Data Engineer

Warrington
2 days ago
Applications closed

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Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

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

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