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Влияние на платформу
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Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer (Data Enablement) (Databricks/Python): Building trusted data foundations, pipelines, integrations, metadata solutions, and reusable data products across IKEA's enterprise platforms with an accent on data discovery, governance, quality, and platform enablement. Focus on connecting Databricks, Microsoft Fabric, Collibra, SAP, and M3, while designing scalable automation, CI/CD, Infrastructure as Code, and observability capabilities.
Location: Malmö, Sweden
Company
hirify.global is transforming its digital capabilities by connecting business processes, people, data, and technology to support its home furnishing retail business.
What you will do
Design, develop, and operate data pipelines with metadata, lineage, data quality, observability, and monitoring capabilities.
Build integrations across Databricks, Microsoft Fabric, Collibra, SAP, M3, and other enterprise systems.
Develop trusted data assets, metadata solutions, and reusable data products that support discovery, governance, self-service, and consumption.
Create CI/CD processes, automation, and Infrastructure as Code capabilities.
Contribute to data quality, governance, trust, security, compliance, and scalable architecture.
Collaborate with Software Engineers, Data Management specialists, architects, platform teams, privacy, and cyber security functions.
Requirements
5+ years of experience in Data Engineering.
Strong proficiency in Python, PySpark, and SQL.
Experience designing and implementing scalable, high-performing data pipelines and data products.
Experience with modern cloud platforms such as Azure, AWS, or GCP.
Hands-on experience with Databricks and modern data platform technologies.
Experience with metadata, lineage, data quality, governance, or observability capabilities.
Experience building CI/CD pipelines, automation, and Infrastructure as Code solutions.
Understanding of Data Mesh, Data Products, and Data Lakehouse architectures.
Strong collaboration and communication skills, with a passion for trusted, reusable, and well-governed data solutions.
Culture & Benefits
Join a newly formed Data Enablement team shaping strategic data capabilities across hirify.global.
Work with reusable data foundations that support analytics, digital products, and future AI initiatives across the enterprise.
Participate in planning, daily stand-ups, backlog refinement, peer reviews, knowledge sharing, and continuous improvement.
Applications are accepted in English only; applications sent by email are not accepted.
Application deadline: 18 November.
Accommodation is available during the recruitment process for candidates with special needs.
Hiring process
Apply by 18 November; early applications are encouraged.
Submit the application in English through the application process, not by email.
Contact the recruiter for questions about the role, recruitment process, or accommodation needs.
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