At a Glance
- Tasks: Design and automate data pipelines using Azure, enhancing speed and reliability with AI.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Enjoy a competitive salary, flexible working, and access to wellbeing resources.
- Other info: Dynamic hybrid work environment with opportunities for professional growth.
- 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 - 80000 £ 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, and training opportunities.
AI-Driven Data Automation Engineer (Hybrid) 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 hybrid working approach, ensuring a healthy work-life balance while providing access to extensive training resources for your professional growth. Join us to be part of a forward-thinking team that values your contributions and empowers you to explore new technologies and automation opportunities in the heart of a vibrant tech community.
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)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨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 you an edge and demonstrate your hands-on experience to potential employers.
✨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 the past. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team and contributing to our data strategy.
We think you need these skills to ace AI-Driven Data Automation Engineer (Hybrid)
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 the technologies mentioned in the job description, especially Azure, SQL, and Python. Brush up on your knowledge of data integration tools like Azure Data Factory and Databricks, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data challenges. Think about how you’ve optimised data pipelines or resolved issues in previous roles. This will demonstrate your analytical skills and proactive approach.
✨Communicate Clearly
Practice explaining technical concepts in a way that’s easy to understand. You’ll need to communicate effectively with various audiences, so being able to break down complex ideas into clear insights is key.
✨Emphasise Collaboration
Highlight your experience working in teams, especially in Agile environments. Share examples of how you’ve contributed to team projects and supported AI/ML initiatives, showing that you’re a collaborative player who can also take ownership of tasks.
