At a Glance
- Tasks: Design and build data pipelines, develop AI solutions, and improve data quality.
- Company: Join Bitrecruit, a forward-thinking tech company in West Yorkshire.
- Benefits: Enjoy 25 days holiday, private medical insurance, and a supportive work environment.
- Other info: Great career growth opportunities in a rapidly evolving field.
- Why this job: Make an impact with AI while growing your skills in a dynamic team.
- Qualifications: Experience in data engineering and strong Python/SQL skills required.
The predicted salary is between 50000 - 65000 £ per year.
Location: West Yorkshire, England, United Kingdom
Company: Bitrecruit
Responsibilities:
- Design, build, and maintain data pipelines that collect, clean, transform, and structure data from multiple sources.
- Develop data architecture and models that support reporting, analytics, automation, and AI use cases.
- Identify opportunities to use AI to analyse data, automate manual work, improve decision-making, and support business growth.
- Build and deploy AI-powered solutions such as classification, summarisation, forecasting, anomaly detection, and intelligent workflow tools.
- Work closely with business and technical stakeholders to understand requirements and translate them into scalable data and AI solutions.
- Improve the quality, accessibility, and reliability of company data for current and future use.
- Support the development of the company's longer-term AI and data strategy.
- Evaluate tools, technologies, and platforms that strengthen our data and AI capabilities.
- Establish best practices for data management, experimentation, model deployment, and documentation.
- Ensure appropriate governance, security, and responsible use of data and AI systems.
Qualifications:
- Experience in data engineering, analytics engineering, machine learning engineering, or AI engineering roles.
- Strong Python and SQL skills.
- Experience building and maintaining ETL or ELT pipelines.
- Strong understanding of data modelling, data transformation, and data quality.
- Experience working with cloud platforms and modern data infrastructure.
- Hands-on experience applying AI or machine learning to real business problems.
- Experience handling both structured and unstructured data.
- Ability to work across the full lifecycle from data ingestion to production-ready AI solutions.
- Strong communication skills and ability to work with cross-functional teams.
Preferred:
- Experience with LLMs and related tooling.
- Familiarity with vector databases, embeddings, retrieval systems, or AI workflow orchestration.
- Experience with BI and reporting platforms.
- Experience deploying models or AI systems into production environments.
- Familiarity with MLOps, data governance, and responsible AI practices.
- Experience in a growing business where data capability is still being developed.
Benefits:
- 25 days holiday rising to 30 with each year of service.
- Private Medical Insurance covering dental and optical.
- Company pension scheme.
- Life Assurance – 4× your annual salary.
- 1 day paid volunteering per year.
- Enhanced maternity/paternity offerings.
- Employee Assistance Programme.
- Cycle to work scheme.
- On-site gym.
AI Data Engineer employer: Occupop
At Bitrecruit, we pride ourselves on being an exceptional employer, offering a dynamic work environment in West Yorkshire that fosters innovation and collaboration. Our commitment to employee growth is evident through comprehensive benefits such as 25 days of holiday, private medical insurance, and a supportive culture that encourages professional development and community engagement. Join us to be part of a forward-thinking team where your contributions to AI and data engineering will drive meaningful business impact.
StudySmarter Expert Advice🤫
We think this is how you could land AI Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data engineering space on LinkedIn or at local meetups. 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 projects, especially those involving data pipelines or AI solutions. 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 technical questions related to Python, SQL, and data modelling. Practise explaining your past projects and how they relate to the role you're applying for.
✨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 AI Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Data Engineer role. Highlight your experience with data pipelines, Python, and SQL, and don’t forget to mention any hands-on AI projects you've worked on. We want to see how your skills match what we're looking for!
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 AI. Share specific examples of how you've tackled challenges in previous roles. We love seeing your personality come through!
Showcase Your Projects:If you've got any relevant projects or case studies, make sure to include them. Whether it's a personal project or something from work, we want to see how you've applied your skills in real-world scenarios. It helps us understand your approach and creativity!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re genuinely interested in joining our team at StudySmarter!
How to prepare for a job interview at Occupop
✨Know Your Data Pipelines
Make sure you understand the ins and outs of data pipelines, especially ETL and ELT processes. Be ready to discuss your experience with building and maintaining these pipelines, as well as any challenges you've faced and how you overcame them.
✨Showcase Your AI Skills
Prepare to talk about specific AI projects you've worked on. Highlight how you've applied machine learning to solve real business problems, and be ready to explain the impact of your solutions on decision-making and business growth.
✨Communicate Effectively
Since this role involves working closely with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Think of examples where you've successfully collaborated across teams and how you ensured everyone was on the same page.
✨Stay Updated on Tools and Technologies
Familiarise yourself with the latest tools and platforms relevant to data engineering and AI. Be prepared to discuss any new technologies you've evaluated or implemented, and how they could enhance data capabilities within the company.
