4 of 4 Apache Jobs in the City of London

Data Engineer

Hiring Organisation
Huxley Associates
Location
City of London, London, United Kingdom
Employment Type
Contract
Contract Rate
£500/hour
focus areas: Building scalable data pipelines using Apache Spark & Airflow Working within a cloud-based, containerised environment (Kubernetes) Contributing to a wider data platform modernisation programme Supporting both batch and streaming workloads Tech: Python, Java, Spark, Airflow, SQL, Cloud (AWS/Azure), Kubernetes (Kafka/streaming nice to have ...

Java Data Engineer

Hiring Organisation
Tank Recruitment
Location
City of London, London, United Kingdom
Employment Type
Contract
work on a Big Data Project in the finance sector. Required Experience: Java Big Data experience On-premises cluster experience Databases Kubernetes Kafka Apache Spark Preffered Experience: Finance sector experience ...

Java Data Engineer (6 month Contract/Hybrid London/Inside IR35)

Hiring Organisation
Tank Recruitment
Location
City of London, London, United Kingdom
Employment Type
Contract
work on a Big Data Project in the finance sector. Required Experience: Java Big Data experience On-premises cluster experience Databases Kubernetes Kafka Apache Spark Preffered Experience: Finance sector experience ...

Databricks Data Solutions Architect

Hiring Organisation
83zero Limited
Location
City of London, London, United Kingdom
Employment Type
Permanent, Work From Home
designing and delivering modern data platforms, working closely with clients and technical teams to build scalable, secure and high-performing solutions using Databricks, Apache Spark and cloud technologies. You'll also play a key role in pre-sales activities, solution design, and helping to drive strategic Databricks initiatives across … Databricks and modern data platform delivery. Skills & Experience Required 7+ years' experience in Data Architecture or Solution Architecture. Strong commercial experience with Databricks and Apache Spark . Experience delivering enterprise data platforms on AWS, Azure or GCP. Strong understanding of data warehousing, data lakes and lakehouse architectures. Experience designing ...