DESCRIPTION:

Job Requisition ID: 39256
We support flexibility and choice including flexible work arrangements and part-time options.
Recognition culture to celebrate milestones and discounts at hundreds of retailers
18 weeks paid parental leave from Day 1 + 12 months return to work support (work 4 days and get paid 5)
What will your typical day look like?
Our business is growing, and we are seeking an experienced Data & AI Specialist Lead to join our team. The role is responsible for setting the strategic direction and delivering enterprise-scale data and analytics capabilities. You will be interfacing accross one or multiple client accounts alongside multi diciplinary teams
About the team
Our Engineering as a Service practice consists of a diverse mix of skilled and experienced managed services personnel providing differentiated Cloud, Platform, Infrastructure, and Data and AI Managed Services for leading edge technology transformation projects in steady state. Our team is responsible for providing our clients with the highest level of customer support services by using modern service management frameworks and leading operational tooling.
Enough about us, let’s talk about you.
Key Responsibilities
Lead design, build, and optimisation of data engineering pipelines, AI integration services, and analytics platforms.
Drive adoption of best practices for cloud-native data workloads across Azure and AWS.
Provide hands-on development support for high-priority and complex projects.
Ensure solutions meet performance, security, and compliance standards.
Azure: Functions, DevOps CI/CD pipelines, Azure Data Factory integration.
AWS: Lambda, EC2, Redshift, S3, CloudWatch configuration and monitoring.
ETL & Data Integration: Develop and maintain ETL workflows using Azure Data Factory, Talend, Fivetran, Informatica and SQL Server Integration Services (SSIS).
Manage data ingestion, transformation, and synchronisation processes across multiple systems.
Deliver interactive dashboards and analytics using Power BI, SQL Server Reporting Services (SSRS), and IBM Cognos Analytics.
Support AI-driven insights by integrating advanced analytics and machine learning models into reporting layers.
Mentor and coach junior engineers, fostering skill growth and technical excellence.
Collaborate with stakeholders to gather requirements, refine user stories, and align technical solutions to business goals.
Act as a technical escalation point for the Data & AI engineering team.
Continuously assess emerging Microsoft technologies and integrate them into the managed services offering where appropriate.
Participate in pre-sales engagements, proposals, and solution design when Azure expertise is required.
Contribute to recruitment and workforce planning to ensure a high-performing Azure capability.

Please refer the Job description for details