At a Glance
- Tasks: Design and optimise data pipelines and machine learning solutions using cutting-edge tech.
- Company: Join Accenture, a global leader in professional services with a culture of innovation.
- Benefits: Enjoy 25 days vacation, private medical insurance, and extra leave for charity work.
- Other info: Hybrid working model with opportunities for mentoring and career advancement.
- Why this job: Make an impact with advanced technologies while growing your skills in a vibrant environment.
- Qualifications: 3+ years experience in data challenges and strong communication skills required.
The predicted salary is between 50000 - 60000 € per year.
Location: Newcastle Upon Tyne
Levels: Senior Analyst, Specialist
Experience Level: 3+ years
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: This role will require you to work from our Newcastle, Cobalt Business Park office for a minimum of 3 days per week.
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.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Data & ML Engineer - Newcastle in Newcastle upon Tyne employer: Accenture UK
Accenture is an exceptional employer, offering a vibrant work culture in Newcastle Upon Tyne that fosters innovation and collaboration. With access to cutting-edge technologies and a commitment to employee growth through extensive training and mentorship opportunities, you will thrive in a supportive environment that values diversity and shared success. Enjoy a competitive salary alongside generous benefits, including 25 days of vacation and additional leave for charitable work, making it a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data & ML Engineer - Newcastle in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to current employees at Accenture or in similar roles on LinkedIn. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and machine learning models. Show us what you've got!
✨Tip Number 3
Don’t forget to showcase your soft skills! Communication and teamwork are key in this role, so be prepared to share examples of how you've collaborated effectively in the past.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining our team at Accenture.
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 is tailored to the Data & ML Engineer role. Highlight your experience with Python, SQL, and any relevant machine learning projects. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've worked on any cool data pipelines or machine learning models, make sure to mention them in your application. We’re keen to see real examples of your work and how you’ve tackled challenges in the past.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Accenture UK
✨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 concepts, especially NLP and deep learning, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've designed and implemented data pipelines or ML solutions. Be ready to explain your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Company Culture
Research Accenture’s values and culture, especially their focus on innovation and collaboration. Think about how your personal values align with theirs and be prepared to share examples of how you’ve worked in diverse teams or contributed to a culture of shared success.
✨Prepare for Security Clearance Questions
Since this role requires security clearance, be ready to discuss your UK address history and any relevant compliance experience. Familiarise yourself with the BPSS process and be honest about your background to ensure a smooth application.
