10 of 10 Remote/Hybrid Hadoop Jobs in the UK

Data Platforms: BigQuery, Snowflake, Redshift, Databricks, PostgreSQL, MySQL, MongoDB, or other SQL/NoSQL technologies Data Tooling: Airflow, dbt, AWS Glue, Step Functions, Spark, Hadoop, or similar tooling Infrastructure: AWS, Terraform, Docker, Kubernetes, or other cloud/platform technologies CI/CD: GitHub Actions, Jenkins, ArgoCD, or similar deployment ...

/Studio, ERwin, or Sparx EA (preferred). Experience reverse engineering models from existing databases. Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). Experience with API management and gateway tools and services. Experience of RESTful APIs for ingesting and exposing data. Proven track record with data ...

detail. Strong partner management and ability to influence across teams and organisations. Continuous learning and improvement mentality. Desired Experience with big data technologies (e.g. Hadoop, Hive, Spark). Experience with generative AI, LLMs, or retrieval-augmented generation (RAG). Exposure to Agentic AI concepts, including autonomous agents, tool ...

detail.* Strong partner management and ability to influence across teams and organisations.* Continuous learning and improvement mentality.## **Desired*** Experience with big data technologies (e.g. Hadoop, Hive, Spark).* Experience with generative AI, LLMs, or retrieval-augmented generation (RAG).* Exposure to Agentic AI concepts, including autonomous agents, tool ...

experience with MLOps, production ML systems, model lifecycle management, and monitoring. Experience working with large-scale data systems and distributed computing frameworks (e.g. Spark, Hadoop). Knowledge of experimental design, scientific methodology, and analysis. Strong partner management and confirmed ability to influence large organisations without direct authority. Demonstrated ability ...

Job Title: Data Engineering Intern (Remote – UK Client) Location: Remote Duration: 3–6 Months Internship Working Hours: Flexible (Must be available for overlap with Australian business hours when required) Stipend: As per company standards Client ...

About the Job you are considering: Results-driven Hadoop Data Engineer with experience designing, developing, and maintaining large-scale data processing solutions for financial services organizations. Skilled in building robust data pipelines, managing big data platforms, and transforming high-volume structured and unstructured financial data into actionable insights. Proficient … Hadoop ecosystem technologies including HDFS, Hive, Spark, Sqoop, Kafka, Oozie, and YARN , along with SQL and cloud-based data platforms Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend ...

lineage. Support Data Governance initiatives, ensuring data security, privacy and compliance standards are maintained. Work with large and complex datasets using SQL, Python, Spark, Hadoop and modern data technologies. Collaborate with technical and business stakeholders within Agile delivery environments. Support data architecture and data modelling activities across enterprise platforms. … skills and proficiency in Python or similar programming languages. Experience with ETL/ELT tools, data warehousing and automated data pipelines. Knowledge of Spark, Hadoop or similar big data technologies. Strong understanding of Data Governance principles, policies, controls and data lifecycle management. Experience working within Agile delivery environments. Familiarity ...

processes critical business information across our organization. The Platform You’ll be supporting a modern Big Data platform built on industry‐standard technologies including Hadoop, Hive, Impala, Spark, Kafka, and other open‐source tools. This platform handles massive volumes of data daily, supporting analytics, reporting, and business‐critical operations. … watch for issues, and hand over to teams in other regions to maintain 24/7 coverage Troubleshoot problems – Investigate and resolve issues with Hadoop, Spark, databases, and data processing jobs, working with other teams when needed Manage scheduled jobs – Monitor thousands of automated jobs running daily, investigate failures ...

Data Platform technologies. Experience operating within Data Product, Data Platform or Enterprise Data environments. Financial Services experience. Knowledge of legacy platform migration initiatives including Hadoop, Teradata, Oracle or SAS environments. Experience working within data governance, security and regulatory environments ...