At a Glance
- Tasks: Design and automate data pipelines in Azure, optimising for speed and reliability.
- Company: Join a forward-thinking company focused on AI and data innovation.
- 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 delivering high-quality datasets that drive analytics and AI.
- 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
Data Automation Engineer (AI Enablement) in Milton Keynes employer: Daimler Trucks North America LLC
As a Data Automation Engineer at our innovative company, you will thrive in a dynamic work culture that prioritises collaboration and continuous learning. With a competitive salary, flexible working arrangements, and a strong focus on employee wellbeing, we empower our team to explore new technologies and drive impactful AI initiatives. Join us in a location that fosters creativity and growth, where your contributions directly enhance our data strategy and operational excellence.
Contact Details:
Daimler Trucks North America LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Automation Engineer (AI Enablement) in Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, automation projects, or any relevant work. We love seeing practical examples of what you can do, so make sure to highlight your best projects when chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your SQL and Python skills, and be ready to discuss how you’ve tackled complex data challenges. We want to see your problem-solving skills in action, so think of real-life examples to share.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are eager to contribute to our data strategy.
We think you need these skills to ace Data Automation Engineer (AI Enablement) in Milton Keynes
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Automation Engineer. Highlight your experience with Azure, SQL, and Python, and don’t forget to mention any AI-driven projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data automation and how you can contribute to our team. Be sure to mention specific examples of your past work that relate to the responsibilities listed in the job description.
Showcase Your Problem-Solving Skills:In your application, give us a glimpse of your analytical mindset. Share examples of complex problems you've solved in previous roles, especially those involving data integration or automation. We love seeing how you tackle challenges head-on!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates. Plus, it’s super easy – just follow the prompts and let us know why you’d be a great fit!
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 your hands-on experience with these technologies will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about specific instances where you optimised data pipelines or resolved issues quickly. This will demonstrate your analytical skills and proactive approach, which are key for this role.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You’ll need to communicate effectively with various audiences, so being a clear and confident communicator is essential. Consider doing mock interviews with friends to refine your delivery.
✨Emphasise Collaboration
This role requires a collaborative team player. Be ready to discuss how you’ve worked with others on AI/ML initiatives or contributed to platform-level enhancements. Highlighting your ability to work in Agile environments will also be a plus!
