12 дней назад
Data Engineer (Databricks/Azure)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Databricks/Azure): Building scalable data products and automated pipelines for performance insights across customer meeting points and franchisees with an accent on batch and streaming processing, lakehouse architecture, and data quality. Focus on consolidating multiple business systems, implementing validation and monitoring, and delivering resilient cloud-native solutions with Databricks and Azure.
Location: Malmö, Sweden; flexible hybrid working model
Company
is a Swedish IT consulting firm delivering software development, technology consulting, recruitment, and end-to-end IT solutions.
What you will do
- Design, build, and maintain automated data solutions for customer meeting point and franchisee performance evaluation products.
- Develop end-to-end batch and streaming pipelines across ingestion, transformation, and serving layers.
- Consolidate data from multiple business systems into a trusted, centralized analytics ecosystem.
- Apply data modelling and lakehouse architecture practices to create scalable, reusable, resilient, and cost-efficient solutions.
- Ensure data quality through validation, monitoring, performance optimization, troubleshooting, version control, and auditability.
- Contribute to architecture, estimation, sprint planning, documentation, deployment, and communication with technical and non-technical stakeholders.
Requirements
- Proven experience designing and implementing end-to-end batch and streaming data pipelines.
- Hands-on experience with Databricks, Apache Spark, Delta Lake, job orchestration, performance tuning, and environment management.
- Strong knowledge of Microsoft Azure, particularly Azure Data Lake Storage.
- Solid understanding of data modelling, lakehouse architecture, data validation, monitoring, release processes, and production troubleshooting.
- Experience with Git and source control, CI/CD pipelines, automated testing, environment promotion, and Infrastructure as Code.
- Ability to contribute across the complete data engineering lifecycle and explain technical concepts and trade-offs clearly.
Culture & Benefits
- Flexible hybrid working model.
- Collaboration with cross-functional teams on digital products and robotic technologies.
- Competitive compensation and comprehensive benefits package.
- Support for continuous learning, growth, and professional development.
- 25 days of annual leave.
- Annual wellness allowance of 3,500 SEK.
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