At a Glance
- Tasks: Create AI-driven analytics for trading teams using Databricks and modern LLM workflows.
- Company: Dynamic fintech company with a focus on innovation and collaboration.
- Benefits: Competitive daily rate, flexible working hours, and opportunities for professional growth.
- Other info: Hybrid working model with a vibrant team culture.
- Why this job: Join a cutting-edge team and shape the future of trading analytics.
- Qualifications: Expertise in Databricks, Spark, and strong data engineering skills required.
The predicted salary is between 60000 - 80000 £ per year.
Duration: Contract
Workload: Full time hours
Setup: Freelance (Daily rate / Limited Company / Umbrella / Sole Trader)
Location: London - hybrid working
We need an AI Engineer with a strong data engineering core to build AI‑powered analytics for front‑office trading teams using Databricks, Spark, and modern LLM workflows.
Key Responsibilities:
- Design and deliver AI‑driven analytics for traders, including seasonality, correlations, regression, forecasting, and scenario modelling.
- Build scalable, reusable data pipelines in Databricks using PySpark, Spark SQL, Delta Lake, and Unity Catalog.
- Perform statistical and econometric analysis on large market and fundamentals time‑series datasets.
- Work directly with traders and analysts to turn ambiguous questions into production‑ready tools and clear insights.
- Implement LLM and agentic workflows (prompt engineering, LangGraph, MCP, tool calling, retrieval, guardrails).
- Productionise solutions with testing, observability, versioning, documentation, and CI/CD.
Must‑Have Skills:
- Hands‑on Databricks and Spark expertise (PySpark, SQL, Delta, Unity Catalog).
- Strong data engineering background: ingestion, modelling, orchestration, performance tuning.
- Solid statistics/econometrics for market time series.
- Experience building and integrating LLM solutions.
- Excellent communication and stakeholder engagement skills.
Nice‑to‑Have:
- Commodity or financial trading background.
- Knowledge of market microstructure, supply/demand fundamentals, or risk.
Remote Engineer:in (m/w/d) in London employer: Airswift
As a leading employer in the financial technology sector, we offer an innovative and collaborative work environment that empowers our employees to excel in their roles. Our hybrid working model in London provides flexibility while fostering a culture of continuous learning and professional growth, ensuring that our team members are equipped with the latest skills in AI and data engineering. Join us to be part of a dynamic team that values creativity and offers competitive compensation along with opportunities to work on cutting-edge projects.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Engineer:in (m/w/d) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with traders and analysts. 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 Databricks, Spark, and LLMs. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled ambiguous problems and turned them into clear insights, just like you'd do in the role.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Remote Engineer:in (m/w/d) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Databricks, Spark, and LLMs. 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! Use it to explain why you’re passionate about AI-driven analytics and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Your Communication Skills:Since you'll be working closely with traders and analysts, it's crucial to demonstrate your excellent communication skills. We love seeing examples of how you've turned complex data into clear insights in your application.
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 Airswift
✨Know Your Tech Inside Out
Make sure you’re well-versed in Databricks, Spark, and LLM workflows. Brush up on your PySpark and SQL skills, and be ready to discuss how you've used these technologies in past projects. The more specific examples you can provide, the better!
✨Showcase Your Analytical Skills
Prepare to talk about your experience with statistical and econometric analysis. Think of a few scenarios where you’ve turned complex data into actionable insights for traders. This will demonstrate your ability to handle the key responsibilities of the role.
✨Communicate Clearly
Since excellent communication is a must-have skill, practice explaining technical concepts in simple terms. You might be asked to describe how you would approach a problem or project, so being able to articulate your thought process clearly will set you apart.
✨Engage with Stakeholders
Be prepared to discuss how you’ve worked with traders and analysts in the past. Highlight any experiences where you’ve turned ambiguous questions into clear, production-ready tools. This shows that you can bridge the gap between technical and non-technical teams.
