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