practices for greater efficiency and impact. The skills you’ll need to succeed Leadership in data engineering and Agile delivery Advanced knowledge of AWS data services (e.g. S3, Glue, EMR, Lambda, Redshift) Expertise in big data technologies and distributed systems Strong coding and optimisation skills (e.g. Python, Spark, SQL) Data quality management and observability Strategic thinking and solution architecture More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Rise Technical Recruitment Limited
Experience in a data-focused SRE, Data Platform, or DevOps role *Strong knowledge of Apache Flink, Kafka, and Python in production environments *Hands-on AWS experience with AWS (Lambda, EMR, Step Functions, Redshift, etc.) *Comfortable with monitoring tools, distributed systems debugging, and incident response Reference Number: BBBH259303 To apply for this role or for to be considered for further More ❯
infrastructure. What you’ll be doing – your accountabilities Lead the design and implementation of robust, scalable, and secure data solutions using AWS services such as S3, Glue, Lambda, Redshift, EMR, Kinesis, and more—covering data pipelines, warehousing, and lakehouse architectures. Drive the migration of legacy data workflows to Lakehouse architectures, leveraging Apache Iceberg to enable unified analytics and scalable … focus on ETL data processing and scalable data engineering workflows. In-depth technical knowledge of AWS data services, with hands-on experience implementing data pipelines using tools such as EMR, AWS Glue, AWS Lambda, Step Functions, API Gateway, and Athena. Proven experience in designing and delivering Lakehouse architectures, enabling unified analytics across structured and unstructured data. A FEW POINTS More ❯
