Java Engineer – Data Pipelines & Google Cloud Platform
SwedQ AB · Stockholm
posted 3d ago, verified live
Key factors at a glance
- Seniority
- Mid
- Experience
- —
- Work mode
- Hybrid
- Salary
- Not stated
- Required working language
- English, Swedish
Must-haves
- Solid Java and production-grade backend development experience
- Kafka and event-driven/data integration experience
- Google Cloud Platform proficiency
- Infrastructure as code (Terraform)
- Docker and CI/CD practices
- SQL and relational databases
- Automated testing
- Structured data handling (JSON)
- Problem-solving and cross-functional collaboration
- Fluency in English and Swedish
Nice-to-haves
- Apache Beam/Dataflow
- BigQuery
- Cloud security
- Sensitive data handling
- GDPR-aware data pipelines
- Kafka Schema Registry
- Azure Blob Storage
- Parquet and Big Data technologies
- Reusable Terraform modules
- Container registries
- Data masking or encryption
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Original posting
EnglishSwedQ is a consultancy company that has lately proven to have a unique model for those who want to grow, create a legacy, and take on challenges that both add and gain value. We are looking for someone who wants to be part of the company in a literal sense. That means taking on the technical challenges as well as getting a portion of the company in the future. What's in it for you? SwedQ offers flexible compensation structures tailored to individual preferences, ranging from fixed salaries with benefits to equity ownership opportunities. We help you find your ideal work arrangement, whether within the organization or at client sites. Key Requirements Solid experience with Java and production-grade backend development Kafka and event-driven / data integration experience Google Cloud Platform proficiency, particularly data processing and storage services Infrastructure as code, preferably Terraform Docker and modern CI/CD practices SQL and relational databases Automated testing Working with structured data such as JSON Experience with Apache Beam/Dataflow, BigQuery, cloud security, and handling sensitive data is highly valuable Problem-solving capabilities and cross-functional collaboration abilities Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences Fluency in both English and Swedish Nice to have GDPR-aware data pipelines Kafka Schema Registry Azure Blob Storage Parquet or other Big Data technologies Reusable Terraform modules Container registries Data masking or encryption Perks & Benefits Competitive, flexible salary structure Health/gym budget Developer budget Pension contributions Private healthcare City office location Daily breakfast Company car or allowance Lifestyle perks (cleaning, childcare support) Location: Stockholm City Department: Software Engineering
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