data solutions that support AI/ML, business intelligence, and advanced analytics use cases
- Familiarity with data science tools visualization as MS Fabric, Power BI and Excel
- Strong problem-solving and debugging skills, with the ability to identify and resolve performance bottlenecks in complex systems
- Familiarity with data science tools and libraries such as Pandas, NumPy, Scikit-learn, Jupyter, and R
- Experience working in agile environments and cross-functional teams
- Excellent interpersonal and communication skills; able to work effectively across technical and non-technical teams
- Capable of translating business requirements into technical solutions and vice versa, bridging gaps between executives, analysts, and engineering teams
- Demonstrated ability to influence senior stakeholders and contribute to strategic data initiatives
Benefits
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringETLdata modelingdata integrationdata optimizationdata qualitybig data technologiesprogramming in Pythonprogramming in Scalaprogramming in Java
Soft skills
problem-solvingcommunicationcollaborationinterpersonal skillsinfluencing stakeholderstranslating business requirementsdebugging skillsworking in agile environmentscross-functional teamworkdesigning data solutions
