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- Tasks: Design and optimise data pipelines for high-speed processing of large data volumes.
- Company: Join a dynamic software business with exciting contracts in the mobile network sector.
- Benefits: Enjoy a hybrid work model and competitive salary between £50,000 - £60,000.
- Why this job: Be part of a growing team that impacts global mobile networks and enhances data solutions.
- Qualifications: Experience in data architecture, real-time streaming, and programming in Python or Java required.
- Other info: Immediate applications encouraged for this urgent role!
The predicted salary is between 40000 - 60000 £ per year.
Warrington - Hybrid
£50,000 - £60,000 - Depending on experience
Focus 5 Recruitment are working with an exciting software business to help recruit a Data Engineer. The company have just been awarded 2 large contracts with international Mobile Network Operators. We’re looking for an experienced Data Engineer to design and optimize our client’s data pipelines and storage solutions.
This is an amazing opportunity to work with a growing and ambitious software business who have contracts with some of the world’s leading mobile network companies.
Key responsibilities for the Data Engineer:- Design and build high-performance, low-latency data pipelines capable of processing large volumes of data at high speed.
- Develop and enhance real-time and batch data processing architectures.
- Manage both structured and unstructured data, ensuring efficient ingestion, transformation, and storage.
- Deploy scalable data storage solutions across bare metal and cloud platforms (AWS).
- Optimize databases, data lakes, and messaging systems for maximum throughput and minimal latency.
- Collaborate with DevOps and software engineering teams to maintain seamless data integration and flow.
- Implement monitoring, logging, and alerting systems to track data pipeline performance and integrity.
- Uphold data security and compliance across all environments.
- Demonstrated expertise in designing and deploying data architectures for high-velocity, high-throughput systems.
- Strong proficiency in real-time data streaming technologies such as Kafka, Pulsar, and RabbitMQ.
- Extensive experience with high-performance databases, including PostgreSQL, ClickHouse, Cassandra, and Redis.
- In-depth knowledge of ETL/ELT pipelines, data transformation, and storage optimization.
- Skilled in working with big data frameworks like Spark, Flink, and Druid.
- Hands-on experience with both bare metal and AWS environments.
- Strong programming skills in Python, Java, and other relevant languages.
- Solid understanding of data security, encryption, and compliance best practices.
- Experience working with telecom or financial systems.
- Background in government or defence-sector projects.
For immediate consideration and full details, please submit an application ASAP.
Data Engineer (Urgent) employer: Focus 5 Recruitment
Contact Detail:
Focus 5 Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Urgent)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Kafka, PostgreSQL, and AWS. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience in telecom or financial systems. Engaging with industry experts can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your previous projects in detail, particularly those involving data pipelines and storage solutions. Be ready to explain your thought process, challenges faced, and how you optimised performance in those projects.
✨Tip Number 4
Stay updated on the latest trends and best practices in data engineering, especially regarding data security and compliance. Demonstrating your knowledge of current standards can show your commitment to the role and the industry.
We think you need these skills to ace Data Engineer (Urgent)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Engineer role. Focus on your expertise in data architectures, real-time data streaming technologies, and any specific projects you've worked on that demonstrate your capabilities.
Craft a Compelling Cover Letter: Write a cover letter that not only introduces yourself but also explains why you're passionate about this opportunity. Mention your experience with high-performance databases and big data frameworks, and how they relate to the company's needs.
Showcase Relevant Projects: If you have worked on specific projects that involved designing data pipelines or optimising storage solutions, include these in your application. Use metrics to demonstrate the impact of your work, such as improved processing speeds or reduced latency.
Highlight Soft Skills: In addition to technical skills, emphasise your ability to collaborate with teams, manage data security, and uphold compliance standards. These soft skills are crucial for working effectively in a hybrid environment and will set you apart from other candidates.
How to prepare for a job interview at Focus 5 Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data architectures and the specific technologies mentioned in the job description, such as Kafka, PostgreSQL, and AWS. Bring examples of past projects where you successfully designed and optimised data pipelines.
✨Understand the Company’s Needs
Research the software business and their recent contracts with mobile network operators. Understanding their goals and challenges will help you tailor your responses and demonstrate how you can add value to their team.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-time data processing and data security. Think of scenarios where you had to troubleshoot issues or optimise performance, and be ready to explain your thought process.
✨Emphasise Collaboration Skills
Since the role involves working closely with DevOps and software engineering teams, highlight your experience in collaborative environments. Share examples of how you’ve successfully integrated data solutions with other teams to achieve common goals.
