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- Tasks: Join a dynamic team to develop AI/ML-powered data pipelines and enhance data processes.
- Company: Leading Insurtech company in Bristol with a hybrid work culture.
- Benefits: Flexible working, competitive salary, and opportunities for continuous learning.
- Why this job: Make an impact in the exciting world of AI/ML and data engineering.
- Qualifications: 3+ years experience in data engineering and strong Python skills required.
- Other info: Collaborative environment with excellent career growth potential.
The predicted salary is between 36000 - 60000 £ per year.
A leading Insurtech company in Bristol is seeking a skilled and versatile Data Engineer / Software Engineer to join their dynamic team. This hybrid role requires at least two days a week in the office, supporting the company's continued growth. They are looking for a talented, enthusiastic individual to help drive the development and enhancement of AI/ML-powered data enrichment pipelines and processes.
The ideal candidate will have strong Python skills, a creative problem-solving mindset, and a passion for working with cutting-edge AI/ML systems and models.
Key Responsibilities:- Optimize and Enhance Pipelines: Continuously evaluate, refine, and improve the performance of data enrichment pipelines to ensure they are efficient, reliable, and scalable.
- Data Management: Design and implement robust data cleaning, ingestion, and preparation processes to support analytical and machine learning models.
- Collaborative Problem-Solving: Work closely with data scientists to identify, troubleshoot, and resolve complex issues, ensuring seamless and efficient operations.
- Model Development and Deployment: Contribute to the development, training, monitoring, and deployment of state-of-the-art machine learning models.
- Innovation and Continuous Learning: Stay updated on the latest advancements in data processing, AI/ML, and apply these innovations to improve internal systems.
- Flexible Engineering Approach: Collaborate across various engineering roles, such as backend technologies and API development, often outside the traditional scope of data engineering.
- Education: Bachelor's degree (or equivalent) in computer science, mathematics, or a related field.
- Experience: Minimum of 3 years in a similar role, with proven success in developing and deploying machine learning models or data pipelines.
- Technical Skills: Strong proficiency in Python, with hands-on experience in PySpark or Pandas.
- Software Engineering Expertise: Knowledge of modern software engineering practices, including coding standards, testing, and deployment best practices.
- Problem-Solving: Strong analytical and problem-solving abilities, especially related to data quality and model performance improvements.
- Creativity and Innovation: Demonstrated ability to think creatively and independently deliver innovative solutions.
- Production ML Experience: Hands-on experience deploying and maintaining machine learning models in production environments.
- Advanced Techniques: Familiarity with gradient boosting methods and large-scale text embedding models.
- Tool Proficiency: Experience working with Databricks, Git, CI/CD pipelines, and advanced software testing approaches.
- ML Expertise: Deep knowledge of machine learning techniques and best practices in model development.
- GPU Optimization: Experience in converting and optimizing CPU-based models and algorithms to run efficiently on GPUs is a plus.
Data Engineer in Bristol employer: Adecco
Contact Detail:
Adecco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 projects, especially those involving AI/ML and data pipelines. 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 your Python skills and understanding the latest trends in data engineering. Practice common interview questions and be ready to discuss your problem-solving approach in detail.
✨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 in Bristol
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 Python expertise and any relevant projects you've worked on, especially those involving AI/ML.
Craft a Compelling Cover Letter: Use your cover letter to showcase your passion for data engineering and problem-solving. Mention specific examples of how you've optimised data pipelines or collaborated with data scientists in the past.
Showcase Your Projects: If you've got hands-on experience with machine learning models or data pipelines, don’t hold back! Include links to your GitHub or any relevant projects that demonstrate your skills and creativity.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to see your application and get you into the process quickly. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Adecco
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any relevant tools like PySpark or Pandas. Be ready to discuss your past projects and how you've used these technologies to solve real-world problems.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data issues in the past. Think about specific challenges you faced, the steps you took to resolve them, and the outcomes. This will demonstrate your analytical mindset and creativity.
✨Collaborate Like a Pro
Since this role involves working closely with data scientists, be prepared to discuss how you’ve collaborated in the past. Highlight any experiences where teamwork led to successful project outcomes, especially in AI/ML contexts.
✨Stay Ahead of the Curve
Research the latest trends in AI/ML and data engineering. Bring up any recent advancements that excite you during the interview. This shows your passion for continuous learning and innovation, which is key for this role.
