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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 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 cloud platforms.
- 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 Portsmouth employer: Careerwise
Contact Detail:
Careerwise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Portsmouth
✨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 gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data engineering. Practice common interview questions and be ready to discuss your experience with Python, SQL, and cloud platforms.
✨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 postings and make sure your application stands out by tailoring it to the role.
We think you need these skills to ace Data Engineer in Portsmouth
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 Python and SQL prowess!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data engineering and how you can contribute to our team. Mention any relevant projects or experiences that demonstrate your expertise in building scalable data platforms.
Showcase Your Technical Skills: When filling out your application, make sure to highlight your familiarity with tools like Spark, Kafka, and Docker. We love seeing candidates who are well-versed in the tech stack we use, so don’t hold back!
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 follow the prompts!
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. Brush up on your Python, SQL, and any tools like Spark or Kafka. Being able to discuss your hands-on experience with these technologies will show that you’re not just familiar but truly capable.
✨Showcase Your MLOps Knowledge
Since MLOps is a key part of the role, be prepared to talk about your experience with CI/CD pipelines and how you've implemented them in past projects. Share specific examples of how you’ve developed and supported MLOps pipelines, as this will demonstrate your practical understanding.
✨Prepare for Scenario Questions
Expect scenario-based questions that test your problem-solving skills. Think about challenges you’ve faced while building data pipelines or working with autonomous systems. Prepare to explain your thought process and the steps you took to overcome those challenges.
✨Collaborate and Communicate
This role involves working closely with ML, AI, and product teams, so highlight your collaboration skills. Be ready to discuss how you’ve worked in cross-functional teams and how you communicate complex technical concepts to non-technical stakeholders.
