26 to 50 of 193 Apache Jobs in London

PostgreSQL, PowerBI, Problem Management, Prometheus, Python, React, ServiceNow ITSM, ServiceNow-Event Management, ServiceNow(ITOM ITSM and other) Functional Testing, Shell Scripting, Splunk, SpringBoot, Tomcat-Apache, VB.Net, Websphere, Windows Server More ❯

British-born sole UK National with active SC or DV Clearance • Strong Java skills, familiarity with Python • Experience in Linux, Git, CI/CD, Apache NiFi • Knowledge of Oracle, MongoDB, React, Elasticsearch • Familiarity with AWS (EC2, EKS, Fargate, S3, Lambda) If you do not meet all requirements still feel More ❯

mocking frameworks, and Git version control. Experienced in Agile (SCRUM) development, relational (Oracle) and NoSQL (Mongo) databases. Familiar with GitLab CI/CD Pipelines, Apache NiFi, and Atlassian Suite (Bitbucket, Jira, Confluence). Knowledge of JavaScript/TypeScript, React, Elasticsearch, Kibana, Hibernate, JSF (PrimeFaces), and AWS cloud services. Skilled More ❯

mocking frameworks, and Git version control. Experienced in Agile (SCRUM) development, relational (Oracle) and NoSQL (Mongo) databases. Familiar with GitLab CI/CD Pipelines, Apache NiFi, and Atlassian Suite (Bitbucket, Jira, Confluence). Knowledge of JavaScript/TypeScript, React, Elasticsearch, Kibana, Hibernate, JSF (PrimeFaces), and AWS cloud services. Skilled More ❯

Infra tooling using Terraform, Ansible and Jenkins whilst automating everything with Python Tech (experience in any listed is advantageous) Python Cloud: AWS Lake house: Apache Spark or AWS Glue Cloud Native storage: Iceberg, RDS, RedShift, Kafka IaC: Terraform, Ansible CI/CD: Jenkins, Gitlab Other platforms such as Databricks More ❯

Infra tooling using Terraform, Ansible and Jenkins whilst automating everything with Python Tech (experience in any listed is advantageous) Python Cloud: AWS Lake house: Apache Spark or AWS Glue Cloud Native storage: Iceberg, RDS, RedShift, Kafka IaC: Terraform, Ansible CI/CD: Jenkins, Gitlab Other platforms such as Databricks More ❯

Agile (Scrum) methodologies Database experience with Oracle and/or MongoDB Experience using the Atlassian suite : Bitbucket, Jira, and Confluence Desirable Skills Knowledge of Apache NiFi Front-end development with React (JavaScript/TypeScript) Working knowledge of Elasticsearch and Kibana Experience developing for cloud environments, particularly AWS (EC2, EKS More ❯

Agile (Scrum) methodologies Database experience with Oracle and/or MongoDB Experience using the Atlassian suite : Bitbucket, Jira, and Confluence Desirable Skills Knowledge of Apache NiFi Front-end development with React (JavaScript/TypeScript) Working knowledge of Elasticsearch and Kibana Experience developing for cloud environments, particularly AWS (EC2, EKS More ❯

services experience is desired but not essential. API development (FastAPI, Flask) Tech stack : Azure, Python, Databricks, Azure DevOps, ChatGPT, Groq, Cursor AI, JavaScript, SQL, Apache Spark, Kafka, Airflow, Azure ML, Docker, Kubernetes and many more. Role Overview: We are looking for someone who is as comfortable developing AI/ More ❯

services experience is desired but not essential. API development (FastAPI, Flask) Tech stack : Azure, Python, Databricks, Azure DevOps, ChatGPT, Groq, Cursor AI, JavaScript, SQL, Apache Spark, Kafka, Airflow, Azure ML, Docker, Kubernetes and many more. Role Overview: We are looking for someone who is as comfortable developing AI/ More ❯

Java development with strong Spring Boot expertise. Solid background in building cloud-native applications , particularly using AWS services such as S3, SQS, Kinesis, or Apache Flink. Strong knowledge of stream processing , low-latency systems, and microservice architectures. Demonstrated leadership experience, including mentoring and guiding junior developers. Proficient in designing More ❯

Java development with strong Spring Boot expertise. Solid background in building cloud-native applications , particularly using AWS services such as S3, SQS, Kinesis, or Apache Flink. Strong knowledge of stream processing , low-latency systems, and microservice architectures. Demonstrated leadership experience, including mentoring and guiding junior developers. Proficient in designing More ❯

pipelines. Exceptional troubleshooting and debugging skills. Good to have: Experience with designing and implementing integration solutions for event/data streaming. Experience working with Apache Superset. Start-up experience. Exposure to Payments domain - ideally sanctions screening. What You Get in Return: Impactful Work: Be part of a growing startup More ❯

or a similar language. Proficiency in database technologies (SQL, NoSQL, time-series databases) and data modelling. Strong understanding of data pipeline orchestration tools (e.g., Apache Airflow, Kubernetes). You thrive when working as part of a team. Comfortable in a fast-paced environment. Have excellent written and verbal English More ❯

and scaling data systems. Highly desired experience with Azure, particularly Lakehouse and Eventhouse architectures. Experience with relevant infrastructure and tools including NATS, Power BI, Apache Spark/Databricks, and PySpark. Hands-on experience with data warehousing methodologies and optimization libraries (e.g., OR-Tools). Experience with log analysis, forensic More ❯

Python. Experience in data modelling and design patterns; in-depth knowledge of relational databases (PostgreSQL) and familiarity with data lakehouse formats (storage formats, e.g. Apache Parquet, Delta tables). Experience with Spark, Databricks, data lakes/lakehouses. Experience working with external data suppliers (defining requirements for suppliers, defining Service More ❯

e.g., Refinitiv, Bloomberg). Data Platforms: Warehouses: Snowflake, Google BigQuery, or Amazon Redshift. Analytics: Tableau, Power BI, or Looker for client reporting. Big Data: Apache Spark or Hadoop for large-scale processing. AI/ML: TensorFlow or Databricks for predictive analytics. Integration Technologies: API Management: Apigee, AWS API Gateway More ❯

e.g., Refinitiv, Bloomberg). Data Platforms: Warehouses: Snowflake, Google BigQuery, or Amazon Redshift. Analytics: Tableau, Power BI, or Looker for client reporting. Big Data: Apache Spark or Hadoop for large-scale processing. AI/ML: TensorFlow or Databricks for predictive analytics. Integration Technologies: API Management: Apigee, AWS API Gateway More ❯

Python. Experience in data modelling and design patterns; in-depth knowledge of relational databases (PostgreSQL) and familiarity with data lakehouse formats (storage formats, e.g. Apache Parquet, Delta tables). Experience with Spark, Databricks, data lakes/lakehouses. Experience working with external data suppliers (defining requirements for suppliers, defining Service More ❯

or all of the services below would put you at the top of our list Google Cloud Storage Google Data Transfer Service Google Dataflow (Apache Beam) Google PubSub Google CloudRun BigQuery or any RDBMS Python Debezium/Kafka dbt (Data Build tool) Interview process Interviewing is a two way More ❯

Modelling: Designing dimensional, relational, and Document data lineage and recommend improvements for data ownership and stewardship. Qualifications Programming: Python, SQL, Scala, Java. Big Data: Apache Spark, Hadoop, Databricks, Snowflake, etc. Cloud: AWS (Glue, Redshift), Azure (Synapse, Data Factory More ❯

MiFID II or EMIR Experience building real-time applications based on a messaging paradigm Experience building large-scale data processing pipelines (for e.g. using Apache Spark, etc) Experience building Highly Available and High Performance applications Experience of FIX messaging protocol FX Options/Derivatives experience Senior Python Developer More ❯

MiFID II or EMIR Experience building real-time applications based on a messaging paradigm Experience building large-scale data processing pipelines (for e.g. using Apache Spark, etc) Experience building Highly Available and High Performance applications Experience of FIX messaging protocol FX Options/Derivatives experience Senior Python Developer More ❯

/CD process to ensure standards and processes are uniformly upheld Java (ideally version 8+), database, C#, .Net Multi-threading Junit Maven Logging frameworks Apache libraries GOF Patterns MS SQL Server/SQL & PL Experience in Kafka is a plus Experience in Monitoring solutions - Azure Insights/Grafana etc. More ❯

orchestration tools (e.g., Docker, Kubernetes). Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation). Experience with development, ETL tools, and frameworks (e.g., Apache Airflow, Talend, Fivetran). Proficiency in SQL and experience with Python, Java, or Scala. Familiarity with cloud platforms (AWS, GCP, Azure) and associated data More ❯