At a Glance
- Tasks: Develop systems for efficient access to evaluation verdicts and create durable datasets.
- Company: Deepstreamtech, a forward-thinking tech company in Greater London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team focused on innovation and collaboration.
- Why this job: Make a real impact on product quality while working with cutting-edge technologies.
- Qualifications: Strong experience in Python, SQL, and familiarity with big data systems and AWS.
The predicted salary is between 60000 - 80000 € per year.
Deepstreamtech in Greater London is seeking a Software Engineer to develop systems that enable various teams to efficiently access eval verdicts and create durable datasets. You will build a simulator for user interactions and implement monitoring to maintain data trust.
The ideal candidate has strong experience in Python and SQL, familiarity with big data systems, and knowledge of AWS. This role offers the opportunity to impact the quality of answers provided by the product dramatically.
Staff Software Engineer — Data & Evaluation Pipelines in London employer: Deepstreamtech
Deepstreamtech is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from a strong focus on professional development, with ample opportunities for growth and learning in cutting-edge technologies like big data and AWS. Join us to make a meaningful impact on our products while enjoying a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Software Engineer — Data & Evaluation Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Deepstreamtech on LinkedIn or other platforms. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio showcasing your Python and SQL projects, make sure to share it during interviews. It’s a great way to demonstrate your expertise in data systems.
✨Tip Number 3
Prepare for technical interviews by brushing up on big data concepts and AWS. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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 take that extra step!
We think you need these skills to ace Staff Software Engineer — Data & Evaluation Pipelines in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, SQL, and big data systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about the role and how you can contribute to building those durable datasets. Keep it engaging and personal – we love to see your passion!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in previous roles, especially related to data trust and monitoring. We’re looking for candidates who can think critically and innovate solutions.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Stack
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss your experience with big data systems and AWS, as these are crucial for the role. Prepare examples of projects where you've used these technologies to solve real problems.
✨Understand the Company’s Mission
Take some time to research Deepstreamtech and understand their goals, especially around data access and evaluation. This will help you align your answers with their mission and show that you're genuinely interested in contributing to their success.
✨Prepare for Technical Questions
Expect technical questions related to data pipelines and monitoring systems. Practice explaining complex concepts in simple terms, as you may need to demonstrate your ability to communicate effectively with non-technical team members.
✨Showcase Your Problem-Solving Skills
Be ready to discuss how you've tackled challenges in previous roles, particularly those involving data trust and user interactions. Use the STAR method (Situation, Task, Action, Result) to structure your responses and highlight your impact.
