Devops Engineer AWS Cloud & Data Engineer

Michael Bailey Associates
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Tech stack

Amazon Web Services (AWS)
Amazon Web Services (AWS)
Azure
Bash
Cloud Computing
Cloud Engineering
Continuous Integration
Information Engineering
Data Governance
Data Transformation
Data Systems
Data Warehousing
DevOps
Identity and Access Management
Python
Microsoft SQL Server
Powershell
SQL Databases
Data Logging
Scripting (Bash/Python/Go/Ruby)
Data Ingestion
Infrastructure as Code (IaC)
Amazon Web Services (AWS)
Cloudformation
PySpark
Data Analytics
Bicep
Tools for Reporting
Functional Programming
Data Delivery
Terraform
Data Pipelines
Azure
Databricks

Job description

We are looking for a versatile DevOps Engineer to join our Area Risk Reporting team within Tribe External Reporting.

You will be responsible for building and maintaining our information factories - end-to-end data solutions that source, transform, and deliver high-quality, report ready data to the business. This role blends DevOps, data engineering, and cloud infrastructure, with a strong focus on both Azure and AWS.

You'll work across the full lifecycle of data delivery - from infrastructure provisioning and data ingestion to transformation and reporting readiness.

About the Department

Tribe External Reporting is responsible for ensuring our compliance with financial regulations and standards. The department manages the accurate and timely submission of regulatory reports to financial authorities. By applying advanced data analytics and reporting tools, it safeguards efficiency, transparency, and full adherence to regulatory requirements.

Key Responsibilities

Build Information Factories

  • Design and implement end-to-end data solutions that source, transform, and deliver data for reporting

  • Collaborate with stakeholders to understand data requirements and translate them into scalable technical solutions

  • Ensure data pipelines are reliable, secure, and optimized for performance Infrastructure & Cloud Engineering

  • Build and manage infrastructure in AWS and Azure using Infrastructure as Code (IaC) tools like Terraform, CloudFormation, ARM and Bicep

  • Configure networking, security, and access controls across cloud environments

  • Ensure infrastructure supports data workloads and reporting performance DevOps & Automation

  • Develop and maintain CI/CD pipelines for infrastructure and data deployments

  • Automate testing, monitoring, and deployment workflows

  • Implement logging, alerting, and observability for data and infrastructure components

Collaboration & Governance

  • Work closely with developers, architects, and business stakeholders to align infrastructure and data solutions with reporting needs

  • Ensure compliance with data governance, security, and regulatory requirements

  • Document architecture, processes, and best practices for internal knowledge sharing

Requirements

Skills & Knowledge

  • Strong experience with AWS (e.g., S3, Glue, IAM, Lambda, VPC)

  • Strong experience with Azure (e.g., Data Factory, Synapse, Key Vault, VNets, NSGs)

  • Proficiency in Infrastructure as Code (Terraform, Bicep, ARM templates, CloudFormation)

  • Experience with CI/CD tools (Azure DevOps)

  • Strong scripting skills (e.g., Python, PowerShell, Bash)

  • Familiarity with data transformation tools (e.g., dbt, PySpark, SQL)

  • Experience with MSSQL and DataBricks

  • Understanding of data modelling and data warehouse architecture

Bonus Points * Experience in risk or financial reporting environments * Certifications in AWS and/or Azure (e.g., AWS Data Engineer, Azure DevOps Engineer) * Exposure to multi-cloud or cloud migration projects

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