At a Glance
- Tasks: Design and build scalable data pipelines for analytics and AI solutions.
- Company: Join a leading organisation in digital transformation and data innovation.
- Benefits: Up to £50,000 salary, hybrid working, and structured learning opportunities.
- Other info: Collaborative team environment focused on career growth and skill enhancement.
- Why this job: Dive into modern data platforms and make an impact with AI technologies.
- Qualifications: Experience in data engineering or software development with Python and SQL skills.
The predicted salary is between 50000 - 50000 € per year.
We are seeking a Data Engineer to support the design and delivery of modern data and AI solutions within a large, highly regulated organisation undergoing digital transformation. This role sits within a technology and data function focused on delivering business‑driven, cloud‑enabled solutions. You will play a key role in building scalable data pipelines, developing AI‑enabled capabilities, and supporting the delivery of high‑quality analytics solutions that drive business value. This opportunity is ideal for someone early in their career with a strong foundation in data engineering or software development, who is passionate about data and AI. You will gain exposure to modern data platforms, machine learning and emerging technologies such as generative AI. You will work closely with analysts, engineers and business stakeholders, helping to translate requirements into robust technical solutions while contributing to data quality, governance and performance optimisation.
Responsibilities
- Design, build and maintain scalable data pipelines and datasets to support analytics and AI use cases
- Integrate data from multiple sources, ensuring consistency, quality and reliability
- Optimise data processing, storage and model performance for efficiency and scalability
- Develop and implement AI and machine learning models
- Support the development of generative AI solutions using large language models and prompt engineering
- Produce clear technical documentation covering pipelines, models and data structures
- Adhere to data governance, security and compliance standards
Skills and Experience
- Experience as a Data Engineer, Data Developer, AI Engineer or similar role
- Strong programming skills in Python and SQL
- Experience building data pipelines and working with structured and unstructured data
- Understanding of data modelling and data integration concepts
- Familiarity with machine learning or generative AI frameworks
What’s on Offer
- Salary of up to £50,000
- Hybrid working model (Manchester based)
- Structured learning and development with exposure to modern data and AI technologies
- Opportunity to work on large‑scale, impactful transformation programmes
- Supportive and collaborative team environment
- Strong focus on career progression and skill development
Data Engineer in Manchester employer: Cyber Security training courses
Join a forward-thinking organisation that prioritises innovation and employee growth, offering a competitive salary of up to £50,000 and a hybrid working model based in Manchester. As a Data Engineer, you will thrive in a supportive and collaborative environment, gaining invaluable experience with cutting-edge data and AI technologies while contributing to impactful transformation programmes. With a strong emphasis on structured learning and career progression, this role is perfect for those eager to advance their skills in a dynamic and highly regulated setting.
Contact Detail:
Cyber Security training courses Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts 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, AI projects, or any relevant work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and practical tasks. Practice coding challenges in Python and SQL, and be ready to discuss your past projects and how they relate to the role.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your programming skills in Python and SQL, and any relevant projects you've worked on that showcase your data engineering capabilities.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data and AI. Share specific examples of how you've built data pipelines or worked with machine learning models, and explain how you can contribute to our team.
Showcase Your Technical Skills:Don’t just list your skills; demonstrate them! If you have experience with data modelling or generative AI frameworks, include details about your projects or achievements that illustrate your expertise.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to join our team!
How to prepare for a job interview at Cyber Security training courses
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals. Be ready to discuss your experience with building data pipelines, working with both structured and unstructured data, and any relevant programming skills in Python and SQL. This will show that you have a solid foundation for the role.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous projects. Whether it's optimising data processing or integrating data from multiple sources, demonstrating your problem-solving abilities will impress the interviewers and highlight your practical experience.
✨Familiarise Yourself with AI Concepts
Since the role involves developing AI and machine learning models, it’s crucial to understand these concepts. Brush up on generative AI frameworks and be ready to discuss any relevant projects or coursework. This will show your passion for the field and your readiness to contribute.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy, the technologies they use, and their approach to data governance and compliance. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
