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For Companies At a Glance
- 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 team culture with opportunities for mentorship and technical leadership.
The predicted salary is between 48000 - 72000 £ per year.
Overview
Location: UK (O/IR35) / Belgium / Netherlands / Germany (B2B)
Working model: Remote
Start: ASAP
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. This is not an ML / Data Science / GenAI role.
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 Grimsby 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 Grimsby
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with distributed data processing. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best Python and Spark projects. This is your chance to demonstrate your expertise in building and optimising data pipelines, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Databricks and how you've tackled performance tuning in past projects. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Algorithm Engineer (Python/Spark–Distributed Processing) in Grimsby
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and Spark, especially in building and optimising distributed data pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about algorithm engineering and how your background fits our needs. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Technical Skills: When filling out your application, be specific about your technical expertise. Mention your experience with Databricks, production-grade Python workflows, and any work with large-scale datasets. We’re looking for those details!
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’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Xcede
✨Know Your Algorithms
Make sure you brush up on the algorithms and data models relevant to pricing, forecasting, and optimisation. Be ready to discuss your past experiences in delivering production algorithms and how they impacted business outcomes.
✨Show Off Your Python Skills
Since strong Python proficiency is key, prepare to demonstrate your coding skills. 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 Spark
Get comfortable with building and optimising Spark/PySpark pipelines, especially in Databricks. Be prepared to discuss your experience with performance tuning and how you've improved pipeline efficiency in previous roles.
✨Communicate Clearly
As a senior engineer, you'll need to influence design decisions and align stakeholders. Practice articulating your thought process and technical decisions clearly, as this will showcase your ability to collaborate effectively with engineers and domain specialists.
