1 to 25 of 36 Hadoop Jobs in the West Midlands

Strong communication skills and adaptability in dynamic environments. Nice-to-Have Requirements: Experience in designing scalable data solutions. Knowledge of big data technologies like Hadoop, Kafka, or Spark. Experience with data visualization tools such as Tableau or Power BI. Hands-on experience with data warehousing solutions like Snowflake or More ❯

Several years of experience in data engineering or a related field, with expertise in designing scalable data solutions. Familiarity with big data technologies like Hadoop, Kafka, or Spark for processing large-scale data. Experience with data visualization tools such as Tableau, Power BI, or similar platforms for building reports More ❯

Several years of experience in data engineering or a related field, with expertise in designing scalable data solutions. Familiarity with big data technologies like Hadoop, Kafka, or Spark for processing large-scale data. Experience with data visualization tools such as Tableau, Power BI, or similar platforms for building reports More ❯

and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality and/or and data lineage More ❯

and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality and/or and data lineage More ❯

and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality and/or and data lineage More ❯

and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality and/or and data lineage More ❯

and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality and/or and data lineage More ❯

and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality and/or and data lineage More ❯

and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality and/or and data lineage More ❯

ELT tools, APIs, and integration platforms. Deep knowledge of data modelling, warehousing, and real time analytics. Familiarity with big data technologies principals (e.g., Spark, Hadoop) and BI tools (e.g., Power BI, Tableau). Strong programming skills (e.g. SQL, Python, Java, or similar languages). Ability to exercise a substantial More ❯

platforms (AWS, GCP, Azure) and cloud services for data storage, processing, and analytics. Nice-to-Have Requirements: Familiarity with big data technologies such as Hadoop, Kafka, and similar tools. Familiarity with version control systems like Git. Experience with GraphDB, MongoDB, SQL/NoSQL, MS Access, and other databases. Ability More ❯

platforms (AWS, GCP, Azure) and cloud services for data storage, processing, and analytics. Nice-to-Have Requirements Familiarity with big data technologies such as Hadoop, Kafka, and similar tools. Familiarity with version control systems like Git. Experience with GraphDB, MongoDB, SQL/NoSQL, MS Access, and other databases. Ability More ❯

platforms (AWS, GCP, Azure) and cloud services for data storage, processing, and analytics. Nice-to-Have Requirements Familiarity with big data technologies such as Hadoop, Kafka, and similar tools. Familiarity with version control systems like Git. Experience with GraphDB, MongoDB, SQL/NoSQL, MS Access, and other databases. Ability More ❯

based data systems Clear communicator, able to translate complex data concepts to cross-functional teams Bonus points for experience with: Big data tools (Spark, Hadoop), ETL workflows, or high-throughput data streams Genomic data formats and tools Cold and hot storage management, ZFS/RAID systems, or tape storage More ❯

on data accuracy, quality, and reliability Desirable (Nice to Have): Background in defence, government, or highly regulated sectors Familiarity with Apache Kafka, Spark, or Hadoop Experience with Docker and Kubernetes Use of monitoring/alerting tools such as Prometheus, Grafana, or ELK Understanding of machine learning algorithms and data More ❯

on data accuracy, quality, and reliability Desirable (Nice to Have): Background in defence, government, or highly regulated sectors Familiarity with Apache Kafka, Spark, or Hadoop Experience with Docker and Kubernetes Use of monitoring/alerting tools such as Prometheus, Grafana, or ELK Understanding of machine learning algorithms and data More ❯

on data accuracy, quality, and reliability Desirable (Nice to Have): Background in defence, government, or highly regulated sectors Familiarity with Apache Kafka, Spark, or Hadoop Experience with Docker and Kubernetes Use of monitoring/alerting tools such as Prometheus, Grafana, or ELK Understanding of machine learning algorithms and data More ❯

on data accuracy, quality, and reliability Desirable (Nice to Have): Background in defence, government, or highly regulated sectors Familiarity with Apache Kafka, Spark, or Hadoop Experience with Docker and Kubernetes Use of monitoring/alerting tools such as Prometheus, Grafana, or ELK Understanding of machine learning algorithms and data More ❯

on data accuracy, quality, and reliability Desirable (Nice to Have): Background in defence, government, or highly regulated sectors Familiarity with Apache Kafka, Spark, or Hadoop Experience with Docker and Kubernetes Use of monitoring/alerting tools such as Prometheus, Grafana, or ELK Understanding of machine learning algorithms and data More ❯

Power BI, or similar to effectively present validation results and insights. Nice-to-Have Requirements Familiarity with big data tools and technologies, such as Hadoop, Kafka, and Spark. Familiarity with data governance frameworks and validation standards in the energy sector. Knowledge of distributed computing environments and model deployment at More ❯

deploying models. Ability to use data visualization tools like Tableau or Power BI. Nice-to-Have Skills Knowledge of big data tools such as Hadoop, Kafka, Spark. Understanding of data governance and validation standards in energy. Experience with distributed computing and large-scale deployment. Strong communication skills for explaining More ❯

millions of data points daily, and develop highly available data processing and REST services for different PWM consumers. Technologies include: Data Technologies: Kafka, Spark, Hadoop, Presto, Alloy Programming Languages: Java, Scala, Scripting Microservice Technologies: REST, Spring Boot, Jersey Build & CI/CD: Gradle, Jenkins, Gitlab, SVN Cloud Technologies: AWS More ❯

CI/CD pipelines. Continual learning through internal and external training. What you'll bring Mandatory Proficient in at least two of the following: Hadoop, GCP or AWS for creating Big Data solutions. Skilled in using technologies such as Scala or Java. Hands-on experience with Continuous Integration and More ❯

its data science/ML libraries Agile delivery experience with task estimation and dependency management Excellent communication and collaboration skills Bonus if you have: Hadoop/Jenkins experience Azure or AWS certifications Familiarity with Java Why Join? This employer offers more than just a job - it's a place More ❯