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- Tasks: Design and maintain robust data solutions using Generative AI for internal stakeholders.
- Company: Join a dynamic international team focused on innovative data engineering.
- Benefits: Enjoy a competitive salary, bonus scheme, and excellent career progression opportunities.
- Why this job: Make an impact with cutting-edge technology while collaborating with diverse teams.
- Qualifications: Experience in SQL, Python, and data management principles required.
- Other info: Work in a supportive environment with ongoing training and development.
The predicted salary is between 36000 - 60000 £ per year.
A fantastic opportunity has arisen for a Data Engineer (Generative AI) to join a developing international and transversal structure, supporting internal stakeholders through the design, delivery and maintenance of robust data solutions. This role performs the duties of a Data Engineer (Generative AI) and reports into a senior technical lead within the organisation.
- Evaluate, design, build and maintain structured and unstructured data sets for a range of internal customers.
- Design and support resilient, secure and scalable data pipelines aligned to business needs.
- Collaborate closely with internal stakeholders to understand data requirements and optimise data usage.
- Ensure data quality, governance and compliance standards are met across all data assets.
- Support data exchange and processing solutions including ETL, APIs and integration layers.
- Contribute to the ongoing improvement of data platforms and architectures.
- Stay up to date with emerging technologies and provide input into the organisation’s data and AI technology roadmap.
Experience with SQL technologies such as MS SQL or Oracle. Strong data exchange and processing experience including ETL, ESB and API-based integrations. Development experience, ideally using Python. Knowledge of big data technologies such as the Hadoop stack. Awareness or hands-on experience with Generative AI solutions. Background in an industrial and/or defence environment. Proven experience working as a Data Engineer or in a closely related role. Strong understanding of data management, data quality and governance principles. Experience designing secure and maintainable data solutions. Eligibility to meet UK security clearance requirements.
This position offers a lucrative benefits package, which includes but is not inclusive of:
- Bonus scheme (based on company performance).
- Annual pay reviews and promotion reviews (based on personal performance).
- Overtime paid at an enhanced rate.
- Pension scheme (total contribution of up to 14%).
- Subsidised site facilities and restaurants.
- Free parking.
- Excellent career progression and training / career development opportunities.
If this role looks like your next challenge, please contact Keelan ASAP or apply via this advert!
Senior Engineer, Data Engineering in Bolton employer: Eclectic Recruitment Ltd
Contact Detail:
Eclectic Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering in Bolton
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Generative AI. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and big data technologies. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of data governance and compliance standards. Be ready to discuss how you've ensured data quality in past roles – it’s a hot topic!
✨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 proactive about their job search.
We think you need these skills to ace Senior Engineer, Data Engineering in Bolton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your experience with SQL technologies, data pipelines, and any relevant projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our needs. Don’t forget to mention your experience with Generative AI and big data technologies!
Showcase Your Technical Skills: In your application, be sure to highlight your technical skills, especially in Python, ETL processes, and data governance. We love seeing specific examples of how you've used these skills in past roles, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Let’s get you on board!
How to prepare for a job interview at Eclectic Recruitment Ltd
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data management, governance principles, and the specific technologies mentioned in the job description. Be ready to discuss your experience with SQL, ETL processes, and any big data technologies you've worked with, especially if they relate to Generative AI.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about times when you designed secure and maintainable data solutions or optimised data usage for internal stakeholders. This will demonstrate your ability to contribute effectively to the team.
✨Stay Current with Emerging Technologies
Familiarise yourself with the latest trends in data engineering and Generative AI. Being able to discuss recent advancements or tools you've explored can set you apart from other candidates and show your enthusiasm for the field.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data architecture, the team you'll be working with, and how they measure success in this role. This not only shows your interest but also helps you gauge if the company is the right fit for you.