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For Companies At a Glance
- Tasks: Build and maintain scalable data pipelines for cutting-edge AI solutions.
- Company: Join a forward-thinking tech company focused on Agentic AI and MLOps.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a real impact in the industry.
- Qualifications: Strong Data Engineering experience with Python, SQL, and MLOps knowledge.
- Other info: Collaborative environment with exciting projects and career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
We're looking for a Data Engineer with hands-on experience in Agentic AI systems and MLOps to help build scalable data platforms and production-ready AI solutions.
What You'll Do
- Build and maintain scalable batch & streaming data pipelines
- Enable data infrastructure for Agentic AI / LLM-based autonomous systems
- Develop and support MLOps pipelines (training, deployment, monitoring)
- Work with vector databases, RAG pipelines, and real-time data systems
- Collaborate closely with ML, AI, and product teams
What We're Looking For
- Strong experience as a Data Engineer
- Proficiency in Python & SQL
- Experience with Agentic AI, LLMs, or autonomous agents
- Solid understanding of MLOps & CI/CD
- Experience with cloud platforms, Azure
- Familiarity with Spark, Kafka, Airflow, Docker, and Kubernetes
Nice to Have
- Experience with vector databases (Pinecone, FAISS, Weaviate)
- ML platforms like MLflow, Kubeflow, SageMaker
- RAG, embeddings, or knowledge graphs
Data Engineer in Newcastle upon Tyne employer: Careerwise
Contact Detail:
Careerwise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Agentic AI and MLOps. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and cloud platforms like Azure. Practising common data engineering scenarios can really help you shine.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Data Engineers. Keep an eye on our job listings and make sure your application stands out by tailoring it to the role.
We think you need these skills to ace Data Engineer in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Agentic AI systems and MLOps. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your relevant projects!
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. We love hearing personal stories that connect your experience to our mission.
Showcase Your Technical Skills: Be specific about your proficiency in Python, SQL, and any cloud platforms you've worked with. If you've got experience with tools like Spark or Docker, make sure to mention those too. We’re keen on seeing your technical prowess!
Apply Through Our Website: We encourage you to apply directly 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 Careerwise
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, SQL, and MLOps tools. Brush up on your knowledge of Spark, Kafka, and Docker, as these are likely to come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built or maintained data pipelines. Highlight your experience with Agentic AI systems and any real-time data solutions you've worked on. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Role of Collaboration
Since the role involves working closely with ML, AI, and product teams, be ready to talk about how you’ve collaborated in the past. Share examples of how you’ve communicated complex technical concepts to non-technical stakeholders.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to MLOps and their data infrastructure. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
