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For Companies At a Glance
- Tasks: Design and maintain high-performance data systems while ensuring seamless data integration.
- Company: Join a forward-thinking organisation focused on digital innovation.
- Benefits: Competitive salary, hybrid working model, and opportunities for professional growth.
- Why this job: Make a real impact by leading the development of cutting-edge data solutions.
- Qualifications: Extensive experience in Data Engineering and proficiency in Google Cloud Platform.
- Other info: Collaborative environment with strong focus on problem-solving and career advancement.
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
- System Architecture & Development: Lead the design, development, and maintenance of scalable, high-performance, real-time data pipelines and core infrastructure components within the cloud environment.
- Data Integration: Ensure seamless, low-latency data flow by integrating and unifying diverse data sources across the organization.
- Data Modeling & Quality: Build and optimize robust data models specifically for complex querying and analytical use cases, and ensure data quality, integrity, and security across all systems.
- Reliability & Monitoring: Construct highly available, fault-tolerant systems for high-volume data ingestion and processing, implementing effective monitoring, logging, and alerting mechanisms.
- Performance Optimization: Continuously monitor, tune, and optimize pipeline scalability and performance to meet stringent throughput and latency standards.
- Cross-Functional Alignment: Partner directly with technical and business teams to ensure the data infrastructure directly supports strategic objectives.
Required Technical Expertise
- Production Experience: 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.
- Cloud Platform Specialization: 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. (While AWS knowledge is valuable, GCP expertise is primary.)
- Distributed Streaming: Strong familiarity with distributed streaming technologies, such as Kafka or similar platforms.
- Programming & Scripting: Expert proficiency in Python for development, coupled with the ability to optimize and refactor data pipelines for improved performance and scalability.
- Database Expertise: 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.
- Workflow Orchestration: 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 Slough employer: Retelligence
Contact Detail:
Retelligence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. 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 data engineering projects, especially those involving GCP and real-time 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. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience with cloud platforms and data integration, and let us know why you're excited about the role.
We think you need these skills to ace Senior Data Engineer in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with GCP, data pipelines, and any relevant projects that showcase your skills. 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. Let us know what excites you about working at StudySmarter.
Showcase Your Technical Skills: Be specific about your technical expertise in your application. Mention your experience with Python, SQL, and any orchestration tools you've used. We love seeing concrete examples of your work!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Retelligence
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical skills listed in the job description. Brush up on your experience with Google Cloud Platform, distributed streaming technologies like Kafka, and your Python programming skills. Be ready to discuss specific projects where you’ve successfully built and managed real-time data pipelines.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your problem-solving abilities, especially in high-pressure situations. Think of times when you had to optimise data pipelines or troubleshoot issues in a production environment. This will demonstrate your capability to thrive in a fast-paced setting.
✨Communicate Clearly and Effectively
Since this role requires strong communication skills, practice explaining complex technical concepts in simple terms. You might be asked to collaborate with non-technical teams, so being able to articulate your ideas clearly is crucial. Consider doing mock interviews to refine your delivery.
✨Understand the Company’s Vision
Research the company’s goals and how the data engineering team fits into their overall strategy. Be prepared to discuss how your work can directly support their objectives. Showing that you understand their mission will set you apart as a candidate who is genuinely interested in contributing to their success.
