1 to 25 of 55 Hadoop Jobs in the UK

Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience, such ...

Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience, such ...

Scala, and SQL. Hands-on experience building and operating large-scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop). Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools. Experience working with cloud-native data platforms, with strong expertise ...

Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience, such ...

Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Reporting tools (e.g. Tableau, PowerBI ...

NoSQL) Experience with cloud technologies Experience with cloud platforms Experience with CI/CD practices Experience with big data tools e.g. Spark, Hadoop, NiFi Experience managing direct reports, providing regular guidance and performance feedback Ability to create delivery plans with estimated timelines for personal and team workloads Experience supporting ...

deployment and monitoring using CI/CD tools and infrastructure-as-code practices Hands-on expertise with distributed data processing frameworks (e.g., Apache Spark, Hadoop) and real-time data streaming technologies (e.g., Kafka, Kinesis, Spark) Track record of collaborating with cross-functional teams (engineering, analytics, business stakeholders) to deliver ...

comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes-based deployment approaches where relevant You will also work with ...

Gradle). Desirable skills: Scala: Hands-on experience or a strong functional programming background using Scala. Big Data: Exposure to Apache Spark, Kafka, or Hadoop ecosystems. Cloud: Experience with AWS, Azure, or Google Cloud Platform. Experience in banking or financial services industry. Soft Skills Strong problem-solving abilities. Clear ...

warehousing principles and best practices Dimensional modelling Enterprise data architecture concepts Modernisation Experience Experience delivering migrations and modernisation initiatives involving technologies such as: Teradata Hadoop Oracle SAS Preferred Experience Financial Services or Banking sector experience. Experience working within regulated environments. Large-scale cloud transformation programmes. Agile delivery methodologies. Experience ...

Oracle, Snowflake, Databricks). Experience with data integration (ETL/ELT, APIs). Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka) is a plus. Domain Knowledge Exceptional understanding of the Funds business lifecycle, financial instruments, market data, and investment operations. In-depth knowledge ...

Python . Expertise in SQL and large-scale data modelling. Strong cloud experience across GCP, AWS, or Azure . Experience with Databricks, Snowflake, or Hadoop ecosystems . Knowledge of data ingestion, ETL/ELT frameworks, and batch/real-time processing. Applications are now open. ...

solutions on at least one public cloud platform (AWS, Azure, or GCP) Working knowledge of distributed data systems: Apache SparkTM, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming ...

addition to the above, we would be thrilled if you also had: Experience of working on migrations of enterprise scale data platforms including Hadoop and traditional data warehouses An understanding of machine learning model development lifecycle, feature engineering, training and testing Good understanding or hands‐on experience of Kafka ...

performance and reliability Collaborate with Agile teams to deliver secure, high-quality solutions Write clean, tested, maintainable code Required Skills: Experience with Apache Spark, Hadoop or similar big data technologies AWS Apache NiFi Python or Java Experience building data pipelines and ETL processes Desirable: CI/CD, Infrastructure ...

performance and reliability Collaborate with Agile teams to deliver secure, high-quality solutions Write clean, tested, maintainable code Required Skills: Experience with Apache Spark, Hadoop or similar big data technologies AWS Apache NiFi Python or Java Experience building data pipelines and ETL processes Desirable: CI/CD, Infrastructure ...

Life Sciences. Experience working for a software vendor, SaaS provider, or professional services organisation. Familiarity with Ataccama or similar enterprise data platforms. Exposure to Hadoop/Spark, NoSQL, XSLT, Hive, Kafka, Snowflake, or Databricks. Python or other programming languages. Familiarity with SDLC, code management and upgrades, and Unix/ ...

Services: SOAP and Rest IT networking CI/CD The Atlassian Suite (JIRA, Confluence, Bitbucket, Bamboo) Azure Services Machine learning algorithms Big Data (Hadoop, Azure Data Lake, S3, Apache Spark) Additional programming languages – Python, Scala, Typescript, CSS 3/SASS (or other pre-processors) Other Information The successful candidate ...

simpler, more scalable solutions. What We're Looking For Strong SQL Data Engineering or Analytics Engineering experience Databricks or comparable platforms such as Snowflake, Hadoop or SQL Server Python and ideally PySpark ETL/ELT and data modelling Strong problem-solving and critical-thinking skills Good understanding of data ...

analysis of data. Manage and integrate data across dissimilar data sets. Analyze large-scale structured and unstructured data. Use frameworks such as Spark and Hadoop to conduct large-scale data processing. Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI and R Shiny. Research ...

analysis of data. Manage and integrate data across dissimilar data sets. Analyze large-scale structured and unstructured data. Use frameworks such as Spark and Hadoop to conduct large-scale data processing. Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI and R Shiny. Research ...

grade data platforms — ingestion, transformation, orchestration, governance through Unity Catalog, and downstream BI/ML enablement. Lead large-scale migrations (legacy DW/ETL, Hadoop, on-prem estates) and cloud transformation projects to Databricks on Azure/AWS/GCP, including assessment, wave planning, and cutover. Stay hands ...

Azure. Advanced analytics, predictive modelling, machine learning, cognitive tools and artificial intelligence. Structured and unstructured data management systems and models, including relational, columnar store, Hadoop and NoSQL platforms. Modern data visualisation platforms such as Tableau, Power BI, Qlik, MicroStrategy and others. IDEALLY WE'D LIKE: Experience in data ...

distributed tracing, logging, and metrics (e.g., Prometheus, Grafana, ELK, or OpenTelemetry). Experience in some of the following is desired: SRE experience, relational databases, Hadoop and big data technologies, knowledge of the financial industry or compliance/risk functions. Familiarity with cloud-native architecture and managed services (AWS, Azure ...

Preferred: Experience in supply optimisation, pricing, marketplace analytics, or a related domain Familiarity with big data querying tools such as Presto, Hive, BigQuery, or Hadoop Exposure to Bayesian methods, causal inference, or multi-armed bandit approaches Experience collaborating with Machine Learning Data Science teams to validate and scale models ...