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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 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 strategic 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 Manchester employer: Retelligence
Contact Detail:
Retelligence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Manchester
✨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; showcase it! Create a portfolio of projects or contributions to open-source platforms that highlight your expertise in data engineering. This gives potential employers a tangible sense of what you can do.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding of data pipelines. Practice common interview questions related to GCP, Python, and SQL. Remember, confidence is key, so show them you know your stuff!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Engineer in Manchester
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. Mention specific tools and technologies you've worked with, especially those related to data integration and orchestration. We love seeing real-world examples of your work!
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 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.
✨Understand the Business Context
Familiarise yourself with the company's goals and how the data engineering team supports them. Being able to articulate how your work aligns with their strategic objectives will show that you're not just a techie but also a team player.
✨Practice Clear Communication
Since this role involves cross-functional collaboration, practice explaining complex technical concepts in simple terms. Good communication is key, so be prepared to demonstrate your ability to convey ideas effectively.
