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 career growth and mentoring junior engineers.
- Why this job: Make an impact with advanced technologies while developing your skills in a dynamic environment.
- Qualifications: 3+ years experience in data engineering and machine learning; strong communication skills.
The predicted salary is between 50000 - 60000 € per year.
Location: Newcastle Upon Tyne
Levels: Senior Analyst, Specialist
Experience Level: 3+ years
Note: Due to the nature of client work you will be willing to go through a Security Clearance (Including BPSS) process, which requires 5+ years UK address history at the point of application.
Hybrid Working: This role requires you to work from our Newcastle, Cobalt Business Park office for a minimum of 3 days per week.
Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services.
As part of our global team, you’ll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job.
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.
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
- 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 UK & Ireland
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 commitment to employee growth, you will have access to extensive training opportunities and the chance to work with cutting-edge technologies while enjoying a competitive benefits package, including generous vacation time and support for charitable initiatives. Join us to be part of a global team that values diversity and empowers you to make a meaningful impact in the world of data and machine learning.
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 just grab a coffee with someone who’s already in the role you want. Building relationships can open doors that applications alone can't.
✨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. Share it on platforms like GitHub or your personal website to give potential employers a taste of your work.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding data pipelines. Practice common interview questions and scenarios related to data engineering and ML. Remember, confidence is key!
✨Apply Through Our Website
When you find a job that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing passionate candidates who are eager to join our team.
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 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. Think about how you’ve designed and implemented data solutions in the past, and be ready to explain your thought process and the impact of your work.
✨Understand Security and Compliance
Since this role requires a security clearance, it’s crucial to demonstrate your awareness of security and compliance standards. Familiarise yourself with relevant regulations and be prepared to discuss how you ensure data governance in your projects.
✨Engage with the Interviewers
Don’t forget that interviews are a two-way street! Prepare thoughtful questions about the team dynamics, project methodologies, and opportunities for mentoring. This shows your interest in the role and helps you gauge if the company culture is a good fit for you.
