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- Tasks: Join a dynamic team to design ETL pipelines and develop RESTful APIs using Python.
- Company: Be part of an innovative AI start-up transforming the deals space with cutting-edge technology.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for face-to-face collaboration.
- Why this job: Contribute to impactful AI projects while working in a supportive and forward-thinking environment.
- Qualifications: Strong Python skills, experience with databases, and a passion for AI are essential.
- Other info: This role is fully remote within the UK, perfect for tech-savvy individuals ready to make a difference.
The predicted salary is between 54000 - 126000 £ per year.
Job Description
- Design and maintain ETL pipelines
- Integrate data from internal and external sources
- PostgreSQL queries and schemas
- Support AI/LLM features
- Optimise storage and query performance
Software:
- Coding with Python
- Back-end systems and API integrations
- Developing RESTful API's
- Utilise agile methodology
Requirements
- Strong skills with relational and NoSQL databases such as DynamoDB
- Strong Python development experience with emphasis on back-end work
- Solid experience with REST API principles, versioning and schema-driven development
- Exposure to ETL pipelines and analytics tools
- Exposure with AI/LLMs and vector stores
- You must be a team player and collaborator
Data & Software Engineer employer: Ada Meher
Contact Detail:
Ada Meher Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Software Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and data engineering. Being knowledgeable about current technologies and methodologies will not only help you in interviews but also show your genuine interest in the field.
✨Tip Number 2
Network with professionals in the AI and software engineering sectors. Attend relevant meetups or webinars to connect with others in the industry, which could lead to valuable insights and potential referrals.
✨Tip Number 3
Brush up on your Python skills, especially focusing on back-end development and RESTful APIs. Consider working on personal projects or contributing to open-source projects to demonstrate your capabilities.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges related to data structures and algorithms. This will help you feel more confident and ready to tackle any technical questions that may arise during the interview process.
We think you need these skills to ace Data & Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data engineering, Python development, and RESTful APIs. Use specific examples that demonstrate your skills in these areas, as well as any relevant projects you've worked on.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their focus on AI and data integration. Be sure to include why you are interested in working for a start-up and how you can contribute to their mission.
Showcase Relevant Projects: If you have worked on projects involving ETL pipelines, AI, or back-end systems, be sure to include these in your application. Describe your role in these projects and the technologies you used, particularly focusing on Python and database management.
Highlight Team Collaboration: Since the role requires being a team player, mention any experiences where you collaborated with others on technical projects. This could include teamwork in coding, problem-solving, or contributing to agile methodologies.
How to prepare for a job interview at Ada Meher
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, ETL pipelines, and database management. Bring examples of past projects where you've successfully implemented these skills, as this will demonstrate your capability to handle the responsibilities of the role.
✨Understand the Company’s AI Focus
Research the start-up's use of AI in their processes. Familiarise yourself with how AI can enhance data engineering and software development, and be ready to share your thoughts on potential improvements or innovations you could bring to their AI journey.
✨Prepare for Behavioural Questions
As a team player, expect questions about collaboration and problem-solving. Think of specific instances where you worked effectively in a team or overcame challenges, as this will highlight your interpersonal skills and adaptability.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's culture, their approach to AI, and future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
