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For Companies At a Glance
- Tasks: Design and maintain high-performance data systems for a leading digital innovation company.
- Company: Join a forward-thinking organisation at the forefront of digital transformation.
- Benefits: Competitive salary, hybrid working model, and opportunities for professional growth.
- Why this job: Make a real impact by optimising data infrastructure in a dynamic environment.
- Qualifications: Proven experience in Data Engineering, especially with GCP and real-time data pipelines.
- Other info: Collaborative culture 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 London employer: Retelligence
Contact Detail:
Retelligence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in London
✨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. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the role.
We think you need these skills to ace Senior Data Engineer in London
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 real-time data processing.
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 mission at StudySmarter. Be sure to mention your experience with GCP and distributed streaming technologies.
Showcase Your Technical Skills: In your application, don’t shy away from showcasing your technical expertise. Mention specific tools and technologies you’ve worked with, like Python, SQL, and Apache Airflow, to demonstrate your fit for the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
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 your past projects in detail, showcasing how you've built and managed real-time data pipelines.
✨Showcase Your Problem-Solving Skills
Prepare examples of challenges you've faced in previous roles and how you tackled them. This role requires strong problem-solving abilities, so demonstrating your thought process will impress the interviewers.
✨Communicate Clearly and Confidently
Since this position involves cross-functional collaboration, practice explaining complex technical concepts in simple terms. Good communication is key, so be prepared to articulate your ideas clearly during the interview.
✨Research the Company Culture
Understand the company's values and mission. Tailor your responses to show how your experience aligns with their goals, particularly in digital innovation and data-driven decision-making. This will help you stand out as a candidate who fits well within their team.
