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- Tasks: Design and optimise automated data pipelines for scalable analytics and AI-driven operations.
- Company: Join a large enterprise undergoing exciting data and automation modernisation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact by embedding AI into data workflows and enhancing automation.
- Qualifications: Experience in data engineering, SQL, Python, and cloud integration tools required.
- Other info: Collaborative environment with strong focus on innovation and career development.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Location: Milton Keynes (Hybrid – 3 Days In-Office Weekly)
Salary: £45,000 – £55,000
Network IT are partnering with a large, enterprise‑scale organisation undergoing significant modernisation of their data and automation platforms. We’re seeking an experienced Data Automation Engineer to design, build, and optimise secure, highly automated data pipelines that enable scalable analytics, AI‑ready data, and intelligent, data‑driven operations across the business.
This role is suited to someone with hands‑on experience delivering robust end‑to‑end data solutions, strong automation capability, and growing exposure to AI‑enabled data workflows, including opportunities to influence how LLMs and AI automation are embedded into the organisation’s data estate.
Role Overview and Responsibilities
As a Data Automation Engineer, you will take ownership of the delivery, operation, and continuous improvement of automated data pipelines and platform components across Azure and on‑prem environments. You’ll work closely with Data Engineers, Solution Architects, Application Managers, and international teams to ensure data operations are scalable, resilient, and aligned with governance and quality standards.
Key responsibilities include:
- Designing, building, and maintaining fully automated end‑to‑end data pipelines, ensuring secure, reliable data ingestion, transformation, delivery, and documentation.
- Delivering high‑quality data flows using tools such as Azure Data Factory, Databricks, SQL, and Python, reducing manual intervention through standardisation and automation.
- Identifying and implementing improvements in speed, reliability, and scalability, including opportunities to apply AI‑supported automation and optimisation.
- Preparing and maintaining high‑quality datasets and AI‑ready data models (DWH / Lakehouse) to support analytics, reporting, and machine‑learning use cases.
- Monitoring and troubleshooting daily data operations, resolving issues following ITIL best practices, and implementing proactive improvements, alerting, and self‑healing mechanisms.
- Enhancing pipeline performance and observability, improving monitoring, alerting, and automated preventative rules.
- Supporting data governance processes such as data quality, lineage, masking, encryption, archiving, and compliance, with increasing automation maturity.
- Contributing to CI/CD processes, orchestration, scheduling, and platform‑level enhancements to support scalable, AI‑enabled data foundations.
- Collaborating with cross‑functional and international teams to align changes, share best practices, and support the execution of the organisation’s data strategy.
Essential Skills and Experience
To be successful in this role, you will bring:
- Proven experience delivering automated end‑to‑end data engineering solutions in complex environments.
- Advanced SQL skills, including performance tuning and optimised queries across large datasets to prepare AI‑ready data.
- Knowledge of Python (or R) for data processing, transformation, or analytics.
- Hands‑on experience with cloud and on‑prem data integration tools such as Azure Data Factory and Databricks.
- Strong background in data modelling, data warehousing, and relational database environments (e.g., MS SQL Server).
- Experience designing cloud‑native and on‑prem data solutions.
- Exposure to AI/ML initiatives, AI‑enabled automation, and an understanding of LLM concepts and their data workflow applications.
- Experience working in Agile environments (Scrum, Kanban, DevOps).
- Strong analytical, problem‑solving, and communication skills, with the ability to work effectively across technical and non‑technical teams.
Data Engineer (AI and Automation) in Milton Keynes employer: Network IT Recruitment Limited
Contact Detail:
Network IT Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (AI and Automation) in Milton Keynes
✨Tip Number 1
Network, network, network! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering field. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving automated data pipelines or AI workflows. This is your chance to demonstrate what you can do beyond your CV, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data engineering and AI. Be ready to discuss how you’ve tackled challenges in past roles and how you can contribute to the company’s data strategy.
✨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 Engineer (AI and Automation) in Milton Keynes
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with automated data pipelines, SQL, and Python. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and automation, and explain why you’re excited about the opportunity at StudySmarter. Let us know how you can contribute to our team.
Showcase Relevant Projects: If you've worked on any projects that involved AI or automation, make sure to mention them! We love seeing real-world applications of your skills, especially those that demonstrate your ability to deliver robust data solutions.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Network IT Recruitment Limited
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, like Azure Data Factory, Databricks, SQL, and Python. Brush up on your advanced SQL skills and be ready to discuss how you've used these technologies to deliver automated data solutions.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about specific instances where you improved data pipeline performance or implemented AI-supported automation. This will demonstrate your analytical abilities and hands-on experience.
✨Understand the Bigger Picture
Familiarise yourself with the company’s data strategy and how your role as a Data Engineer fits into it. Be ready to discuss how you can contribute to their goals, especially regarding AI-enabled data workflows and automation.
✨Communicate Effectively
Since you'll be collaborating with cross-functional teams, practice explaining technical concepts in simple terms. Highlight your communication skills during the interview, showing that you can bridge the gap between technical and non-technical stakeholders.