How do I apply for the Data Cloud Engineer position at Kingfisher and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

Is the internship at Kingfisher paid and what compensation can candidates expect?

Yes, this is a paid internship opportunity. Exact compensation details are typically finalized during the company interview process.

What are the working arrangements and expected duration for the Data Cloud Engineer role?

This position is a not disclosed, structured as a hybrid role.

What educational background or degree level is required for the Data Cloud Engineer at Kingfisher?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor.

Does Kingfisher provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Data Cloud Engineer

Kingfisher

Found 1 month ago

Location

Cluj, Romania

Time

Not disclosed

Work Mode

Hybrid

Salary

40 RON/day (gross)

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Bachelor

Skills & Qualifications

Technical Skills

Data engineering
Gitlab
Azure DevOps Pipelines
Shell
Terraform
Ansible
ADF Pipeline optimisation
Azure Databricks administration
Azure Cloud
DataDog
Kafka
Spark Implementation
PowerShell
Bicep

Soft Skills

Excellent command of English (written and spoken)

Job Description

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

Requirements

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)

Data & Analytics

Data Engineering

Languages

English

Nice to Haves

A good understanding of Kafka or any other Spark Implementation
Experience with PowerShell and Bicep

Apply Now

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