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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 international 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 that impacts global telecoms while enhancing your data engineering skills.
- 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. 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.
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 Engineers required ASAP employer: Focus 5 Recruitment
Contact Detail:
Focus 5 Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineers required ASAP
✨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 specific challenges you faced and how you overcame them will showcase your problem-solving skills.
✨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 set you apart from other candidates.
We think you need these skills to ace Data Engineers required ASAP
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with technologies mentioned in the job description like Kafka, PostgreSQL, and AWS. Use specific examples to demonstrate your expertise in designing data architectures and managing data pipelines.
Craft a Compelling Cover Letter: Write a cover letter that not only expresses your enthusiasm for the role but also addresses how your skills align with the company's needs. Mention your experience with real-time data processing and any relevant projects you've worked on, especially in telecom or financial systems.
Showcase Technical Skills: In your application, clearly list your technical skills related to data engineering. Include programming languages like Python and Java, as well as your familiarity with big data frameworks such as Spark and Flink. This will help you stand out as a qualified candidate.
Highlight Relevant Experience: If you have experience working on government or defence-sector projects, make sure to highlight this in your application. Companies often value candidates with diverse backgrounds, especially in sectors that require high levels of data security and compliance.
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 worked with cross-functional teams to achieve project goals.
