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For Companies At a Glance
- Tasks: Lead the design and development of high-performance data solutions using modern technologies.
- Company: Dynamic tech company with a focus on innovative data engineering.
- Benefits: Competitive salary, flexible working locations, and opportunities for professional growth.
- Why this job: Make an impact by transforming ambitious ideas into scalable data systems.
- Qualifications: Proven experience in data engineering with expertise in Scala, Python, and big data frameworks.
- Other info: Exciting projects in a collaborative environment with excellent career advancement potential.
The predicted salary is between 90000 - 105000 £ per year.
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 in Manchester 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 in Manchester
✨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 hunt for a Senior Data Engineer role. 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 involving Spark, Scala, and Python. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've tackled complex data challenges in the past and how you can bring that expertise to their team.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Senior Data Engineer in Manchester
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 data engineering projects you’ve led or contributed to. Describe the challenges you faced and how you overcame them. This helps us understand your problem-solving skills and technical expertise.
Craft a Compelling Cover Letter: Your cover letter should tell us why you’re passionate about data engineering and how you can contribute to our team. Be sure to mention any relevant experience in financial services or fraud detection if you have it!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you into our system quickly!
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 skills in Scala, Python, and any big data frameworks like Databricks. Be ready to discuss specific projects where you've built and optimised data pipelines, as this will show your hands-on experience.
✨Understand the Business Context
Prepare to translate complex business problems into technical solutions. Think of examples where you've collaborated with stakeholders to deliver scalable systems, as this will demonstrate your ability to bridge the gap between tech and business.
✨Familiarise Yourself with the Tools
If you have experience with tools like Quantexa or DevOps pipelines, be sure to highlight that. Knowing how to work with Docker, Kubernetes, and cloud-native solutions will set you apart, so be ready to discuss your familiarity with these technologies.
✨Showcase Your Leadership Skills
As a Senior Data Engineer, you'll need to lead projects. Prepare examples of how you've led data engineering or integration projects in the past, focusing on your role in guiding teams and driving successful outcomes.
