Platform Data Engineer

Wm. Wrigley Jr.; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading confectionery company is seeking a Data Platform Engineer to design and maintain a scalable data platform on Azure. The ideal candidate will have substantial experience in data platform engineering, strong proficiency in Terraform and scripting languages, and excellent communication skills to liaise with both technical teams and business users. Join us to work on innovative cloud solutions.

Qualifications

• Proven experience in data platform engineering, including building and optimising data infrastructure.
• Expertise in Azure cloud services and infrastructure as code practices.
• Excellent communication skills to explain complex platform concepts.

Responsibilities

• Contribute to designing and maintaining the data platform on Azure.
• Develop and implement data platform tools and frameworks.
• Collaborate with users to understand their requirements.

Skills

Data platform engineering

Terraform

Bash scripting

PowerShell scripting

Python

Azure cloud services

Infrastructure as Code

DevOps pipelines

Communication skills

Education

Bachelor's or master's degree in computer science or related field

Tools

Azure DevOps Pipelines

GitHub Actions

Docker

Kubernetes

Hadoop

Spark

Job description

Job Description

What are we looking for?

Essential Requirements

• Proven experience in data platform engineering, including building, developing, and optimising data infrastructure.
• Proficient primarily in Terraform, with strong experience in Infrastructure as Code, DevOps pipelines, and scripting using Bash and PowerShell.
• Proficiency in Python.
• Expertise in Azure cloud services and infrastructure as code (e.g., Azure Resource Manager templates, Terraform) and DevOps Pipelines such as Azure DevOps Pipelines or GitHub Actions.
• Excellent communication skills being able to explain complex platform concepts to both data engineers and business users.

Nice to Haves

• Bachelor's or master's degree in computer science, Information Technology, or a related field
• Experience with containerisation and orchestration technologies (e.g., Docker, Kubernetes).
• Knowledge of big data technologies and frameworks (e.g., Hadoop, Spark).
• Familiarity with other cloud platforms (e.g. AWS, Google Cloud) and PaaS providers (e.g. Snowflake)
• Knowledge of Inner or Open Source paradigm and way of working
• Knowledge of Cloud (Azure) Networking and Security Standards

Key Responsibilities

• Data Platform Engineering: Contribute to designing, developing, and maintaining our data platform and core toolsets on the Azure cloud. Ensure the platform is highly available, scalable, and performs optimally.
• Data Tools and Frameworks Development: Contribute to developing and implementing data platform tools and frameworks on Azure to support the organisation's data needs. Collaborate with other teams to align data infrastructure with business objectives.
• Collaborate and support platform users: Work alongside other data teams and business users to help understand their requirements of the platform and support in a third-line capability as and when needed.
• Infrastructure as Code: Utilise Azure infrastructure as code practices to automate the provisioning and management of data platform resources. Ensure consistency, repeatability, and efficiency in infrastructure deployment.
• Technology Evaluation: Stay up-to-date with emerging technologies and industry best practices in data engineering and Azure cloud services. Evaluate and recommend new tools and technologies to enhance the data platform's capabilities and efficiency.