At a Glance
- Tasks: Design and automate data pipelines using Azure, enhancing speed and reliability with AI.
- Company: Join a forward-thinking company focused on innovative data solutions.
- Benefits: Enjoy competitive salary, bonuses, flexible working, and wellness resources.
- Other info: Collaborative environment with opportunities for professional growth and learning.
- Why this job: Make an impact by optimising data processes and driving AI initiatives.
- Qualifications: Proficient in SQL and Python, with experience in data integration tools.
The predicted salary is between 60000 - 75000 £ per year.
Responsibilities
- Design, build, and automate end‑to‑end data pipelines in Azure, ensuring secure, reliable, and efficient ingestion, transformation, delivery, and documentation.
- Continuously optimise pipelines and integrations, improving speed, scalability, and reliability, including the use of AI‑driven automation.
- Deliver high‑quality datasets and data models (DWH, Lakehouse) that power analytics, reporting, and AI use cases.
- Monitor, troubleshoot, and enhance daily data operations, resolving issues quickly and proactively strengthening resilience.
- Improve performance and observability, optimising data flows and enhancing monitoring, alerting, and automated preventative rules.
- Support data governance and compliance, ensuring data quality, lineage, archiving, masking, encryption, and automated controls.
- Contribute to platform‑level enhancements, improving CI/CD, orchestration, scheduling, and monitoring for scalable, AI‑ready foundations.
- Advance the MBUK data strategy, exploring new technologies and automation opportunities.
Qualifications
- Designs and delivers cloud‑native or on‑prem data solutions.
- Leads and coordinates AI/ML initiatives, including identifying LLM use cases and integrating them into business and data workflows.
- Advanced SQL and Python skills, writing highly optimised queries across large datasets to create AI‑ready data.
- Collaborative team player and confident independent contributor.
- Proactive, taking ownership to deliver practical solutions.
- Strong knowledge of technical ecosystems, including data integration patterns and system architecture fundamentals.
- Clear, confident communicator across all audiences.
- Analytical, accurate, and skilled in solving complex problems.
- Hands‑on experience with data integration and transformation tools (e.g., Azure Data Factory, Databricks).
- Transforms complex analysis into clear, actionable insights.
- Experienced in Agile ways of working (Scrum, Kanban, Lean).
Benefits
- Competitive salary
- Discretionary bonus structure
- Pension scheme
- Flexible benefit pot
- Hybrid working approach
- Access to colleague wellbeing resources
- Training opportunities
AI-Driven Data Automation Engineer (Hybrid) in Milton Keynes employer: Daimler Trucks North America LLC
As an AI-Driven Data Automation Engineer at our company, you will thrive in a dynamic and innovative environment that champions collaboration and continuous learning. We offer a competitive salary, a discretionary bonus structure, and a flexible working approach that supports your wellbeing and professional growth. Join us to be part of a forward-thinking team that is dedicated to leveraging cutting-edge technology to drive impactful data solutions.
Contact Details:
Daimler Trucks North America LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI-Driven Data Automation Engineer (Hybrid) in Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect 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 data pipelines and AI-driven automation. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss how you've tackled complex data challenges and optimised processes in past roles. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI-Driven Data Automation Engineer (Hybrid) in Milton Keynes
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with Azure, SQL, and Python, and showcase any relevant projects that demonstrate your skills in building data pipelines and automation.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for the AI-Driven Data Automation Engineer role. Share specific examples of how you've optimised data processes or led AI initiatives in the past.
Showcase Your Problem-Solving Skills:In your application, don’t shy away from discussing complex problems you've tackled. We love seeing how you approach challenges, especially in data integration and transformation.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Daimler Trucks North America LLC
✨Know Your Tech Stack
Make sure you’re well-versed in Azure, SQL, and Python. Brush up on your knowledge of data integration tools like Azure Data Factory and Databricks. Being able to discuss specific projects where you've used these technologies will show that you’re not just familiar with them, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data issues in the past. Think about times when you optimised data pipelines or improved performance. This will demonstrate your analytical skills and ability to deliver practical solutions, which is key for this role.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You’ll need to communicate with various audiences, so being a clear and confident communicator is essential. Consider doing mock interviews with friends or colleagues to refine your delivery.
✨Emphasise Collaboration
This role requires a collaborative team player. Be ready to discuss how you’ve worked in Agile environments and contributed to team success. Highlight any experience leading AI/ML initiatives or working on cross-functional projects to showcase your teamwork skills.
