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- Tasks: Design and optimise data pipelines for high-speed processing.
- Company: Join a dynamic software business with global mobile network contracts.
- Benefits: Enjoy hybrid work options and competitive salary up to £60,000.
- Why this job: Be part of a growing team and advance your career in data engineering.
- Qualifications: Experience with data architectures, real-time streaming, and programming skills required.
- Other info: Exclusive role with immediate application consideration.
The predicted salary is between 42000 - 84000 £ per year.
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.
Data Engineer experience we’re looking for:
- 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.
- Proficiency in containerization technologies (Docker, Kubernetes) and infrastructure as code.
- Solid understanding of data security, encryption, and compliance best practices.
Preferred Qualifications:
- Experience working with telecom or financial systems.
- Background in government or defence-sector projects.
This is an exclusive role with a key client. For immediate consideration and full details, please submit an application ASAP.
Data Engineer (Warrington) employer: Focus 5 Recruitment
Contact Detail:
Focus 5 Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Warrington)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Kafka, PostgreSQL, and AWS. Being able to discuss your hands-on experience with these tools during an interview will demonstrate your suitability for the role.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience in telecom or financial systems. Engaging with industry peers can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 3
Prepare to showcase your problem-solving skills by discussing past projects where you designed and optimised data pipelines. Be ready to explain the challenges you faced and how you overcame them, as this will highlight your practical experience.
✨Tip Number 4
Stay updated on the latest trends in data engineering and cloud technologies. Being knowledgeable about current best practices and innovations will not only help you in interviews but also show your commitment to continuous learning in the field.
We think you need these skills to ace Data Engineer (Warrington)
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 that demonstrate your capabilities.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the company's needs. Mention specific technologies you’ve worked with, such as Kafka or AWS, and how they relate to the responsibilities outlined in the job description.
Showcase Relevant Projects: If you have worked on significant projects involving data pipelines, ETL processes, or cloud solutions, summarise these in your application. Highlight your role, the technologies used, and the impact of your work on the project’s success.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Engineer role.
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.
✨Demonstrate Problem-Solving Abilities
Expect scenario-based questions that assess your ability to troubleshoot and optimise data processing systems. Think of challenges you've faced in previous roles and how you overcame them, particularly in high-velocity environments.
✨Understand the Company’s Needs
Research the software business and its recent contracts with mobile network operators. Understanding their goals and challenges will help you tailor your responses and show how you can contribute to their growth.
✨Prepare for Collaboration Questions
Since the role involves working closely with DevOps and software engineering teams, be ready to discuss your experience in collaborative environments. Highlight instances where you successfully integrated data solutions with other teams.
