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- Tasks: Build robust data pipelines and collaborate with engineers and data scientists.
- Company: Join Crossing Hurdles, a leader in AI research collaboration.
- Benefits: Earn up to $100K/year with remote work flexibility and training support.
- Why this job: Make an impact in the AI field while developing your skills.
- Qualifications: Experience in data engineering, SQL, and Python required.
- Other info: Dynamic team with opportunities for career growth and innovation.
The predicted salary is between 28800 - 48000 £ per year.
At Crossing Hurdles, we work as a referral partner. We refer candidates to our partner that collaborates with the world's leading AI research labs to build and train cutting-edge AI models.
Role Responsibilities:
- Build robust data pipelines to ingest, transform, and consolidate data from diverse sources including MongoDB, Airtable, PostHog, and production databases.
- Design dbt models and transformations to unify disparate data tables into clean, production‐ready schemas.
- Implement scalable, fault‐tolerant workflows using Fivetran, dbt, SQL, and Python.
- Collaborate with engineers, data scientists, and business stakeholders to ensure data availability, accuracy, and usability.
- Own data quality and reliability across the entire data stack from ingestion to consumption.
- Continuously improve pipeline performance, monitoring, and scalability.
Requirements:
- Proven experience in data engineering with strong proficiency in SQL and Python.
- Experience using modern data stack tools like Fivetran, dbt, Snowflake, or similar platforms.
- Skilled in building and maintaining large-scale ETL/ELT pipelines across heterogeneous data sources and platforms.
- Strong understanding of data modeling, schema design, and transformation best practices.
- Familiarity with data governance, monitoring, and quality assurance tools and processes.
- Ability to work effectively across engineering, product, and operations teams.
- Bonus: prior experience supporting machine learning workflows or analytics platforms.
- Access to a desktop or laptop computer (Chromebooks are not supported).
Application Process:
- Upload resume.
- Participate in AI interview (10 min).
Seniority level: Mid-Senior level
Employment type: Full-time
Industries: Information Services, Data Infrastructure and Analytics, IT System Data Services
Software Engineer | $100K/year Remote in London employer: Crossing Hurdles
Contact Detail:
Crossing Hurdles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer | $100K/year Remote in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend virtual meetups, and engage with professionals on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those interviews! Research common questions for software engineers and practice your answers. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 3
Showcase your skills! Create a portfolio of your projects or contributions to open-source software. This gives potential employers a taste of what you can do, and we love seeing candidates who take initiative!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talented individuals like you to join our team at Crossing Hurdles!
We think you need these skills to ace Software Engineer | $100K/year Remote in London
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights the skills and experiences that match the job description. We want to see how your background in data engineering aligns with our needs, so don’t be shy about showcasing your SQL and Python prowess!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for data engineering and any relevant projects you've worked on. We love hearing about your journey and what drives you!
Showcase Relevant Projects: If you’ve worked on any cool data pipelines or ETL processes, make sure to mention them! We’re keen to see examples of your work, especially if they involve tools like Fivetran or dbt. It helps us understand your hands-on experience.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our platform!
How to prepare for a job interview at Crossing Hurdles
✨Know Your Tech Stack
Make sure you’re familiar with the tools mentioned in the job description, like SQL, Python, Fivetran, and dbt. Brush up on your skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data engineering. Think of examples where you built robust data pipelines or improved performance. This will demonstrate your ability to tackle real-world problems.
✨Understand the Company’s Mission
Research Crossing Hurdles and their partner's work in AI. Knowing their goals and how your role contributes can help you align your answers with their vision, making you a more appealing candidate.
✨Practice Your Communication Skills
Since collaboration is key in this role, practice explaining complex technical concepts in simple terms. This will show that you can effectively communicate with engineers, data scientists, and business stakeholders alike.
