At a Glance
- Tasks: Lead the design and optimisation of algorithms in a fast-paced SaaS environment.
- Company: Dynamic tech company focused on innovative data solutions.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Mentorship opportunities and a collaborative team culture await you.
- Why this job: Make a real impact by solving complex problems with cutting-edge technology.
- Qualifications: Experience in algorithm design and strong Python skills required.
The predicted salary is between 60000 - 80000 € per year.
I am hiring a Senior Algorithm Engineer to lead the design, optimisation, and scaling of core algorithmic and data solutions within a fast-paced SaaS environment operating across complex, high-volume datasets. This role sits at the intersection of engineering, data, and commercial problem-solving. You will work closely with domain specialists and cross-functional teams to translate real-world business requirements into scalable, production-grade forecasting, pricing, and optimisation solutions. This is a hands-on senior engineering role with strong technical leadership responsibilities. You will contribute to architectural decisions, improve engineering standards, and help shape how critical algorithms are designed, deployed, and maintained across the platform.
Responsibilities
- Design and deliver scalable algorithms for forecasting, pricing, and optimisation across large and complex datasets
- Lead technical direction for high-volume data processing systems, ensuring performance, explainability, reliability, and production readiness
- Work closely with Product, Data, and Delivery teams to translate business requirements into robust engineering solutions
- Support architectural decisions across distributed systems, workflows, and microservices
- Improve system robustness, performance, and scalability across models and processing pipelines
- Mentor engineers through code reviews, documentation, and technical collaboration, helping raise overall engineering standards
Requirements
- Proven experience designing, developing, and deploying algorithms or data models in production environments, particularly across forecasting, pricing, or optimisation use cases
- Strong Python engineering skills alongside modern data tooling such as SQL, Pandas, NumPy, SciPy, Dask, Polars, DuckDB, or PySpark
- Experience building microservices and working within distributed system architectures
- Strong understanding of large-scale or high-frequency data environments such as IoT, sensor, weather, utility, or operational data
- Ability to make technical decisions, influence design direction, and work effectively across engineering and business teams
- Clear communication skills and experience mentoring or guiding other engineers
- Previous SaaS experience preferred; industry-specific domain knowledge is beneficial but not essential
Senior Engineer Electronics employer: Xcede
Join a dynamic and innovative team as a Senior Algorithm Engineer, where you'll have the opportunity to lead cutting-edge projects in a fast-paced SaaS environment. Our company fosters a collaborative work culture that values technical excellence and encourages continuous learning, providing ample opportunities for professional growth and mentorship. With a focus on impactful solutions and a commitment to employee well-being, we offer a rewarding workplace that empowers you to make a real difference in the world of data and engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer Electronics
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant meetups, and engage in online forums. 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 related to algorithms and data solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common algorithm questions and be ready to discuss your past experiences in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Senior Engineer Electronics
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Algorithm Engineer role. Highlight your experience with algorithms, data models, and any relevant SaaS projects. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention specific projects where you've designed scalable algorithms or led technical teams, and show us your passion for engineering.
Showcase Your Technical Skills:Don’t forget to highlight your technical skills in Python and any modern data tools you’ve used. We’re looking for someone who can hit the ground running, so make sure we see your expertise in action!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Xcede
✨Know Your Algorithms
Make sure you brush up on your knowledge of algorithms, especially those related to forecasting, pricing, and optimisation. Be ready to discuss your past experiences in designing and deploying these algorithms, as well as the challenges you faced and how you overcame them.
✨Showcase Your Technical Skills
Prepare to demonstrate your Python engineering skills and familiarity with data tools like SQL, Pandas, and NumPy. You might be asked to solve a problem on the spot, so practice coding challenges that reflect real-world scenarios relevant to the role.
✨Understand the Business Context
Since this role involves translating business requirements into technical solutions, take some time to research the company’s products and services. Think about how your technical expertise can directly impact their business goals and be ready to share your insights during the interview.
✨Be Ready to Lead
As a senior engineer, you'll need to demonstrate your leadership abilities. Prepare examples of how you've mentored other engineers or led projects in the past. Highlight your experience in making architectural decisions and improving engineering standards, as this will show your readiness for the responsibilities of the role.
