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- Tasks: Lead the design and development of high-performance data solutions.
- Company: Dynamic tech company focused on innovative data engineering.
- Benefits: Competitive salary, flexible locations, and opportunities for professional growth.
- Why this job: Make a real impact by transforming ambitious ideas into scalable systems.
- Qualifications: Proven experience in data engineering with expertise in Scala, Python, and big data frameworks.
- Other info: Collaborative environment with a focus on cutting-edge technologies.
The predicted salary is between 90000 - 105000 £ per year.
The Role: Senior Data Engineer
Salary - £90k - £105k
Location - Various major Cities Across the UK - Must be UK resident - Sorry, No sponsorship
As a Senior Data Engineer, you’ll lead the design and development of high-performance data solutions — from ingestion and transformation through to integration and insight. You’ll work directly with architects, engineers, and business stakeholders to turn ambitious ideas into scalable, production-ready systems.
What You’ll Do
- Build and optimise data pipelines using modern technologies like Spark, Scala, and Python.
- Design and implement data models, entity resolution logic, and network-based insights.
- Collaborate with architects and DevOps specialists to deliver scalable, cloud-native data solutions.
- Translate complex business problems into efficient technical architectures.
- Work across data, cloud, and security teams to deliver seamless enterprise integration.
What You’ll Bring
- Proven experience leading data engineering or integration projects for enterprise clients.
- Deep technical expertise in Scala, Python, and Databricks (or similar big data frameworks).
- Strong understanding of data modelling, ETL design, and distributed systems.
- Experience with data tools such as Quantexa is a must.
- Bonus skills: Experience with Financial Services, Fraud Detection, AML, or KYC solutions.
- Familiarity with DevOps pipelines (Jenkins, GitHub Actions, Azure DevOps).
- Hands-on knowledge of Docker, Kubernetes, and data governance frameworks.
- Degree in Computer Science, Data Engineering, or a related technical field.
For more information, apply here or email me at r.kelly@ltharper.com
Senior Data Engineer employer: LT Harper - Cyber Security Recruitment
Contact Detail:
LT Harper - Cyber Security Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Scala, Python, and data pipelines. 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 problem-solving skills. Be ready to discuss your experience with data modelling and ETL design, as well as how you've tackled complex business problems in the past.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Scala, Python, and any big data frameworks you've worked with. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific examples of projects where you've led data engineering initiatives. We love seeing how you've turned complex business problems into scalable solutions, so don’t hold back on the details!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to emphasise your key achievements. We appreciate straightforward communication!
Apply Through Our Website: For the best chance of getting noticed, apply through our website. It’s the easiest way for us to track your application and ensure it gets to the right people. We can’t wait to hear from you!
How to prepare for a job interview at LT Harper - Cyber Security Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Scala, Python, and Spark. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've translated complex business problems into technical solutions. Think of examples where your data models or ETL designs made a significant impact on a project.
✨Collaboration is Key
Since you'll be working with architects and DevOps specialists, be ready to share experiences that highlight your teamwork skills. Discuss how you’ve collaborated across teams to deliver scalable solutions.
✨Familiarise Yourself with the Company’s Needs
Research the company’s focus areas, especially if they relate to Financial Services, Fraud Detection, or KYC solutions. Tailor your responses to show how your experience aligns with their goals and challenges.
