At a Glance
- Tasks: Design and manage data pipelines to support cutting-edge AI modelling.
- Company: Join Unlikely AI, a pioneering deep tech startup transforming the future of AI.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and impact.
- Why this job: Be part of a world-class team tackling complex challenges in AI technology.
- Qualifications: Degree in a related field and strong coding skills in Python or Java.
The predicted salary is between 60000 - 80000 £ per year.
About Unlikely AI
Unlikely AI is a deep tech startup dedicated to creating a world where highly intelligent automated systems benefit humanity. We are pioneering transformative technology aimed at making Artificial Intelligence more accurate, trustworthy, and safe. Founded by William Tunstall-Pedoe, known for his role in the creation of Alexa, the company is based in London and has secured a significant seed round of $20m. We are building a world-class technology team to tackle some of the most difficult technical problems and create extraordinary solutions with huge impact.
About the Role
As a Data Engineer at Unlikely AI, you will work closely with our Applied Science & Engineering team(s), designing ETL jobs and architectures to support their modelling needs and power our platform. You will take ownership of our data pipelines and processes, championing best practices. This role involves working in a cross-functional environment with other Software Engineers, Research Engineers, and Applied Scientists.
Responsibilities
- Design ETL jobs and architectures to support the modelling needs of the Applied Science & Engineering team(s).
- Take ownership of data pipelines and processes.
- Champion best practices in data engineering.
- Collaborate effectively in a cross-functional environment with Software Engineers, Research Engineers, and Applied Scientists.
Required Qualifications
- Degree within a related field, such as Computer Science, Engineering, Physics, Maths, or equivalent.
- Exceptional coding ability (Python/Java).
- Understanding of modern best practices for agile software development, including CI/CD experience (e.g., GitHub actions, CircleCI).
- Understanding of architectural techniques needed to build massively scalable data pipelines/meshes.
- Experience working with orchestration tools (e.g., Apache Airflow, Kubeflow, VertexAI, SageMaker pipelines) & Apache Technologies or equivalents (e.g., Kafka, Airflow, Spark, Parquet).
- Experience working closely with data science teams & understanding the data needs for state-of-the-art Artificial Intelligence.
Desirable Qualifications
- 4+ years of experience in data engineering or a related field.
- Experience with data feature enrichment, such as augmenting NLP data with LLM outputs.
- Data analysis & visualisation skills.
- Experience building scalable containerised systems in AWS/GCP/Azure.
- Experience working with data warehouse tooling (e.g., BigQuery, Redshift).
- Experience working with Terraform.
Working Location
We operate a hybrid scheme with a small office near Holborn tube station available for those who wish to work there. We also have occasional team days for in-person meetings and days for remote work, communicating via Slack and Zoom.
Data Engineer employer: UnlikelyAI
Unlikely AI is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. As a Data Engineer, you will be part of a pioneering team dedicated to developing transformative AI technology, with ample opportunities for professional growth and development. The hybrid working model allows for flexibility, while the supportive environment encourages creativity and the sharing of ideas, making it a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Unlikely AI. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just tell us what you can do; show us! Create a portfolio of your projects, especially those related to data engineering. Share your GitHub link when you apply through our website – we love seeing real-world applications of your skills!
✨Prepare for the Tech Challenge
Brush up on your coding skills and be ready for technical interviews. Practice common data engineering problems and be prepared to discuss your thought process. We want to see how you tackle challenges, so think out loud!
✨Be a Team Player
Since you'll be working in a cross-functional environment, highlight your collaboration skills. Share examples of how you've worked with others in past roles, especially with data science teams. We value teamwork just as much as technical skills!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with ETL jobs, data pipelines, and any relevant coding skills. We want to see how your background aligns with our needs!
Showcase Your Projects:Include any projects that demonstrate your coding ability and understanding of data engineering best practices. If you've worked with orchestration tools or built scalable systems, let us know – we love seeing real-world applications!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're excited about working at Unlikely AI and how you can contribute to our mission. Be genuine and let your personality come through – we’re looking for a good fit!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at UnlikelyAI
✨Know Your Tech Inside Out
Make sure you brush up on your coding skills, especially in Python and Java. Be ready to discuss your experience with ETL processes and data pipelines, as well as any orchestration tools you've used like Apache Airflow or Kubeflow.
✨Showcase Your Collaboration Skills
Since this role involves working closely with cross-functional teams, be prepared to share examples of how you've successfully collaborated with software engineers or data scientists in the past. Highlight your ability to communicate complex ideas clearly.
✨Understand Their Mission
Familiarise yourself with Unlikely AI's vision of creating trustworthy AI systems. Be ready to discuss how your skills can contribute to their goals and how you can help tackle the technical challenges they face.
✨Prepare Questions
Have a few thoughtful questions ready to ask at the end of the interview. This shows your genuine interest in the role and the company. You might ask about their current projects or how they measure success in their data engineering team.
