1 to 25 of 34 Apache Jobs in the West Midlands

with multiple languages • Technologies: Scala, Java, Python, Spark, Linux and shell scripting, TDD (JUnit), build tools (Maven/Gradle/Ant) • Experience in working with process scheduling platforms like Apache Airflow. • Should be ready to work in GS proprietary technology like Slang/SECDB • An understanding of compute resources and the ability to interpret performance metrics (e.g., CPU, memory More ❯

multiple programming languages Technologies: Scala, Java, Python, Spark, Linux and shell scripting, TDD (JUnit), build tools (Maven/Gradle/Ant) Experience in working with process scheduling platforms like Apache Airflow. Open to working in GS proprietary technology like Slang/SECDB An understanding of compute resources and the ability to interpret performance metrics (e.g., CPU, memory, threads, file More ❯

with multiple languages • Technologies: Scala, Java, Python, Spark, Linux and shell scripting, TDD (JUnit), build tools (Maven/Gradle/Ant) • Experience in working with process scheduling platforms like Apache Airflow. • Should be ready to work in GS proprietary technology like Slang/SECDB • An understanding of compute resources and the ability to interpret performance metrics (e.g., CPU, memory More ❯

such as AWS, Azure, or GCP · Docker · Documenting code, architectures, and experiments · Linux systems and bash terminals Preferred Qualifications o Databases and/or data warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via SQL and DBT. o Orchestration platforms such as Apache Airflow, Argo Workflows, etc. o Data catalogs and metadata management tools o More ❯

networks into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in other languages This is not an exhaustive list, and we are keen to hear from you even if you don More ❯

Leverage full-stack technologies including Java, JavaScript, TypeScript, React, APIs, MongoDB, Elastic Search, DMN, BPMN, and Kubernetes. Utilize data-streaming technologies such as Kafka CDC, Kafka topics, EMS, and Apache Flink. Innovate and incubate new ideas. Work on a broad range of problems involving large data sets, real-time processing, messaging, workflows, and UI/UX. Drive the full More ❯

Leverage full-stack technologies including Java, JavaScript, TypeScript, React, APIs, MongoDB, Elastic Search, DMN, BPMN, and Kubernetes. Utilize data-streaming technologies such as Kafka CDC, Kafka topics, EMS, and Apache Flink. Innovate and incubate new ideas. Work on a broad range of problems involving large data sets, real-time processing, messaging, workflows, and UI/UX. Drive the full More ❯

leverage full-stack technologies including Java, JavaScript, TypeScript, React, APIs, MongoDB, Elastic Search, DMN, BPMN, and Kubernetes, utilize data-streaming technologies such as Kafka CDC, Kafka topics, EMS, and Apache Flink, innovate and incubate new ideas, work on a broad range of problems, often involving large data sets, including real-time processing, messaging, workflow, and UI/UX, drive More ❯

multiple divisions to create end-to-end solutions, learn from experts, leverage various technologies depending on the team including; Java, JavaScript, TypeScript, React, APIs, MongoDB, Elastic Search, Kafka, Kubernetes, Apache Flink, Kafka CDC be able to innovate and incubate new ideas, have an opportunity to work on a broad range of problems, often dealing with large data sets, including More ❯

full-stack technologies including; Java, JavaScript, TypeScript, React, APIs, MongoDB, Elastic Search, DMN, BPMN and Kubernetes leverage data-streaming technologies including Kafka CDC, Kafka topic and related technologies, EMS, Apache Flink be able to innovate and incubate new ideas, have an opportunity to work on a broad range of problems, often dealing with large data sets, including real-time More ❯

exciting and critical challenges to the UK’s digital landscape. This role requires strong expertise in building and managing data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi. The successful candidate will design, implement, and maintain scalable, secure data solutions, ensuring compliance with strict security standards and regulations. This is a UK based onsite role with … the option of compressed hours. The role will include: Design, develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi. Implement data ingestion, transformation, and integration processes, ensuring data quality and security. Collaborate with data architects and security teams to ensure compliance with security policies and data governance standards. Manage and … experience working as a Data Engineer in secure or regulated environments. Expertise in the Elastic Stack (Elasticsearch, Logstash, Kibana) for data ingestion, transformation, indexing, and visualization. Strong experience with Apache NiFi for building and managing complex data flows and integration processes. Knowledge of security practices for handling sensitive data, including encryption, anonymization, and access control. Familiarity with data governance More ❯

TDD, BDD and DDD, Enterprise Architecture Patterns Frontend Technologies HTML, CSS, JavaScript, Typescript, React Experience with Unit and Integration Testing JUnit, Spock, Jest Experience with integration frameworks such as Apache Calling all tech enthusiasts! Are you a problem-solving, curious, and strategic Java Developer? Join us at Sidetrade, the leading global SaaS provider recognized by Gartner. Indulge your passion More ❯

Engineering (open to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or informal More ❯

Engineering (open to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or informal More ❯

Engineering (open to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or informal More ❯

Engineering (open to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or informal More ❯

Engineering (open to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or informal More ❯

Engineering (open to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or informal More ❯

Engineering (open to professionals from various data eng. backgrounds - data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience - formal or informal More ❯

users, and engineering colleagues across divisions to create end-to-end solutions. Learn from experts and mentor junior members. Leverage data-streaming technologies including Kafka CDC, Kafka topics, EMS, Apache Flink. Innovate and incubate new ideas. Work on a broad range of problems involving large data sets, real-time processing, messaging, workflow, and UI/UX. Drive the full More ❯

structured insights. Experience in building data pipelines and models in SAP Datasphere or SAP BW4/Hana Advanced skills in SQL, data modelling, and data transformation Familiarity with Databricks, Apache Spark, PySpark, and Delta Lake Agile mindset with experience in DevOps and iterative delivery Excellent communication and stakeholder engagement abilities Sound like a fit? Let's build the future More ❯

We are seeking 3 Data Engineers to join our defence & security client on a contract basis. Key skills required for this role DV cleared, Data Engineer, ETL, Elastic Stack, Apache NiFi Important DV Cleared - Data Engineer - ELK & NiFi - Outside IR35 Location: Worcester Duration: 6 months initial contract Security: Active DV clearance required In this role, you will help design … develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi. These positions are onsite in Worcester and require active UK DV clearance. Key Responsibilities: Design, develop, and maintain secure and scalable data pipelines using the Elastic Stack and Apache NiFi. Implement data ingestion, transformation, and integration processes, ensuring data quality … the ability to obtain it. Experience as a Data Engineer in secure or regulated environments. Expertise in the Elastic Stack for data ingestion, transformation, and visualization. Strong experience with Apache NiFi for managing complex data flows. Knowledge of security practices for handling sensitive data. Understanding of data governance, quality, and compliance standards in secure settings. Experience managing large-scale More ❯

and reporting needs, translating them into technical solutions and scalable BI products. Design and implement robust data pipelines and workflows using modern data processing frameworks such as DBT and Apache Spark. Evaluate and select BI tools and technologies to enhance reporting capabilities and user experience. Optimize the performance and scalability of data systems, continuously improving data ingestion, transformation, and … modern cloud data warehouse platforms, preferably Snowflake. Advanced proficiency in data modeling, data warehousing, and dimensional modeling concepts. Strong command of data transformation and pipeline tools, such as DBT, Apache Spark, or equivalent. Expertise in implementing data governance frameworks, including data quality management, metadata management, and data security practices. Experience leading cross-functional data governance initiatives and councils. Ability More ❯

Party APIs (GraphQL and/or REST). Strong experience with HTML5, CSS3, JavaScript, and Liquid is a must. Experience with SQL Databases (Postgres, MongoDB) and Web Servers (nginx, Apache, etc). Experience with Git/Version Control Ideally experience with other Backend Languages such as PHP is ideal. Comfortable being client facing for client calls, sprint reviews, kick More ❯

users, and engineering colleagues to create end-to-end solutions. Learn from experts, mentor, and coach junior team members. Utilize data-streaming technologies including Kafka CDC, Kafka, EMS, and Apache Flink. Innovate and incubate new ideas. Work on a broad range of problems involving large data sets, real-time processing, messaging, workflows, and UI/UX. Drive the full More ❯