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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 focused on digital transformation and growth.
- Benefits: Competitive salary, hybrid working model, and opportunities for professional development.
- Why this job: Make a real impact by building scalable data solutions in a dynamic environment.
- Qualifications: Extensive experience in Data Engineering, especially with Google Cloud Platform and Python.
- Other info: Collaborative culture with strong career advancement potential.
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
- The successful candidate will own the technical development and strategic execution of the core data platform, ensuring high quality, performance, and security.
- 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
- This role demands a deep, production-level background. Candidates must demonstrate proficiency in the following essential areas:
- 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 City of London employer: Retelligence
Contact Detail:
Retelligence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, attend meetups, and engage in online forums. 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 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 distributed streaming technologies.
We think you need these skills to ace Senior Data Engineer in City of 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 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 your experience with distributed streaming technologies like Kafka!
Showcase Your Technical Skills: In your application, be sure to highlight your technical expertise, especially in SQL and data modeling. We’re looking for someone who can hit the ground running, so let us know how you've successfully managed production-grade data systems in the past.
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 don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Retelligence
✨Know Your Data Inside Out
Make sure you brush up on your data engineering fundamentals, especially around real-time data pipelines and cloud platforms like GCP. Be ready to discuss specific projects where you've designed or optimised data systems, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare examples of challenges you've faced in previous roles, particularly around data integration and performance optimisation. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for interviewers to see how you tackle complex issues.
✨Familiarise Yourself with the Tools
Since this role requires knowledge of tools like Kafka, Apache Airflow, and Python, make sure you can speak confidently about your experience with these technologies. If you’ve worked on any projects involving these tools, be ready to dive into the details.
✨Communicate Clearly and Collaboratively
As a Senior Data Engineer, you'll need to work closely with both technical and business teams. Practice explaining complex technical concepts in simple terms, and be prepared to discuss how you've successfully collaborated across departments in the past.