Liverpool, England, United Kingdom Hybrid / WFH Options
BJSS
You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge more »
Liverpool, England, United Kingdom Hybrid / WFH Options
BJSS
challenges your customers face and how you can help them. You’ll bring wide experience of the data ecosystem, including: numerous data platforms e.g. Databricks; data modelling approaches; public cloud services including AWS and Azure; a deep knowledge and focus on security and privacy and their applications on data platform more »
Lead Data Engineer, Informatica Liverpool/Hybrid Circa £110k + bonus + benefits Databricks, Informatica, Azure Lead/Senior Data Engineer is required by vibrant Insurance organisation with offices in Liverpool. This is a key role within their data team that will see you driving forward new exciting data initiatives. … mass ingestion capabilities and cloud process flows, data quality and master data management Understanding data related security challenges and tooling with specific technologies (eg Databricks) Experience in migrating data and associated systems from on-prem to cloud environments Consulting and collaborative working style creating a culture of accountability and sharing more »
London, Liverpool, Merseyside, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions
competitive day rate of £250-£400, falling inside IR35 regulations. Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes using AWS, Databricks, Python, Spark, and SQL. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions. Optimize and troubleshoot … Engineer or in a similar role. Strong proficiency in AWS services related to data engineering (e.g., S3, Redshift, Glue). Hands-on experience with Databricks for data processing and analytics. Proficient in Python programming for data manipulation and automation. Solid understanding of Apache Spark for big data processing. Strong SQL more »
