Data Cloud Engineer
Kingfisher
- Cluj
- Permanent
- Full-time
- Annual performance bonus
- Employee referral bonus
- Private medical care with Regina Maria Priority Plan; option to add one immediate family member (spouse or child) at no extra cost
- Eyeglasses vouchers
- Employer‑financed life insurance (Signal Iduna)
- 7Card fitness membership (co‑funded)
- Access to Bookster, LEO Learning and LinkedIn Learning
- Fresh fruit bar and premium coffee in the office
- Hybrid work model — up to 3 days/week in the office and 2 days from home
- Flexible working hours
- 21 days of annual leave plus 1 extra day per year of tenure (up to 25 days total)
- Substitution days when public holidays fall on weekends
- Paid leave for wedding and bereavement
- Meal tickets: 40 RON/day (gross)
- Gift vouchers: up to 4 per year x 300 RON (net) each, offered for specific occasions:
- Easter - all employees- 8th of March
- female employees- 1st of June
- employees with children What's the job?:
- Drive automation in all technical areas
- Help to maintain and improve stability of the Data Platform as well as drive decision
- Making in effectively and efficiently influence scalability
- Supporting the Design and delivery of pipelines and paths to production
- Working closely with the Tech Lead, Product Owner and Scrum Masters to create,
- deliver and support the platform in line with our infrastructure strategy
- Reviewing automation in technical areas and recommend improvements
- Creation and ongoing ownership of the platform common standards and practices
- Work closely with Data Engineers with exposure to Data Lake and Data Warehouse
- A strong background and working knowledge of Data engineering
- A strong technical background in build and release environments, with experience of CI tools such as Gitlab, Azure DevOps Pipelines
- Good programming skills in Shell
- Infrastructure as a code using Terraform/Ansible
- Experience in ADF Pipeline optimisation
- Experience in Azure Databricks administration (understanding of Cluster management, monitoring etc.)
- Azure Cloud management for core services
- A good understanding and any experience of monitoring tools like DataDog
- Excellent command of English (written and spoken)
- A good understanding of Kafka or any other Spark Implementation
- Experience with PowerShell and Bicep