At a Glance
- Tasks: Design and automate data pipelines in Azure, enhancing speed and reliability with AI-driven solutions.
- Company: Join a forward-thinking company focused on data innovation and automation.
- Benefits: Enjoy a competitive salary, flexible working, and access to wellbeing 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, and training opportunities.
Data Automation Engineer (AI Enablement) employer: Daimler Trucks North America LLC
As a Data Automation Engineer at our company, you will thrive in a dynamic and innovative environment that champions collaboration and continuous learning. We offer competitive salaries, a discretionary bonus structure, and a flexible working approach that prioritises your wellbeing and professional growth. Join us to be part of a forward-thinking team that is at the forefront of AI enablement, where your contributions directly impact 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)
✨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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, automation projects, or any relevant work. This gives you a chance to demonstrate your expertise beyond just words on a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Azure, SQL, and Python. Practice explaining your thought process clearly, as communication is key in our field.
✨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 love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Automation Engineer (AI Enablement)
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/ML initiatives you've led. 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 projects or experiences that showcase your problem-solving skills.
Showcase Your Projects:If you've worked on relevant projects, whether in a professional setting or as personal endeavours, include them! We love seeing practical examples of your work, especially those that demonstrate your ability to optimise data pipelines and enhance performance.
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’re considered for the role. Plus, it’s super easy to do!
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 tools and technologies mentioned in the job description, like Azure Data Factory and Databricks. Brush up on your SQL and Python skills, and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've solved in data automation or integration. Be specific about the challenges you faced, the solutions you implemented, and the outcomes. This will demonstrate your analytical skills and ability to deliver practical solutions.
✨Communicate Clearly
Practice explaining technical concepts in a way that’s easy to understand. You’ll need to communicate with various stakeholders, so being a clear and confident communicator is key. Consider doing mock interviews with friends to refine your delivery.
✨Emphasise Collaboration
Highlight your experience working in teams, especially in Agile environments. Share examples of how you’ve collaborated on AI/ML initiatives or contributed to platform-level enhancements. This shows you’re not just a lone wolf but a team player who can drive projects forward.
