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- Tasks: Design and optimise algorithms for pricing and forecasting in a data-driven environment.
- Company: Join a leading SaaS platform in a complex, regulated industry.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact by building scalable solutions with cutting-edge technology.
- Qualifications: Strong Python skills and experience with distributed data processing.
- Other info: Collaborative culture with opportunities for mentorship and technical leadership.
The predicted salary is between 48000 - 72000 £ per year.
We’re hiring a Senior Algorithm Engineer to join a data-intensive SaaS platform operating in a complex, regulated industry. This is a hands-on senior IC role focused on building and optimising distributed data pipelines that power pricing, forecasting and billing calculations at scale.
What you’ll be doing:
- Design, build and deploy algorithms/data models supporting pricing, forecasting and optimisation use cases in production.
- Develop and optimise distributed Spark / PySpark batch pipelines for large-scale data processing.
- Write production-grade Python workflows implementing complex, explainable business logic.
- Work with Databricks for job execution, orchestration and optimisation.
- Improve pipeline performance, reliability and cost efficiency across high-volume workloads.
- Collaborate with engineers and domain specialists to translate requirements into scalable solutions.
- Provide senior-level ownership through technical leadership, mentoring and best-practice guidance.
Key experience required:
- Proven experience delivering production algorithms/data models (forecasting, pricing, optimisation or similar).
- Strong Python proficiency and modern data stack exposure (SQL, Pandas/NumPy + PySpark; Dask/Polars/DuckDB a bonus).
- Build, schedule and optimise Spark/PySpark pipelines in Databricks (Jobs/workflows, performance tuning, production delivery).
- Hands-on experience with distributed systems and scalable data processing (Spark essential).
- Experience working with large-scale/high-frequency datasets (IoT/telemetry, smart meter, weather, time-series).
- Clear communicator able to influence design decisions, align stakeholders and operate autonomously.
Nice to have:
- Energy/utilities domain exposure.
- Cloud ownership experience (AWS preferred, Azure also relevant).
- Experience defining microservices / modular components supporting data products.
Senior Algorithm Engineer (Python/Spark–Distributed Processing) in England employer: Xcede
Contact Detail:
Xcede Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Algorithm Engineer (Python/Spark–Distributed Processing) in England
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and Spark. We want to see how you’ve tackled real-world problems and optimised data pipelines.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing coding challenges and discussing your past experiences with algorithms and data models.
✨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 are proactive about their job search.
We think you need these skills to ace Senior Algorithm Engineer (Python/Spark–Distributed Processing) in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Algorithm Engineer role. Highlight your experience with Python, Spark, and distributed data processing. We want to see how your skills align with what we’re looking for!
Showcase Your Projects: Include specific projects where you've built or optimised data pipelines. We love seeing real-world examples of your work, especially if they relate to pricing, forecasting, or optimisation. This helps us understand your hands-on experience!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to describe your experience and achievements. We appreciate clarity, and it makes it easier for us to see your potential fit!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Xcede
✨Know Your Algorithms
Make sure you brush up on your knowledge of algorithms and data models, especially those related to pricing, forecasting, and optimisation. Be ready to discuss specific examples from your past work where you've designed or optimised these models, as this will show your hands-on experience.
✨Show Off Your Python Skills
Since strong Python proficiency is a must, prepare to demonstrate your coding skills during the interview. You might be asked to solve a problem on the spot, so practice writing clean, efficient code that implements complex business logic. Familiarise yourself with libraries like Pandas and NumPy, as well as PySpark.
✨Familiarity with Spark is Key
Given the focus on distributed data processing, make sure you can talk about your experience with Spark and Databricks. Be prepared to discuss how you've built, scheduled, and optimised Spark/PySpark pipelines in the past, including any performance tuning you've done.
✨Communicate Clearly
As a senior engineer, you'll need to influence design decisions and align stakeholders. Practice articulating your thoughts clearly and concisely. Think about how you can explain complex technical concepts in a way that non-technical team members can understand, as this will showcase your communication skills.
