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- Tasks: Design and optimise data pipelines in a dynamic, AI-driven environment.
- Company: Join QAD Inc., a leader in cloud-based software for global manufacturing.
- Benefits: Fully remote role with competitive salary and opportunities for growth.
- Why this job: Make a real impact on manufacturing innovation and tackle real-world challenges.
- Qualifications: 5+ years in data engineering, expertise in Snowflake and AWS required.
- Other info: Collaborate with a multidisciplinary team in a supportive, human-sized environment.
The predicted salary is between 36000 - 60000 £ per year.
QAD Inc. is a leading provider of adaptive, cloud-based enterprise software and services for global manufacturing companies. Global manufacturers face ever-increasing disruption caused by technology-driven innovation and changing consumer preferences. In order to survive and thrive, manufacturers must be able to innovate and change business models at unprecedented rates of speed. QAD calls these companies Adaptive Manufacturing Enterprises. QAD solutions help customers in the automotive, life sciences, packaging, consumer products, food and beverage, high tech and industrial manufacturing industries rapidly adapt to change and innovate for competitive advantage.
We are looking for talented individuals who want to join us on our mission to help solve relevant real-world problems in manufacturing and the supply chain. This role is fully remote in the UK, with full work authorization already in effect. No Visa sponsorship is available.
In a data-driven and AI-oriented environment, you will be responsible for the design, industrialization, and optimization of inter-application data pipelines. You will be involved in the entire data chain, from data ingestion to its use by data science teams and AI systems in production within a human-sized and multidisciplinary team. This role is within the Process Intelligence (PI) team that combines functions such as Process Mining, Real Time Monitoring and Predictive AI.
Key responsibilities:- Design and maintain scalable data pipelines.
- Structure, transform, and optimize data in Snowflake.
- Implement multi-source ETL/ELT flows (ERP, APIs, files).
- Leverage the AWS environment, including S3, IAM, and various data services.
- Prepare data for Data Science teams and integrate AI/ML models into production.
- Ensure data quality, security, and governance.
- Provide input on data architecture.
- 5+ years of experience in data engineering, including significant experience in a cloud environment.
- Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security.
- AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda.
- Languages: Advanced SQL and Python for data manipulation, automation, and ML integration.
- Data Engineering: Proven experience in ETL/ELT pipeline design.
- AI/ML Integration: Ability to prepare data for model training and deploy AI models into production workflows (batch or real-time).
- Nice to Have: Experience with agentic AI architectures, including agent orchestration and decision loops.
- Integration of agent-driven AI models into existing data pipelines.
- Knowledge of modern architectures such as Lakehouse or Data Mesh.
Data Engineer in Portsmouth employer: QAD
Contact Detail:
QAD 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 virtual meetups, and connect with QAD employees on LinkedIn. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, ETL processes, or any cool projects you've worked on. This gives potential employers a taste of what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Snowflake, AWS, and data engineering concepts. We want to see how you think and solve problems!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our mission at QAD.
We think you need these skills to ace Data Engineer in Portsmouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Snowflake, AWS, and any relevant data engineering projects. We want to see how your skills match up with 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 mission at QAD. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in SQL, Python, and ETL/ELT pipeline design. We’re keen on seeing how you’ve used these skills in real-world scenarios, so be specific about your achievements!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at QAD
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals, especially around ETL/ELT processes and data pipeline design. Be ready to discuss your experience with Snowflake and AWS, as these are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled real-world data challenges in previous roles. QAD is looking for individuals who can innovate and adapt, so highlight any instances where you've improved data processes or solved complex issues.
✨Familiarise Yourself with AI/ML Integration
Since the role involves preparing data for AI models, be prepared to discuss your experience with machine learning workflows. Talk about how you've integrated AI into production and any relevant projects you've worked on.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in QAD's mission and the Process Intelligence team. Inquire about their current projects or challenges they face in data management to demonstrate your enthusiasm and engagement.
