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- Tasks: Design and implement data pipelines and ML workflows using cutting-edge technologies.
- Company: Join Accenture, a global leader in IT services and consulting.
- Benefits: Enjoy a competitive salary, 25 days vacation, and private medical insurance.
- Why this job: Make an impact with innovative projects while working with advanced technology.
- Qualifications: 5+ years of experience in data engineering and machine learning.
- Other info: Flexible work environment with opportunities for professional growth and mentoring.
The predicted salary is between 36000 - 60000 £ per year.
Accenture UK & Ireland – Location: Newcastle Upon Tyne
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.
Data & ML Engineer - Newcastle in Newcastle upon Tyne employer: Accenture UK & Ireland
Contact Detail:
Accenture UK & Ireland Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & ML Engineer - Newcastle in Newcastle upon Tyne
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local tech events. You never know who might have a lead on that Data & ML Engineer role you’re after.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Python, SQL, and machine learning. Share it on platforms like GitHub or your personal website to impress potential employers.
✨Ace the Interview
Prepare for technical interviews by practising coding challenges and system design questions. Brush up on your knowledge of data pipelines and ML workflows, as these will likely come up during discussions.
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying directly through us can give you an edge, as we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data & ML Engineer - Newcastle in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data & ML Engineer role. Highlight your expertise in Python, SQL, and any relevant machine learning projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how your background aligns with our needs. Don't forget to mention your experience with cloud services and data pipelines – we love that stuff!
Showcase Your Projects: If you've got any personal or professional projects that demonstrate your skills in data modelling or machine learning, include them! We appreciate hands-on experience, so share links to your GitHub or any relevant portfolios that showcase your work.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you'll be able to keep track of your application status. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at Accenture UK & Ireland
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, SQL, and Spark. Brush up on your knowledge of machine learning models and data pipelines, as you might be asked to discuss your experience with these tools during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled large-scale data challenges or implemented robust data solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Company Culture
Research Accenture’s values and work culture. Be ready to explain how your personal values align with theirs, especially regarding collaboration and innovation. This will show that you’re not just a technical fit but also a cultural one.
✨Prepare Questions for Them
Have a few insightful questions ready to ask your interviewers. This could be about their current projects, team dynamics, or how they approach mentoring junior engineers. It shows your genuine interest in the role and helps you assess if it’s the right fit for you.
