Senior Data Engineer Analytics & Data Platforms 17504
Veritaz AB
📍 Sverige
⏰ Heltid
📋 Tidsbegränsad anställning
🗓 Ansök senast 1 juni 2026
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Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.
Assignment Description
We are looking for a Senior Data Engineer
What You Will Work On
Design, build, and maintain scalable and reliable data pipelines
Develop and manage business-critical datasets for analytics and reporting
Optimize data infrastructure for performance, scalability, and maintainability
Architect backend systems handling large-scale data processing
Collaborate with Data Scientists, analysts, and stakeholders to translate business needs into data models
Drive improvements in data architecture, workflows, and engineering practices
Establish and promote best practices for testing, quality, and maintainability
Support and lead initiatives related to metrics, reporting, and analytics tools
Mentor and guide junior Data Engineers
What You Bring
Extensive hands-on experience designing and building scalable data pipelines
Strong experience with technologies such as Scala, SQL, dbt, and GCP (or similar)
Proven ability to architect backend systems for large data volumes
Deep understanding of cloud-based data infrastructure
Ability to translate complex business requirements into structured data solutions
Strong collaboration skills in cross-functional teams
Experience driving code quality, testing practices, and maintainability
Excellent communication skills with ability to influence and guide stakeholders
Experience mentoring or supporting other engineers
Assignment Description
We are looking for a Senior Data Engineer
What You Will Work On
Design, build, and maintain scalable and reliable data pipelines
Develop and manage business-critical datasets for analytics and reporting
Optimize data infrastructure for performance, scalability, and maintainability
Architect backend systems handling large-scale data processing
Collaborate with Data Scientists, analysts, and stakeholders to translate business needs into data models
Drive improvements in data architecture, workflows, and engineering practices
Establish and promote best practices for testing, quality, and maintainability
Support and lead initiatives related to metrics, reporting, and analytics tools
Mentor and guide junior Data Engineers
What You Bring
Extensive hands-on experience designing and building scalable data pipelines
Strong experience with technologies such as Scala, SQL, dbt, and GCP (or similar)
Proven ability to architect backend systems for large data volumes
Deep understanding of cloud-based data infrastructure
Ability to translate complex business requirements into structured data solutions
Strong collaboration skills in cross-functional teams
Experience driving code quality, testing practices, and maintainability
Excellent communication skills with ability to influence and guide stakeholders
Experience mentoring or supporting other engineers