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For Companies At a Glance
- Tasks: Design and build high-performance data pipelines and search capabilities.
- Company: Leading SaaS business at the forefront of digital transformation.
- Benefits: Competitive salary, benefits package, and flexible remote/hybrid work options.
- Why this job: Join a forward-thinking team and work on impactful projects with cutting-edge technologies.
- Qualifications: Strong experience in data engineering, Elasticsearch, and Java or Python development.
- Other info: Opportunities for mentorship and career growth in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Senior Search Data Engineer – Software – Leading SaaS Business
Full-time · Permanent · Remote/Hybrid (Glasgow-based office)
A leading SaaS business at the forefront of digital transformation is seeking an experienced Senior Search Data Engineer – Software to join its growing data team. As the company scales its next-generation platform, data is central to delivering fast, accurate, and intelligent user experiences. This is a fantastic opportunity to play a key role in shaping a modern data and search infrastructure using cutting-edge technologies.
About the Role
You’ll be part of an agile, cross-functional team building a powerful data platform and intelligent search engine. The company is focused on improving search and categorisation functionality, and the ideal candidate will have a data engineering background, with hands-on experience in developing search tools and working with vector databases.
You’ll work with technologies like Apache Lucene, Solr, and Elasticsearch, contributing to the design and development of scalable systems. Strong experience in developing and optimising indexing solutions within Elasticsearch is particularly important, as this is a key focus area for the team. While platform-level optimisation is useful, the role demands deeper expertise in building and tuning indexing strategies to support advanced search capabilities.
There will also be opportunities to explore machine learning, AI-driven categorisation models, and vector search—all key components of this year’s roadmap. A background in data science within a production environment would be highly valuable, especially if paired with experience in Java or Python.
What You’ll Be Doing
- Design and build high-performance data pipelines and search capabilities
- Develop solutions using Apache Lucene, Solr, or Elasticsearch
- Optimise Elasticsearch indexing strategies for performance and relevance
- Implement scalable, test-driven code in Java and Python
- Work collaboratively with Business Analysts, Data Engineers, and UI Developers
- Contribute across the stack – from React/TypeScript front end to Java-based backend services
- Leverage cloud infrastructure including Azure Data Factory, Batch Services, and Azure SQL
- Participate in code reviews, DevOps practices, and system performance tuning
Your Profile
- Strong experience in data engineering, with a focus on search tools and vector databases
- Proven expertise in Elasticsearch indexing and search optimisation
- Experience in large-scale data processing and building search functionality
- Skilled with SQL and NoSQL databases
- Comfortable working in Agile environments and following DevOps and CI/CD practices
- Experience in Java development, with some exposure to Python
- Committed to writing maintainable, well-tested code
- Excellent attention to detail and problem-solving skills
- Strong verbal and written communication, including the ability to write technical documentation
- Ability to mentor junior engineers and contribute to a collaborative team environment
Why This Role?
- Be part of a forward-thinking, technically strong team
- Work on impactful projects using modern data, search, and ML/AI technologies
- Join a culture that promotes innovation, learning, and cross-functional collaboration
- Competitive salary and benefits package
- Opportunity to work with cutting-edge tools in a fast-paced SaaS environment
- Contribute to a platform trusted by leading organisations in the life sciences sector
Location & Flexibility
This role can be based remotely or hybrid.
- Remote: Must be willing to travel to the Glasgow office at least once per quarter
- Hybrid: Minimum one day per week in the Glasgow office
If you\\\’re passionate about scalable data engineering, intelligent search technologies, and making a real impact—we’d love to hear from you.
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Senior Search Data Engineer employer: Eden Scott
Contact Detail:
Eden Scott Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Search Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those involving Elasticsearch or data pipelines. It’s a great way to demonstrate your expertise beyond the CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to data engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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 hearing from passionate candidates like you!
We think you need these skills to ace Senior Search Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Search Data Engineer role. Highlight your experience with Elasticsearch, Apache Lucene, and any relevant data engineering projects. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Be sure to mention any experience with machine learning or AI-driven projects, as these are key areas for us.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in your application. Mention your proficiency in Java and Python, and any hands-on experience with vector databases. We love seeing candidates who can demonstrate their coding prowess!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, it helps us keep track of your application!
How to prepare for a job interview at Eden Scott
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Elasticsearch, Apache Lucene, and Solr. Brush up on your indexing strategies and be ready to discuss how you've optimised search functionalities in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering, particularly around search tools and vector databases. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Demonstrate Collaboration
Since this role involves working with cross-functional teams, be ready to talk about your experience collaborating with Business Analysts, Data Engineers, and UI Developers. Share instances where your teamwork led to successful project outcomes.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to data engineering and their future projects involving machine learning and AI. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
