2 of 2 Data Ingestion Jobs in Liverpool

Data Engineer – Financial Services | Strong Kafka/Streaming Focus- Liverpool/Hybrid – Up to £75K (DOE) Our client, an innovative and rapidly expanding Financial Services organization, is seeking a Data Engineer to join their highly technical data team. This is a unique opportunity to be part of a forward-thinking company where data is central to … strategic decision-making. We’re looking for someone who brings hands-on experience in streaming data architectures, particularly with Apache Kafka and Confluent Cloud, and is eager to shape the future of scalable, real-time data pipelines. You’ll work closely with both the core Data Engineering team and the Data Science function, bridging the gap … between model development and production-grade data infrastructure. What You’ll Do: Design, build, and maintain real-time data streaming pipelines using Apache Kafka and Confluent Cloud. Architect and implement robust, scalable data ingestion frameworks for batch and streaming use cases. Collaborate with stakeholders to deliver high-quality, reliable datasets to live analytical platforms and machine More ❯

Pro currently has an exciting opportunity for a motivated and detail-oriented individual to join its Insurance Services team as a Data Analyst within the Digital Services area. The job holder will be involved in building data mapping processes for various bordereaux (both Risk and Claims) using data ingestion and analysis tools such as Intrali, Quantemplate … or Matillion. The project focuses on the extraction, transformation, and loading (ETL) of data from various sources into data warehouses and data lakes. This is an ideal role for an aspiring Data Architect in the Insurance Industry. Pro operates a hybrid working policy, with time split between home and our Gloucester or Liverpool office. This vacancy … is also suitable for a fully remote individual, as we support home working. Main Duties and Responsibilities Data collection and processing; gathering data from various sources, pre-processing, and preparing datasets for analysis. Creation and management of both Risk and Claims data maps (models) and reconciliation of results. Processing tasks accurately and efficiently, in line with client More ❯