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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 specialising in digital innovation.
- Benefits: Competitive salary, hybrid working model, and opportunities for professional growth.
- Why this job: Make a real impact by building scalable data solutions that drive success.
- Qualifications: Proven experience in Data Engineering and expertise in Google Cloud Platform.
- Other info: Collaborative culture with strong focus on problem-solving and communication.
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).
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 Reading employer: Retelligence
Contact Detail:
Retelligence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Reading
✨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
When you get the chance to chat with potential employers, don’t hold back on showcasing your expertise. Talk about your experience with GCP, data pipelines, and any cool projects you've worked on. Let them see the real you and how you can add value!
✨Tailor Your Approach
Every company is different, so make sure you tailor your conversations to align with their goals. Research their data needs and challenges, and come prepared with ideas on how you can help them achieve their objectives as a Senior Data Engineer.
✨Apply Through Us!
Don’t forget to apply through our website! We’ve got a streamlined process that makes it easy for you to showcase your skills and get noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer in Reading
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. Don’t forget to mention specific technologies you've worked with, like Kafka or Airflow, to grab our attention.
Showcase Your Projects: If you've worked on any interesting data projects, make sure to include them! Whether it's a personal project or something from your previous job, we love seeing real-world applications of your skills. It gives us insight into your problem-solving abilities.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team at StudySmarter!
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 optimised 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 had to ensure data quality or optimise performance under pressure. This will demonstrate your ability to thrive in a fast-paced environment.
✨Communicate Clearly and Confidently
Since strong communication is key for this role, practice explaining your technical decisions in simple terms. You might be asked to collaborate with non-technical teams, so being able to articulate your ideas clearly will set you apart.
✨Understand the Business Context
Research the company’s strategic objectives and think about how your work as a Senior Data Engineer can support these goals. Being able to align your technical expertise with their business needs will show that you're not just a techie, but a valuable partner in their growth.
