At a Glance
- Tasks: Design and optimise data pipelines and machine learning solutions using cutting-edge technologies.
- 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 tech 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.
Data & ML Engineer - Newcastle in Newcastle upon Tyne employer: Accenture
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 diverse perspectives. Additionally, our competitive benefits package, including generous vacation time and extra leave for charitable work, ensures a rewarding work-life balance.
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 folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and machine learning. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data engineering and ML. Practice explaining your thought process clearly, as communication is key in client-facing roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, 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 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:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our awesome team!
How to prepare for a job interview at Accenture
✨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 ML solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand Security and Compliance
Since this role requires security clearance, be ready to talk about your understanding of data governance and compliance standards. Familiarise yourself with the BPSS process and be prepared to explain how you ensure data security in your projects.
✨Engage with the Interviewers
Don’t forget that interviews are a two-way street! Prepare thoughtful questions about the team culture, ongoing projects, and opportunities for growth within the company. This shows your genuine interest and helps you assess if the role is the right fit for you.
