51 to 75 of 81 Hadoop Jobs in the UK

solutions. What We’re Looking For: Proven experience leading data science or analytics teams Strong Python, SQL, and ML toolkit (scikit-learn, TensorFlow, PyTorch, etc.) Big data experience (Spark, Hadoop), plus knowledge of Linux environments Passion for data-driven problem solving, risk modelling, or fraud analytics If you’re interested, I’d be happy to arrange a brief chat. More ❯

solutions. What We’re Looking For: Proven experience leading data science or analytics teams Strong Python, SQL, and ML toolkit (scikit-learn, TensorFlow, PyTorch, etc.) Big data experience (Spark, Hadoop), plus knowledge of Linux environments Passion for data-driven problem solving, risk modelling, or fraud analytics If you’re interested, I’d be happy to arrange a brief chat. More ❯

solutions. What We’re Looking For: Proven experience leading data science or analytics teams Strong Python, SQL, and ML toolkit (scikit-learn, TensorFlow, PyTorch, etc.) Big data experience (Spark, Hadoop), plus knowledge of Linux environments Passion for data-driven problem solving, risk modelling, or fraud analytics If you’re interested, I’d be happy to arrange a brief chat. More ❯

Neo4J, InfluxDB). Hands-on experience with data processing and integration tools , including ETL, ESB, and APIs. Proficiency in Python or similar programming languages. Exposure to big data technologies (Hadoop or similar frameworks). Familiarity with Generative AI, NLP, or OCR applications is highly desirable. Previous experience in the industrial or defence sector is advantageous. Salary & Working Model More ❯

Neo4J, InfluxDB). Hands-on experience with data processing and integration tools , including ETL, ESB, and APIs. Proficiency in Python or similar programming languages. Exposure to big data technologies (Hadoop or similar frameworks). Familiarity with Generative AI, NLP, or OCR applications is highly desirable. Previous experience in the industrial or defence sector is advantageous. Salary & Working Model More ❯

Neo4J, InfluxDB). Hands-on experience with data processing and integration tools , including ETL, ESB, and APIs. Proficiency in Python or similar programming languages. Exposure to big data technologies (Hadoop or similar frameworks). Familiarity with Generative AI, NLP, or OCR applications is highly desirable. Previous experience in the industrial or defence sector is advantageous. Salary & Working Model More ❯

Neo4J, InfluxDB). Hands-on experience with data processing and integration tools , including ETL, ESB, and APIs. Proficiency in Python or similar programming languages. Exposure to big data technologies (Hadoop or similar frameworks). Familiarity with Generative AI, NLP, or OCR applications is highly desirable. Previous experience in the industrial or defence sector is advantageous. Salary & Working Model More ❯

as Java, TypeScript, Python, and Go Web libraries and frameworks such as React and Angular Designing, building, and maintaining CI/CD pipelines Big data technologies, such as NiFi, Hadoop, Spark Cloud and containerization technologies such as AWS, OpenShift, Kubernetes, Docker DevOps methodologies, such as infrastructure as code and GitOps Database technologies, e.g. relational databases, Elasticsearch, Mongo Why join More ❯

resources here to help you develop into a better-rounded professional. Basic Qualifications - 7+ years of technical specialist, design and architecture experience - 5+ years of database (e.g., SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - 3+ years of More ❯

Agile working practices CI/CD tooling Scripting experience (Python, Perl, Bash, etc.) ELK (Elastic stack) JavaScript Cypress Linux experience Search engine technology (e.g., Elasticsearch) Big Data Technology experience (Hadoop, Spar k , Kafka, etc.) Microservice and cloud native architecture Desirable: Able to demonstrate experience of troubleshooting and diagnosis of technical issues. Able to demonstrate excellent team-working skills. Strong More ❯

not help here. Interview includes coding test. Job Description: Scala/Spark • Good Big Data resource with the below Skillset: § Spark § Scala § Hive/HDFS/HQL • Linux Based Hadoop Ecosystem (HDFS, Impala, Hive, HBase, etc.) • Experience in Big data technologies, real time data processing platform (Spark Streaming) experience would be an advantage. • Consistently demonstrates clear and concise written More ❯

not help here. Interview includes coding test. Job Description: Scala/Spark • Good Big Data resource with the below Skillset: § Spark § Scala § Hive/HDFS/HQL • Linux Based Hadoop Ecosystem (HDFS, Impala, Hive, HBase, etc.) • Experience in Big data technologies, real time data processing platform (Spark Streaming) experience would be an advantage. • Consistently demonstrates clear and concise written More ❯

not help here. Interview includes coding test. Job Description: Scala/Spark • Good Big Data resource with the below Skillset: § Spark § Scala § Hive/HDFS/HQL • Linux Based Hadoop Ecosystem (HDFS, Impala, Hive, HBase, etc.) • Experience in Big data technologies, real time data processing platform (Spark Streaming) experience would be an advantage. • Consistently demonstrates clear and concise written More ❯

not help here. Interview includes coding test. Job Description: Scala/Spark • Good Big Data resource with the below Skillset: § Spark § Scala § Hive/HDFS/HQL • Linux Based Hadoop Ecosystem (HDFS, Impala, Hive, HBase, etc.) • Experience in Big data technologies, real time data processing platform (Spark Streaming) experience would be an advantage. • Consistently demonstrates clear and concise written More ❯

not help here. Interview includes coding test. Job Description: Scala/Spark • Good Big Data resource with the below Skillset: § Spark § Scala § Hive/HDFS/HQL • Linux Based Hadoop Ecosystem (HDFS, Impala, Hive, HBase, etc.) • Experience in Big data technologies, real time data processing platform (Spark Streaming) experience would be an advantage. • Consistently demonstrates clear and concise written More ❯

able to work with Business/Systems Analysts and Quality Engineers in a behavioural driven development environment. You will have knowledge of all types of data storage techniques, SQL, Hadoop, Snowflake, Mongo, The Ideal candidate should have experience of developing Microservices in Cloud based environment/Successful candidates will have experience working on large-scale production systems with high More ❯

able to work with Business/Systems Analysts and Quality Engineers in a behavioural driven development environment. You will have knowledge of all types of data storage techniques, SQL, Hadoop, Snowflake, Mongo, The Ideal candidate should have experience of developing Microservices in Cloud based environment/Successful candidates will have experience working on large-scale production systems with high More ❯

month contract - Inside IR35 - Financial Services This role will require travel to Milton Keyenes and the London offices. Experience: Advanced knowledge and 3yrs+ experience of programming languages Hadoop SQL, Spark, SAS etc. Exceptional problem-solving skills. Track record of developing high quality analysis that has resulted in customer centric decisions that achieve business objectives. Understanding of the customer and More ❯

multi-threaded Java – if you haven’t been siloed in a big firm then don’t worry. Additional exposure to the following is desired : - Tech Stack you will learn Hadoop and Flink RUST, Javascript, React, Redux, Flow Linux, Jenkins Kafka, Avro, Kubernetes, Puppet Involvement in the Java community My client is based London. Home work is encouraged but you More ❯

multi-threaded Java – if you haven’t been siloed in a big firm then don’t worry. Additional exposure to the following is desired : - Tech Stack you will learn Hadoop and Flink RUST, Javascript, React, Redux, Flow Linux, Jenkins Kafka, Avro, Kubernetes, Puppet Involvement in the Java community My client is based London. Home work is encouraged but you More ❯

multi-threaded Java – if you haven’t been siloed in a big firm then don’t worry. Additional exposure to the following is desired : - Tech Stack you will learn Hadoop and Flink RUST, Javascript, React, Redux, Flow Linux, Jenkins Kafka, Avro, Kubernetes, Puppet Involvement in the Java community My client is based London. Home work is encouraged but you More ❯

techniques for LLMs PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience with conducting research in a corporate setting - Experience in patents or publications at top More ❯

database for future analysis. Required Skills: Strong experience with Slurm or similar job schedulers. Expertise in Docker (Kubernetes experience a plus). Big data database design (PostgreSQL, MongoDB, or Hadoop/S3). Proficiency in Python for API integration. Infrastructure-as-Code (Terraform). Experience with observability stacks (Prometheus, Grafana, ELK). On offer: Up to £325 Outside IR35 More ❯

on experience (coding, configuration, automation, delivery, monitoring, security). ETL Tools such as Azure Data Fabric (ADF) and Databricks or similar ones. Significant hands-on experience of HDFS/Hadoop and on-prem (coding, configuration, automation, delivery, monitoring, security). Extensive Big Data hands-on experience - Cloudera or similar. Data Lakes: Azure Data, Delta Lake, Data Lake or Databricks … the UK long-term without the need for Company Sponsorship. KEYWORDS Senior Data Engineer, Coding Skills, Spark, Java, Python, PySpark, Scala, ETL Tools, Azure Data Fabric (ADF), Databricks, HDFS, Hadoop, Big Data, Cloudera, Data Lakes, Azure Data, Delta Lake, Data Lake, Databricks Lakehouse, Data Analytics, SQL, Geospatial Data, FME, QGIS, PostGIS. Please note that due to a high level More ❯

display, video, mobile, programmatic, social, native), considering viewability, interaction, and engagement metrics. Create dashboards and deliver usable insights to help steer product roadmaps. Utilize tools such as SQL, R, Hadoop, Excel to hypothesize and perform statistical analysis, AB tests, and experiments to measure the impact of product initiatives on revenue, technical performance, advertiser & reader engagement. Candidates should have analysis More ❯