6 of 6 Data Engineer Jobs in Liverpool

the hunt for builders . No, we've not ventured into construction in our quest to conquer the world, rather a designer and builder of systems for all things data related where we are conquering the Data World. We can offer an interesting insight into projects spanning a variety of sectors, which may include industries such as telecoms … ready to explore our dynamic team where you can truly act as an expert in your field in support of our clients and their challenges in the world of data and technology, read on! The Team We're Intuita - a fast growing consultancy that's making waves in both the consultancy and technology space. With our ambitious goals for … have working across our business, becoming a pivotal part of our journey, to not just meet, but continuously exceed our client expectations! The Role We are seeking a skilled Data Engineer(s) to join our team, ideally initially on a contract basis, however longer term there is potential to discuss longer term opportunities in the shape of a More ❯

Location: Worcester Duration: 6 month initial contract Rate: (Outside IR35) Security: Active DV clearance required Role details: We are looking for 3 x Data Engineers to join our defence & security client on a contract basis. You will helpdesign, develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi These roles … are supporting our clients team in Worcester (fully onsite), and requires active UK DV clearance. Key Responsibilities: Design, develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi Implement data ingestion, transformation, and integration processes, ensuring data quality and security Collaborate with data architects and security teams to … ensure compliance with security policies and data governance standards Manage and monitor large-scale data flows in real-time, ensuring system performance, reliability, and data integrity Develop robust data models to support analytics and reporting within secure environments Perform troubleshooting, debugging, and performance tuning of data pipelines and the Elastic Stack Build dashboards and visualisations More ❯

AWS Data Engineer - Manchester - Hybrid We're working with a global insurance company that's redefining the industry through technology. As a key end user of AWS, they're leveraging cloud-native solutions and advanced analytics to transform how they serve millions of customers. They're looking for Data Engineers who are passionate about building scalable data platforms and want to be part of a forward-thinking team. You'll work on modern data pipelines, cloud infrastructure, and real-time analytics projects that directly impact business outcomes. As an AWS Data Engineer, you'll play a critical role in building and maintaining our cloud-based data infrastructure. You'll work closely with … data scientists, analysts, and other engineers to design, develop, and deploy scalable data solutions on the AWS platform. The client operates with a hybrid working model, with two days per week in their Manchester office. Responsibilities: -Design, build, and maintain data pipelines using AWS services such as S3, Glue, Lambda, and Redshift. -Implement data governance and More ❯

SENIOR DATA ENGINEER £65,000-£70,000 + BENEFITS PRIMARILY REMOTE A leading company in the retail industry is seeking a proactive Data Engineer to join their innovative team. THE COMPANY: This is a well-established brand driven by an ambitious vision. They are currently investing in their data team, and are looking for a … Data Engineer to help gather requirements and build solutions. THE ROLE: A Data Engineer will need to: Work closely with stakeholders across the business Manage data warehouse end-to-end (gathering requirements and building solutions) Helping to build data models YOUR SKILLS AND EXPERIENCE: A successful Data Engineer will have the following More ❯

Lead Data Engineer - Remote - UK About the Role: We're hiring on behalf of a fast-growing, tech-driven organisation looking for a Lead Data Engineer to take ownership of their data infrastructure. This is a fully remote role open to candidates based anywhere in the UK. You'll lead the design and development of … scalable data pipelines, mentor a small team of engineers, and work closely with cross-functional teams to deliver high-impact data solutions. Key Responsibilities: Architect and maintain robust data pipelines using AWS services (Glue, Lambda, S3, Airflow) Lead the migration and optimisation of data workflows into Snowflake. Collaborate with analysts, data scientists, and product teams … to deliver clean, reliable data. Define and enforce best practices in data engineering and governance. Mentor junior engineers and contribute to a culture of technical excellence Requirements: Proven experience in a Lead or Senior Data Engineering role Strong hands-on expertise with AWS (Glue, Lambda, S3) Deep experience with Snowflake as a data warehouse. Proficiency in Python More ❯

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 More ❯