26 to 47 of 47 Remote Hadoop Jobs

machine learning techniques, including clustering, Bayesian methods, reinforcement learning, and scalable modelling Technical fluency in tools and platforms like Python or R, cloud environments, and big data infrastructure (e.g., Hadoop, Kafka, SQL) Exceptional stakeholder communication-able to translate complex technical ideas into strategic insights for executive audiences Bonus: Experience in industries like gaming, entertainment or technology would add value More ❯

machine learning techniques, including clustering, Bayesian methods, reinforcement learning, and scalable modelling Technical fluency in tools and platforms like Python or R, cloud environments, and big data infrastructure (e.g., Hadoop, Kafka, SQL) Exceptional stakeholder communication-able to translate complex technical ideas into strategic insights for executive audiences Bonus: Experience in industries like gaming, entertainment or technology would add value More ❯

machine learning techniques, including clustering, Bayesian methods, reinforcement learning, and scalable modelling Technical fluency in tools and platforms like Python or R, cloud environments, and big data infrastructure (e.g., Hadoop, Kafka, SQL) Exceptional stakeholder communication-able to translate complex technical ideas into strategic insights for executive audiences Bonus: Experience in industries like gaming, entertainment or technology would add value More ❯

machine learning techniques, including clustering, Bayesian methods, reinforcement learning, and scalable modelling Technical fluency in tools and platforms like Python or R, cloud environments, and big data infrastructure (e.g., Hadoop, Kafka, SQL) Exceptional stakeholder communication-able to translate complex technical ideas into strategic insights for executive audiences Bonus: Experience in industries like gaming, entertainment or technology would add value More ❯

machine learning techniques, including clustering, Bayesian methods, reinforcement learning, and scalable modelling Technical fluency in tools and platforms like Python or R, cloud environments, and big data infrastructure (e.g., Hadoop, Kafka, SQL) Exceptional stakeholder communication-able to translate complex technical ideas into strategic insights for executive audiences Bonus: Experience in industries like gaming, entertainment or technology would add value More ❯

tools, including deployment pipelines. Understanding of AGILE software development methodologies and use of standard software development tool suites. Preferred Skills and Experience: Experience with Docker and Kubernetes Experience with Hadoop Experience with Spark Experience with Accumulo Experience monitoring application performance with metrics (Prometheus, InfluxDB, Grafana) and logs with ELK Stack (ElsticSearch, Logstash, Kibana) Experience with asynchronous messaging systems (RabbitMQ More ❯

SQL technologies (e.g. MS SQL, Oracle) NoSQL technologies (e.g. MongoDB, InfluxDB, Neo4J) Data exchange and processing tools (ETL, ESB, API) Programming experience (Python or similar) Big data tools (e.g. Hadoop stack) Knowledge of NLP, OCR, and Generative AI is advantageous Experience with containerisation (e.g. Docker) is beneficial Familiarity with defence or industrial sectors is a plus Benefits Package: Annual More ❯

on-prem to cloud data migrations Strong SQL (e.g. MS SQL, Oracle) and NoSQL (e.g. MongoDB, Neo4J) skills Expertise in Python, ETL, API integration, and data processing Familiarity with Hadoop, Docker, and containerisation technologies Knowledge of Generative AI, NLP, or OCR is a plus Understanding of data governance and compliance in secure environments Eligibility for SC clearance -British citizen More ❯

on-prem to cloud data migrations Strong SQL (e.g. MS SQL, Oracle) and NoSQL (e.g. MongoDB, Neo4J) skills Expertise in Python, ETL, API integration, and data processing Familiarity with Hadoop, Docker, and containerisation technologies Knowledge of Generative AI, NLP, or OCR is a plus Understanding of data governance and compliance in secure environments Eligibility for SC clearance - British citizens More ❯

on-prem to cloud data migrations Strong SQL (e.g. MS SQL, Oracle) and NoSQL (e.g. MongoDB, Neo4J) skills Expertise in Python, ETL, API integration, and data processing Familiarity with Hadoop, Docker, and containerisation technologies Knowledge of Generative AI, NLP, or OCR is a plus Understanding of data governance and compliance in secure environments Eligibility for SC clearance -British citizens More ❯

e.g. MS SQL, Oracle...) noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies (e.g. Docker) would More ❯

with SQL & NoSQL databases (e.g. MS SQL, MongoDB, Neo4J) Python skills for scripting and automation ETL and data exchange experience (e.g. APIs, ESB tools) Knowledge of Big Data (e.g. Hadoop) Curiosity about AI, particularly NLP, OCR or Generative AI ?? Bonus Points For Docker/containerisation experience Any previous work in industrial, aerospace or secure environments Exposure to tools like More ❯

Using machine learning tools to select features, create and optimize classifiers Qualifications: Programming Skills - knowledge of statistical programming languages like python, and database query languages like SQL, Hive/Hadoop, Pig is desirable. Familiarity with Scala and java is an added advantage. Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency More ❯

solving ability. Language-agnostic approach to performance engineering problems. Desirable Experience Kubernetes deployment architectures. Building trading controls within investment banking environments. Working with data technologies, including: NoSQL (MongoDB, Elasticsearch, Hadoop) In-memory (MemSQL, Ignite) Cloud-based (Snowflake) Relational (DB2, SybaseIQ) Data-driven performance analysis and optimisation. Please email your CV to for immediate consideration. More ❯

experience across AWS Glue, Lambda, Step Functions, RDS, Redshift, and Boto3. Proficient in one of Python, Scala or Java, with strong experience in Big Data technologies such as: Spark, Hadoop etc. Practical knowledge of building Real Time event streaming pipelines (eg, Kafka, Spark Streaming, Kinesis). Proven experience developing modern data architectures including Data Lakehouse and Data Warehousing. A … tooling, and data governance including GDPR. Bonus Points For Expertise in Data Modelling, schema design, and handling both structured and semi-structured data. Familiarity with distributed systems such as Hadoop, Spark, HDFS, Hive, Databricks. Exposure to AWS Lake Formation and automation of ingestion and transformation layers. Background in delivering solutions for highly regulated industries. Passion for mentoring and enabling More ❯

Server, Oracle or similar - Experience with ETL, API, ESL or similar - Hands on with coding languages such as Python, Bash or similar - Knowledge of Big Data tech such as Hadoop or simlar - Knowledge in the following areas are highly desirable but not essential - AI, Natural Language Processing, OCR - Experience with containerisation via Docker is highly advantageous - Please not roles 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 ❯

and unit testing frameworks (e.g., JUnit). Experience testing backend systems or APIs, with knowledge of REST, JSON, or Thrift. Bonus: Familiarity with Selenium WebDriver, Jenkins, big data technologies (Hadoop, Kafka), or performance testing tools like JMeter. Why Apply? Competitive bonus structure (from 4%, up to 8% after 3 years). Comprehensive benefits including private pension plans, health & dental More ❯

This is a fantastic opportunity for highly skilled and motivated Lead Data Engineer with strong expertise in data architecture, ETL pipelines, cloud technologies and big data solutions - knowledge of Hadoop and HDFS is 100% required! You MUST have also run a team to be considered for this role - it could be a small or medium sized team but you … Delta Lake, Data Lake or Databricks Lakehouse. Certifications: AWS, Azure, or Cloudera certifications are a plus. To be considered for this role you MUST have in-depth experience of Hadoop and HDFS. The role comes with an extensive benefits package including a good pension, good holiday allowance, healthcare, bonus and more! Please note, to be considered for this opportunity … offering sponsorship for this role. KEYWORDS Lead Data Engineer, Senior Data Engineer, Spark, Java, Python, PySpark, Scala, Big Data, AWS, Azure, Cloud, On-Prem, ETL, Azure Data Fabric, ADF, Hadoop , HDFS , Azure Data, Delta Lake, Data Lake Please note that due to a high level of applications, we can only respond to applicants whose skills and qualifications are suitable More ❯

Role Title: Hadoop Engineer/ODP Platform Location: Birmingham/Sheffield - Hybrid working with 3 days onsite per week End Date: 28/11/2025 Role Overview: We are seeking a highly skilled Hadoop Engineer to support and enhance our Operational Data Platform (ODP) deployed in an on-premises environment. The ideal candidate will have extensive experience … in the Hadoop ecosystem, strong programming skills, and a solid understanding of infrastructure-level data analytics. This role focuses on building and maintaining scalable, secure, and high-performance data pipelines within enterprise-grade on-prem systems. Key Responsibilities: Design, develop, and maintain data pipelines using Hadoop technologies in an on-premises infrastructure. Build and optimise workflows using Apache … and troubleshoot data jobs, ensuring reliability and performance across the platform. Ensure compliance with enterprise security and data governance standards. Required Skills & Experience: Minimum 5 years of experience in Hadoop and data engineering. Strong hands-on experience with Python, Apache Airflow, and Spark Streaming. Deep understanding of Hadoop components (HDFS, Hive, HBase, YARN) in on-prem environments. Exposure More ❯

Role Title: Hadoop Engineer/ODP Platform Location: Birmingham/Sheffield - Hybrid working with 3 days onsite per week End Date: 28/11/2025 Role Overview: We are seeking a highly skilled Hadoop Engineer to support and enhance our Operational Data Platform (ODP) deployed in an on-premises environment. The ideal candidate will have extensive experience … in the Hadoop ecosystem, strong programming skills, and a solid understanding of infrastructure-level data analytics. This role focuses on building and maintaining scalable, secure, and high-performance data pipelines within enterprise-grade on-prem systems. Key Responsibilities: Design, develop, and maintain data pipelines using Hadoop technologies in an on-premises infrastructure. Build and optimise workflows using Apache … and troubleshoot data jobs, ensuring reliability and performance across the platform. Ensure compliance with enterprise security and data governance standards. Required Skills & Experience: Minimum 5 years of experience in Hadoop and data engineering. Strong hands-on experience with Python, Apache Airflow, and Spark Streaming. Deep understanding of Hadoop components (HDFS, Hive, HBase, YARN) in on-prem environments. Exposure More ❯

Advert Hadoop Engineer 6 Months Contract Remote working £300 to £350 a day A top timer global consultancy firm is looking for an experienced Hadoop Engineer to join their team and contribute to large big data projects. The position requires a professional with a strong background in developing and managing scalable data pipelines, specifically using the Hadoop ecosystem and related tools. The role will focus on designing, building and maintaining scalable data pipelines using big data hadoop ecosystems and apache spark for large datasets. A key responsibility is to analyse infrastructure logs and operational data to derive insights, demonstrating a strong understanding of both data processing and the underlying systems. The successful candidate should have … for Scripting Apache Spark Prior experience of building ETL pipelines Data Modelling 6 Months Contract - Remote Working - £300 to £350 a day Inside IR35 If you are an experienced Hadoop engineer looking for a new role then this is the perfect opportunity for you. If the above seems of interest to you then please apply directly to the AD More ❯