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- Tasks: Design and optimise data pipelines and storage solutions for a leading software business.
- Company: Join an ambitious software company with contracts from top global mobile network operators.
- Benefits: Enjoy a hybrid work model and competitive salary between £50,000 - £60,000.
- Why this job: Be part of a growing team and develop your career in a dynamic environment.
- Qualifications: Experience in data architecture, real-time streaming, and programming skills in Python or Java required.
- Other info: This is an exclusive role; apply ASAP for immediate consideration.
The predicted salary is between 40000 - 48000 £ 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. Appointed to help them source a Data Engineer, 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. They are looking for candidates who can come in at a key point in their growth and develop their career as they grow.
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.
✨Tip Number 3
Prepare to discuss real-world examples of how you've designed and optimised data pipelines in previous roles. Highlighting your problem-solving skills and ability to work under pressure will make you stand out.
✨Tip Number 4
Stay updated on the latest trends and best practices in data engineering, particularly around data security and compliance. Showing that you're proactive about continuous learning can impress potential employers.
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 job description. Focus on your expertise in data architectures, real-time data streaming technologies, and any specific tools mentioned like Kafka or PostgreSQL.
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 how your previous experiences have prepared you to design and optimize data pipelines effectively.
Showcase Relevant Projects: If you have worked on projects involving high-performance databases or big data frameworks, include these in your application. Describe your role and the impact of your contributions to demonstrate your capabilities.
Highlight Soft Skills: In addition to technical skills, emphasise your ability to collaborate with teams, manage data security, and uphold compliance. These soft skills are crucial for working in a dynamic environment like the one described in the job posting.
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 to face scenario-based questions that assess your problem-solving skills. Think about challenges you've encountered 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 that you're genuinely interested in contributing to their success.
✨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 facilitated seamless data integration and flow across teams.
