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For Companies At a Glance
- Tasks: Design and maintain high-performance data systems in a dynamic, innovative environment.
- Company: Join a forward-thinking organisation leading in digital innovation.
- Benefits: Competitive salary, hybrid working model, and opportunities for professional growth.
- Why this job: Make a real impact by optimising data systems that drive strategic success.
- Qualifications: Proven experience in Data Engineering and expertise in Google Cloud Platform.
- Other info: Collaborative culture with strong focus on problem-solving and career development.
The predicted salary is between 80000 - 100000 £ per year.
This is a critical technical position within a high-growth, forward-thinking organization that specializes in digital innovation. We require an experienced Senior Data Engineer to design, build, and maintain a robust, scalable, and high-performance system that is fundamental to the organization's operational and analytical success.
Core Responsibilities
- Lead the design, development, and maintenance of scalable, high-performance, real-time data pipelines and core infrastructure components within the cloud environment.
- Ensure seamless, low-latency data flow by integrating and unifying diverse data sources across the organization.
- Build and optimize robust data models specifically for complex querying and analytical use cases, and ensure data quality, integrity, and security across all systems.
- Construct highly available, fault-tolerant systems for high-volume data ingestion and processing, implementing effective monitoring, logging, and alerting mechanisms.
- Continuously monitor, tune, and optimize pipeline scalability and performance to meet stringent throughput and latency standards.
- Partner directly with technical and business teams to ensure the data infrastructure directly supports strategic objectives.
Required Technical Expertise
- Extensive hands-on experience in Data Engineering, specifically a proven track record of successfully architecting, building, and managing production-grade real-time data pipelines across multiple large-scale initiatives.
- Mandatory deep, practical experience leveraging Google Cloud Platform (GCP) and its associated tools for the deployment and management of real-time data ingestion and processing services.
- Strong familiarity with distributed streaming technologies, such as Kafka or similar platforms.
- Expert proficiency in Python for development, coupled with the ability to optimize and refactor data pipelines for improved performance and scalability.
- Advanced knowledge of SQL is mandatory, alongside a strong understanding of various database technologies (NoSQL, time-series databases) and deep competence in data modeling principles.
- Strong working knowledge of industry-standard data orchestration tools (e.g., Apache Airflow or Kubernetes).
The Environment: We are seeking a highly collaborative professional with strong problem-solving skills, capable of thriving in a fast-paced environment. Exceptional written and verbal communication skills in English are required for effective technical leadership and documentation.
Senior Data Engineer in Cheltenham employer: Retelligence
Contact Detail:
Retelligence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Cheltenham
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in a Senior Data Engineer role. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of projects or contributions to open-source initiatives that highlight your expertise in data engineering. This gives potential employers a tangible sense of what you can do.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding of data pipelines. Practice common interview questions and scenarios related to GCP, Python, and data modelling. Confidence is key, so get comfortable with articulating your thought process!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior Data Engineer in Cheltenham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data pipelines, cloud platforms, and any relevant projects that showcase your skills in GCP and Python. We want to see how you fit into our vision!
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 your background aligns with our needs. Be sure to mention specific technologies you've worked with, like Kafka or SQL, to grab our attention.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—show us how you've used them to solve real-world problems. Share examples of how you've optimised data pipelines or improved system performance. We love seeing practical applications of your expertise!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It helps us keep track of 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 Retelligence
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially around Google Cloud Platform and data pipeline architecture. Be ready to discuss specific projects where you've built or managed real-time data pipelines, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about times when you optimised performance or ensured data quality, and be ready to explain your thought process and the impact of your solutions.
✨Communicate Clearly and Confidently
Since this role requires strong communication skills, practice explaining technical concepts in a way that's easy to understand. You might be asked to collaborate with non-technical teams, so demonstrating your ability to bridge that gap is key.
✨Understand the Business Context
Research the company’s goals and how the data engineering team supports them. Be prepared to discuss how your work can align with their strategic objectives, showing that you’re not just a techie but also a valuable business partner.
