Overview
Role: Data & ML Engineer
Location: Newcastle Upon Tyne
Levels: Senior Analyst, Specialist
Experience Level: 3+ years
Note: Due to the nature of client work you will be willing to go through a Security Clearance (Including BPSS) process, which requires 5+ years UK address history at the point of application. Hybrid Working: This role requires 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 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
* At least 3 years 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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