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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 developing your skills in a supportive environment.
- Qualifications: Experience in SQL, Python, and data management principles required.
- Other info: Work in a collaborative culture with opportunities for 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 Stevenage 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 Stevenage
✨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 that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data 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 technical knowledge and soft skills. Be ready to discuss how you've tackled data quality and governance issues in the past, as well as your experience with ETL and API integrations.
✨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 Stevenage
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 candidates who are up-to-date with emerging technologies, so feel free to share any relevant certifications or courses you've completed.
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. Plus, we love seeing applications come through our own platform!
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 SQL technologies, ETL processes, and big data tools like the Hadoop stack. Be ready to discuss how you've used these in past projects, especially in relation to Generative AI solutions.
✨Showcase Your Collaboration Skills
This role involves working closely with internal stakeholders, so be prepared to share examples of how you've successfully collaborated in previous roles. Highlight any experiences where you optimised data usage or met specific data requirements.
✨Demonstrate Your Problem-Solving Abilities
Think of specific challenges you've faced in data engineering and how you overcame them. This could include designing secure data solutions or ensuring compliance with data governance standards. Be ready to explain your thought process.
✨Stay Current with Emerging Technologies
The field of data engineering is always evolving, especially with advancements in AI. Show your enthusiasm for learning by discussing recent trends or technologies you've explored, and how they could benefit the organisation's data roadmap.