Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and optimize data pipelines using Python, Spark, and MS Azure.
- Company: Redslim transforms data into insights for global clients since 2013.
- Benefits: Enjoy a hybrid work model, competitive package, and full onboarding support.
- Why this job: Join a dynamic team where your ideas matter and drive innovation.
- Qualifications: 4+ years in data engineering with expertise in Python, Spark, and cloud platforms.
- Other info: Fluent English is essential; experience in consumer data or AI/ML is a bonus.
Senior Data Engineer Salary/Rate: £75,000 – £90,000 per annum + Bonus Location: North London Company: Retelligence About Retelligence Retelligence is partnering with a high-growth, forward-thinking organization that specializes in digital innovation and marketing across international markets. The company is on an exciting journey, rapidly scaling its capabilities and leveraging advanced technology to deliver cutting-edge solutions. Join a dynamic team within a business that values innovation, supports professional development, and offers exceptional career progression. The Role Retelligence is seeking a Senior Data Engineer to design and deliver robust, real-time data pipelines and infrastructure in a Google Cloud Platform (GCP) environment. The company is particularly interested in candidates with strong expertise in SQL. Key Responsibilities: * Design, develop, and maintain scalable, data pipelines and infrastructure in a GCP environment. * Integrate multiple data sources to ensure seamless real-time data flow across the organization. * Build and optimize data models for querying and analytics use cases. * Develop fault-tolerant, highly available data ingestion and processing pipelines. * Continuously monitor and improve pipeline performance for low-latency and high-throughput operations. * Ensure data quality, integrity, and security across all systems. * Implement effective monitoring, logging, and alerting mechanisms. About You * Strong hands-on experience in data engineering with expertise in Python. * Proven track record of building and managing real-time data pipelines. * In-depth experience with Google Cloud Platform (GCP) and its associated tools for data ingestion and processing. * Familiarity with distributed streaming platforms such as Kafka or similar technologies. * Advanced knowledge of SQL. * Experience with data orchestration tools. * Ability to optimize and refactor data pipelines for improved performance and scalability. * Strong problem-solving skills and the ability to thrive in a collaborative, fast-paced environment
Senior Data Engineer employer: Retelligence
Contact Detail:
Retelligence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarize yourself with the specific tools mentioned in the job description, like Python, Spark, MS Azure, and Databricks. Having hands-on experience or projects showcasing your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Highlight your problem-solving abilities by preparing examples of complex challenges you've tackled in previous roles. Be ready to discuss how you approached these problems and the impact of your solutions during the interview.
✨Tip Number 3
Research Redslim's current projects and clients to understand their needs better. This knowledge will allow you to tailor your responses and demonstrate how your skills can directly benefit their operations.
✨Tip Number 4
Emphasize your collaborative mindset and communication skills. Since the role involves working closely with stakeholders, showcasing your ability to work in a team and communicate effectively will be crucial in making a strong impression.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Data Engineer position at Redslim. Tailor your application to highlight your relevant experience with data pipelines, Python, Spark, and cloud platforms.
Highlight Relevant Experience: In your CV and cover letter, emphasize your 4+ years of experience in data engineering. Provide specific examples of projects where you've developed robust data solutions or worked with clients to deliver tailored outcomes.
Showcase Problem-Solving Skills: Redslim values strong problem-solving abilities. Include instances in your application where you've successfully tackled complex challenges, particularly in data integration or ETL processes.
Communicate Your Passion: Express your enthusiasm for data engineering and continuous learning in your cover letter. Mention any relevant certifications or courses you've completed that demonstrate your commitment to staying updated with industry best practices.
How to prepare for a job interview at Retelligence
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, Spark, and cloud platforms like MS Azure and Databricks. Highlight specific projects where you developed data pipelines or solved complex challenges using these technologies.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills. Prepare examples of how you've tackled difficult issues in past roles, particularly in data engineering or ETL processes.
✨Communicate Effectively
Since collaboration is key at Redslim, practice articulating your thoughts clearly. Be ready to explain technical concepts in a way that non-technical stakeholders can understand, showcasing your exceptional communication skills.
✨Express Your Passion for Learning
Redslim values a mindset geared towards continuous learning. Share instances where you've pursued new knowledge or skills, especially in relation to data technologies or industry best practices.
