26 to 50 of 103 Apache Jobs in London

scalable pipelines, data platforms, and integrations, while ensuring solutions meet regulatory standards and align with architectural best practices. Key Responsibilities: Build and optimise scalable data pipelines using Databricks and Apache Spark (PySpark). Ensure performance, scalability, and compliance (GxP and other standards). Collaborate on requirements, design, and backlog refinement. Promote engineering best practices including CI/CD, code More ❯

scalable pipelines, data platforms, and integrations, while ensuring solutions meet regulatory standards and align with architectural best practices. Key Responsibilities: Build and optimise scalable data pipelines using Databricks and Apache Spark (PySpark). Ensure performance, scalability, and compliance (GxP and other standards). Collaborate on requirements, design, and backlog refinement. Promote engineering best practices including CI/CD, code More ❯

scalable pipelines, data platforms, and integrations, while ensuring solutions meet regulatory standards and align with architectural best practices. Key Responsibilities: Build and optimise scalable data pipelines using Databricks and Apache Spark (PySpark). Ensure performance, scalability, and compliance (GxP and other standards). Collaborate on requirements, design, and backlog refinement. Promote engineering best practices including CI/CD, code More ❯

scalable pipelines, data platforms, and integrations, while ensuring solutions meet regulatory standards and align with architectural best practices. Key Responsibilities: Build and optimise scalable data pipelines using Databricks and Apache Spark (PySpark). Ensure performance, scalability, and compliance (GxP and other standards). Collaborate on requirements, design, and backlog refinement. Promote engineering best practices including CI/CD, code More ❯

warehouse knowledge Redshift and Snowflake preferred Working with IaC - Terraform and Cloud Formation Working understanding of scripting languages including Python and Shell Experience working with streaming technologies inc. Kafka, Apache Flink Experience working with a ETL environments Experience working with a confluent cloud platform Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers More ❯

Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar tools Proficiency in data architecture, data modeling, and scalable storage design Solid engineering practices: Git and CI/CD for data systems Highly Desirable Skills GCP More ❯

Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar tools Proficiency in data architecture, data modeling, and scalable storage design Solid engineering practices: Git and CI/CD for data systems Highly Desirable Skills GCP More ❯

Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar tools Proficiency in data architecture, data modeling, and scalable storage design Solid engineering practices: Git and CI/CD for data systems Highly Desirable Skills GCP More ❯

days a week – based business need. To Be Considered: Demonstrable expertise and experience working on large-scale Data Engineering projects Strong experience in Python/PySpark, Databricks & Apache Spark Hands on experience with both batch & streaming pipelines Strong experience in AWS and associated tooling (Eg, S3, Glue, Redshift, Lambda, Terraform etc) Experience designing Data Engineering platforms from scratch Alongside More ❯

teams to build scalable data pipelines and contribute to digital transformation initiatives across government departments. Key Responsibilities Design, develop and maintain robust data pipelines using PostgreSQL and Airflow or Apache Spark Collaborate with frontend/backend developers using Node.js or React Implement best practices in data modelling, ETL processes and performance optimisation Contribute to containerised deployments (Docker/Kubernetes More ❯

teams to build scalable data pipelines and contribute to digital transformation initiatives across government departments. Key Responsibilities Design, develop and maintain robust data pipelines using PostgreSQL and Airflow or Apache Spark Collaborate with frontend/backend developers using Node.js or React Implement best practices in data modelling, ETL processes and performance optimisation Contribute to containerised deployments (Docker/Kubernetes More ❯

of containerisation and orchestration (e.g., Docker , Kubernetes , OpenShift ). Experience with CI/CD pipelines (e.g., Jenkins, TeamCity, Concourse). Familiarity with web/application servers such as NGINX, Apache, or JBoss. Exposure to monitoring and logging tools (ELK, Nagios, Splunk, DataDog, New Relic, etc.). Understanding of security and identity management (OAuth2, SSO, ADFS, Keycloak, etc.). Experience More ❯

of containerisation and orchestration (e.g., Docker , Kubernetes , OpenShift ). Experience with CI/CD pipelines (e.g., Jenkins, TeamCity, Concourse). Familiarity with web/application servers such as NGINX, Apache, or JBoss. Exposure to monitoring and logging tools (ELK, Nagios, Splunk, DataDog, New Relic, etc.). Understanding of security and identity management (OAuth2, SSO, ADFS, Keycloak, etc.). Experience More ❯

can be outside of the ones mentioned here above. Agile, Scrum, Devops knowledges are assets CISSP and/or OSCP are assets Others PKI knowledge Reverse Proxies: Apache HTTPD, NGINX are assets. Basic networking knowledge (Layer 3, 4) Linux/Unix System Engineer (RedHat) Language: English Soft skills Team player and supporter. Client focus. Open Minded. Eager to learn More ❯

operational dashboards. - Advanced proficiency with Microsoft BI Stack: SSIS, SSRS - Strong SQL Server skills and SQL querying experience - Hands-on experience with Google Cloud Platform tools including: BigQuery; Composer; Apache Airflow; Stream; Informatica; Vertex AI - Tableau dashboard development and reporting - Python programming for data analysis - Data modelling (warehouse, lakehouse, medallion architecture) - Understanding of financial and insurance data models - Insurance More ❯

a focus on having delivered in Microsoft Azure Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure Data Engineering certifications Databricks certifications What's in it for you: 📍Location: London (Hybrid More ❯

a focus on having delivered in Microsoft Azure Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure Data Engineering certifications Databricks certifications What's in it for you: 📍Location: London (Hybrid More ❯

a focus on having delivered in Microsoft Azure Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure Data Engineering certifications Databricks certifications What's in it for you: 📍Location: London (Hybrid More ❯

a focus on having delivered in Microsoft Azure Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure Data Engineering certifications Databricks certifications What's in it for you: 📍Location: London (Hybrid More ❯

delivered solutions in Google Cloud Platform (GCP) Strong experience designing and delivering data solutions using BigQuery Proficient in SQL and Python Experience working with Big Data technologies such as Apache Spark or PySpark Excellent communication skills, with the ability to engage effectively with senior stakeholders Nice to haves: GCP Data Engineering certifications BigQuery or other GCP tool certifications What More ❯

delivered solutions in Google Cloud Platform (GCP) Strong experience designing and delivering data solutions using BigQuery Proficient in SQL and Python Experience working with Big Data technologies such as Apache Spark or PySpark Excellent communication skills, with the ability to engage effectively with senior stakeholders Nice to haves: GCP Data Engineering certifications BigQuery or other GCP tool certifications What More ❯

delivered solutions in Google Cloud Platform (GCP) Strong experience designing and delivering data solutions using BigQuery Proficient in SQL and Python Experience working with Big Data technologies such as Apache Spark or PySpark Excellent communication skills, with the ability to engage effectively with senior stakeholders Nice to haves: GCP Data Engineering certifications BigQuery or other GCP tool certifications What More ❯

delivered solutions in Google Cloud Platform (GCP) Strong experience designing and delivering data solutions using BigQuery Proficient in SQL and Python Experience working with Big Data technologies such as Apache Spark or PySpark Excellent communication skills, with the ability to engage effectively with senior stakeholders Nice to haves: GCP Data Engineering certifications BigQuery or other GCP tool certifications What More ❯

to create, test and validate data models and outputs Set up monitoring and ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What’s in it for you? Base salary More ❯

to create, test and validate data models and outputs Set up monitoring and ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What’s in it for you? Base salary More ❯