Data & ML Engineer – Newcastle
Accenture UK & Ireland – Location: Newcastle Upon Tyne – Role: Data & ML Engineer – Seniority level: Senior Analyst / Specialist – Employment type: Full‑time – Job function: Engineering and Information Technology – Industries: IT Services and IT Consulting.
Due to the nature of client work you will need to undergo a Security Clearance (including BPSS) as part of this role, requiring 5+ years UK address history at the point of application.
The role will require you to work from our Newcastle, Cobalt Business Park office for a minimum of 3 days per week.
As part of a global team at Accenture’s Advanced Technology Centre, you will deliver high‑quality services to private and public sector clients.
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.
* Visualise 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
Competitive basic salary, 25 days vacation per year, private medical insurance, and 3 extra days leave per year for charitable work of your choice.
Flexibility and mobility required: may need to spend time onsite with clients and partners.
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