Arbetsbeskrivning

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in securing 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 to join our dynamic team.

What you will work on:

• Designing and implementing a modern, real-time data pipeline in Azure/Microsoft Fabric, including API ingestion, Eventstream processing, KQL-based storage and analysis, and Kafka event publishing
• Taking end-to-end responsibility for architecture, implementation, operability, security, testing and documentation
• Building resilient API integrations with strong focus on robustness, idempotence, error handling and performance
• Ensuring high data quality in streaming environments through ordering, deduplication and real-time validation
• Collaborating closely with product owners, architects, developers, security and domain experts to deliver scalable, observable and secure solutions
• Establishing common engineering practices and strengthening team capabilities through workshops, pair programming and structured knowledge transfer
• Contributing to CI/CD workflows and automation to ensure reliable and efficient delivery
• Supporting governance, monitoring and cost control across Azure and Fabric components

What you bring:

• Strong hands-on experience with Microsoft Fabric Real-Time Analytics: Eventstream, KQL database, OneLake and workspace governance
• Advanced KQL skills, including queries, ingestion mapping, update policies and materialized views
• Proficiency with Kafka (Confluent or Azure Event Hubs with Kafka protocol), including producer/consumer models, schema registry, security (TLS/SASL), topic design and operational handling
• Solid experience with resilient API integration: retry/backoff, idempotence, parallelization and robust error-handling patterns
• Strong understanding of streaming architecture principles: ordering, deduplication and real-time data quality
• Good knowledge of Azure platform components such as VNet, Managed Identity, Key Vault, Monitor/Log Analytics, RBAC and cost optimization
• Experience with CI/CD using GitHub Actions and/or Azure DevOps
• Ability to document solutions effectively and transfer knowledge through workshops, playbooks and code reviews
• Experience with Lumera or insurance/pension domain (meritorious)
• Experience with Azure Data Explorer (ADX) and Purview (meritorious)
• Experience with observability or data-quality frameworks for streaming environments (meritorious)
• Experience with performance testing for streaming pipelines (meritorious)
• A pedagogical and inclusive mindset, with the ability to coach teams and establish common ways of working
• Strong communication skills with the ability to translate technical solutions into business value
• A proactive, quality-driven, security-minded approach with the ability to balance PoC speed with long-term stability
• Fluent in English and Swedish