Back to SearchSenior Data Software Engineer/ AWS, Databricks, PySpark
Remote in Türkiye
Data Software Engineering
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We are looking for a Senior Data Software Engineer to join a team that builds and maintains data infrastructure and platform tooling for a large engineering organization. The work spans cross-region data exchange solutions, Databricks-based data sharing infrastructure, and backend integrations used daily by engineers across multiple regions.
Responsibilities
- Design and implement solutions for cross-region data exchange in environments with strict regulatory and security requirements
- Build and maintain scalable backend services and integrations using Python
- Develop and support data pipelines using PySpark and Apache Airflow (MWAA)
- Deploy and manage Databricks environments on AWS via reusable Terraform modules
- Establish and maintain Delta Sharing for secure data sharing between Databricks accounts
- Create microservices and platform tooling that enable collaboration across distributed engineering teams
- Contribute to platform initiatives used by engineers globally
- Collaborate with cross-functional stakeholders spanning multiple geographies and business units
Requirements
- 3+ years of experience in Data Software Engineering
- Strong backend engineering experience in Python, including async patterns, clean code, and testing with pytest
- Working knowledge of AWS services such as IAM, S3, and DynamoDB
- Familiarity with Kubernetes on AWS, CodeArtifact, and MWAA
- Hands-on proficiency in Databricks and PySpark for data pipeline development and platform management
- Background in designing and building microservices architecture and distributed systems
- Skills in Infrastructure as Code using Terraform or equivalent
- Understanding of data security and privacy principles, including GDPR
- Ownership — proactive accountability for deliverables end-to-end
- Team player — respectful communication and shared responsibility for team outcomes
- Organisational skills — self-directed and able to manage workload in a distributed team
- Engineering mastery — commitment to quality, best practices, and continuous improvement
- English level B2+, with the ability to communicate fluently with English-speaking stakeholders and share technical reasoning clearly
Nice to have
- Expertise in Delta tables and Delta Sharing
- Competency in data modeling and extensible schema design