At a Glance
- Tasks: Design and optimise data pipelines and machine learning solutions using cutting-edge technologies.
- Company: Join Accenture, a leader in innovative tech solutions with a collaborative culture.
- Benefits: Enjoy 25 days vacation, private medical insurance, and extra leave for charity work.
- Other info: Hybrid working model with opportunities for career growth and client engagement.
- Why this job: Make an impact by delivering intelligent data products and mentoring future engineers.
- Qualifications: 3+ years experience in data engineering and strong skills in Python, SQL, and ML.
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.
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.
Qualification 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 in Newcastle upon Tyne employer: 慨正橡扯
Accenture is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Newcastle Upon Tyne. With a strong focus on employee growth, you will have access to extensive training opportunities and the chance to mentor junior engineers, all while enjoying a competitive salary and a generous benefits package that includes 25 days of vacation and additional leave for charitable work. The hybrid working model allows for flexibility, ensuring a balanced work-life experience as you engage with cutting-edge technologies in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data & ML Engineer in Newcastle upon Tyne
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. We all know that sometimes it’s not just what you know, but who you know!
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving Python, SQL, or machine learning. We recommend using platforms like GitHub to showcase your work – it’s a great way to impress potential employers.
✨Ace the Interview
Prepare for those tricky interview questions by practising your responses. We suggest doing mock interviews with friends or using online resources. Make sure you can explain your past projects and how they relate to the role of a Data & ML Engineer.
✨Apply Through Our Website
When you find a job that fits, apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for talented individuals like you to join our team!
We think you need these skills to ace Data & ML Engineer 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 your experience aligns with our needs. Let us know why you want to join StudySmarter specifically.
Showcase Your Projects:If you've worked on any cool data pipelines or machine learning models, make sure to mention them! We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at 慨正橡扯
✨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 workflows. 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 Security and Compliance
Since this role requires security clearance, it’s crucial to show your awareness of security and compliance standards. Familiarise yourself with relevant regulations and be prepared to discuss how you’ve ensured data quality and governance in past roles.
✨Engage with the Interviewers
Don’t forget that interviews are a two-way street! Prepare thoughtful questions about the team dynamics, project methodologies, and how they approach mentoring. This shows your interest in the role and helps you gauge if it’s the right fit for you.
