Remote Staff Data Platforms Engineer

Our Future Health; Wells; Remoto; GBP 95.000 - 116.000; Tempo pieno

Vantaggi offerti da questo lavoro

Generous Pension

Cycle to work scheme

Home & Tech Savings up to 8%

Salary sacrifice for mobility

Descrizione del lavoro

Jobs247 seeks a Remote Staff Software Engineer for Data Platforms to drive technical strategy and deliver scalable data solutions. You will lead architectural decisions, guide engineers, and collaborate with data leaders to raise the bar on product quality.

You’ll work in a flexible, cloud-native environment with Kubernetes, Databricks, Spark, and modern CI/CD, while mentoring teams and shaping data models for large-scale healthcare data initiatives.

Competenze

• Strong cloud engineering experience in Azure, AWS or GCP.
• Deep Python programming and IaC with Terraform/Ansible.
• Proficient in modern agile practices: code reviews, TDD, CI/CD, pairing.
• Experience with Kubernetes, Docker, Git/GitHub in scalable environments.
• Familiarity with data platforms, data lakes/lakehouses and Spark/Databricks.
• Knowledge of data modelling and relational databases; health data models a plus.

Mansioni

• Define and lead the technical strategy for the Data Platforms area.
• Collaborate with data leaders to implement improvements and address issues.
• Support and mentor peers through pairing, reviews, and coaching to raise standards.
• Deliver high-quality software products through agile practices and strong engineering discipline.

Conoscenze

Azure/AWS/GCP

Python

Terraform

Ansible

Kubernetes

Docker

Git/GitHub

Spark

Databricks

Data modeling

Strumenti

Terraform

Ansible

Kubernetes

Docker

Git

GitHub

Spark

Databricks

Descrizione del lavoro

Jobs247 seeks a Remote Staff Software Engineer for Data Platforms to drive technical strategy and deliver scalable data solutions. You will lead architectural decisions, guide engineers, and collaborate with data leaders to raise the bar on product quality.

You’ll work in a flexible, cloud-native environment with Kubernetes, Databricks, Spark, and modern CI/CD, while mentoring teams and shaping data models for large-scale healthcare data initiatives.