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- 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 business 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 Wolverhampton employer: Retelligence
Contact Detail:
Retelligence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Wolverhampton
✨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 a CV just can’t.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving GCP and real-time data pipelines. This will give potential employers a clear view of what you can bring to the table.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python and SQL skills. Be ready to discuss your past projects in detail, focusing on how you tackled challenges and optimised performance. Confidence is key!
✨Apply Through Our Website
We’ve got some fantastic opportunities waiting for you! Make sure to apply through our website to ensure your application gets the attention it deserves. We’re excited to see what you can bring to our team!
We think you need these skills to ace Senior Data Engineer in Wolverhampton
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 SQL.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think critically and come up with innovative solutions, especially in fast-paced environments.
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 you’re keen on joining our team at StudySmarter!
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 Google Cloud Platform. 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 to share examples of challenges you've faced in previous roles and how you tackled them. This could involve anything from optimising a slow pipeline to integrating diverse data sources. Companies love to see how you think on your feet!
✨Familiarise Yourself with the Tools
Since this role requires expertise in tools like Apache Airflow and distributed streaming technologies like Kafka, make sure you can speak confidently about your experience with these. If you’ve used similar tools, be ready to draw parallels and explain how they relate.
✨Communicate Clearly and Effectively
As a Senior Data Engineer, you'll need to collaborate with various teams. Practice explaining complex technical concepts in simple terms. This will not only demonstrate your communication skills but also your ability to work cross-functionally.
