Senior Data Engineer - 14621

Om jobbet

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