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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 Worcester employer: Retelligence
Contact Detail:
Retelligence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Worcester
✨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
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 love seeing candidates who are genuinely interested in joining us! Make sure to apply through our website for the best chance of landing that Senior Data Engineer role. It shows you’re serious about being part of our team.
We think you need these skills to ace Senior Data Engineer in Worcester
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 like GCP, 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. Be sure to mention specific technologies you've worked with that are relevant to the role.
Showcase Your Technical Skills: In your application, don't shy away from showcasing your technical expertise. Mention your proficiency in Python, SQL, and any experience with distributed streaming technologies. We love seeing candidates who can hit the ground running!
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 don’t miss out on any important updates. 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 optimised real-time data systems.
✨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 sure to articulate your ideas clearly during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and how the data engineering team fits into their overall goals. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
