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For Companies At a Glance
- Tasks: Design and optimise data pipelines for high-speed processing of large data volumes.
- Company: Join a dynamic software business with contracts from top global mobile network operators.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Be part of an ambitious team making a real impact in the tech industry.
- Qualifications: Experience in data architecture, real-time streaming, and programming in Python or Java required.
- Other info: Immediate applications encouraged for this exciting opportunity!
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.
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.
- 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 / Big Data Engineer employer: Focus 5 Recruitment
Contact Detail:
Focus 5 Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer / Big Data Engineer
✨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 work in telecom or financial systems. Engaging with industry experts on platforms like LinkedIn can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your previous projects in detail, particularly those involving high-performance data pipelines and real-time processing. Be ready to explain your role, the challenges faced, and how you overcame them.
✨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 field and make a strong impression.
We think you need these skills to ace Data Engineer / Big Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with high-performance databases and data streaming technologies. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the company's projects. 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 projects involving data pipelines, ETL processes, or big data frameworks, include these in your application. Briefly describe your role and the impact of your contributions to highlight your hands-on experience.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial in data engineering roles.
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 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 will help you tailor your responses and demonstrate how your skills can directly benefit them.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-time data processing and storage optimisation. Think of scenarios where you had to troubleshoot issues or improve performance in previous roles.
✨Emphasise Collaboration Skills
Since the role involves working closely with DevOps and software engineering teams, be ready to discuss your experience in collaborative environments. Highlight any successful projects where teamwork was key to achieving results.
