Accenture

Role: Data & ML Engineer

Location: Newcastle Upon Tyne

Levels: Senior Analyst, Specialist

Please Note: Due to the nature of client work you will be undertaking, you will need to be willing to go through a Security Clearance (Including BPSS) process as part of this role, which requires 5+ years UK address history at the point of application.

Hybrid Working: Please note - This role will require you to work from our Newcastle, Cobalt Business Park office for a minimum of 3 days per week

Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge.

As a team:

Our Advanced Technology Centre is a thriving technology and innovation hub from where we deliver high quality services to a number of private and public sector clients.

You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways.

If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job.

Role Overview:

As a Data & ML Engineer, you will design, build, and optimize scalable data pipelines and machine learning solutions. You’ll work with client teams to deliver intelligent data products, leveraging modern cloud and AI technologies.

Key Responsibilities

• Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks.
• Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments.
• Integrate data from diverse sources, including streaming and batch ingestion, using Azure Data Factory, GCP Dataflow and AWS services.
• Apply data modelling concepts (e.g., medallion architecture) and ensure data quality and governance.
• Collaborate with DevOps teams to automate CI/CD and MLOps processes using Azure DevOps, Kubernetes, and Terraform.
• Visualize and communicate insights using Power BI, Tableau, and PowerApps.
• Mentor junior engineers and contribute to internal knowledge sharing.
• Ensure solutions meet security, compliance, and performance standards.

Core Data & AI Skills

• Python, SQL, Spark, Scala
• Machine Learning, NLP, Deep Learning, Prompt engineering, Agentic AI
• Data Architecture, Data Modelling, Data Engineering, Data Analysis

DevOps & Engineering

• CI/CD and MLOps (Azure DevOps, GitHub actions, Jenkins, Kubeflow etc)
• Infrastructure as Code (Terraform, Ansible etc)
• Containers (Kubernetes, Docker etc)

Certifications & Tools

• Data Visualisation and UI (Power BI, PowerApps, Tableau etc)
• Data Science Platforms (Databricks, Snowflake etc)
• Cloud certifications (Azure, AWS, GCP)
• Cloud Native Data Engineering (Azure Data Factory, AWS Glue, GCP Dataflow etc)

Other Requirements

• Experience with large-scale data challenges (big data, distributed systems)
• Hands-on with Infrastructure-as-Code (Terraform, Ansible)
• Agile and Waterfall project experience
• Strong stakeholder management and communication skills
• Security and compliance awareness

Desirable

• Experience in client-facing roles
• Industry certifications (e.g., AWS Solution Architect, Azure Data Engineer, GCP Data Engineer)
• Experience mentoring or managing teams

What’s in it for you

At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice!

Flexibility and mobility are required to deliver this role as there may be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for.

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