1 to 25 of 98 Hadoop Jobs in the UK excluding London

Solid understanding of ETL processes , data modeling, and data warehousing. Familiarity with SQL and relational databases. Knowledge of big data technologies , such as Spark, Hadoop, or Kafka, is a plus. Strong problem-solving skills and the ability to work in a collaborative team environment. Excellent verbal and written communication More ❯

AWS Certified Data Engineer, or AWS Certified Data Analytics, or AWS Certified Solutions Architect Experience with big data tools and technologies like Apache Spark, Hadoop, and Kafka Knowledge of CI/CD pipelines and automation tools such as Jenkins or GitLab CI About Adastra For more than 25 years More ❯

data modeling . Experience with relational and NoSQL databases such as Oracle, Sybase, PostgreSQL, SQL Server, MongoDB . Familiarity with big data platforms (e.g., Hadoop, Snowflake). Prior experience with ETL tools or as a SQL developer . Proficiency in Python for data engineering and Tableau for reporting and More ❯

roles, with 5+ years in leadership positions. Expertise in modern data platforms (e.g., Azure, AWS, Google Cloud) and big data technologies (e.g., Spark, Kafka, Hadoop). Strong knowledge of data governance frameworks, regulatory compliance (e.g., GDPR, CCPA), and data security best practices. Proven experience in enterprise-level architecture design More ❯

roles, with 5+ years in leadership positions. Expertise in modern data platforms (e.g., Azure, AWS, Google Cloud) and big data technologies (e.g., Spark, Kafka, Hadoop). Strong knowledge of data governance frameworks, regulatory compliance (e.g., GDPR, CCPA), and data security best practices. Proven experience in enterprise-level architecture design More ❯

roles, with 5+ years in leadership positions. Expertise in modern data platforms (e.g., Azure, AWS, Google Cloud) and big data technologies (e.g., Spark, Kafka, Hadoop). Strong knowledge of data governance frameworks, regulatory compliance (e.g., GDPR, CCPA), and data security best practices. Proven experience in enterprise-level architecture design More ❯

data architecture, data modelling, ETL/ELT processesand data pipeline development. Competency with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark, Kafka etc). Excellent communication and leadership skills, with the ability to engage and influence stakeholders at all levels. Insightful problem-solving skills More ❯

data architecture, data modelling, ETL/ELT processesand data pipeline development. Competency with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark, Kafka etc). Excellent communication and leadership skills, with the ability to engage and influence stakeholders at all levels. Insightful problem-solving skills More ❯

data architecture, data modelling, ETL/ELT processesand data pipeline development. Competency with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark, Kafka etc). Excellent communication and leadership skills, with the ability to engage and influence stakeholders at all levels. Insightful problem-solving skills More ❯

data architecture, data modelling, ETL/ELT processesand data pipeline development. Competency with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark, Kafka etc). Excellent communication and leadership skills, with the ability to engage and influence stakeholders at all levels. Insightful problem-solving skills More ❯

data architecture, data modelling, ETL/ELT processesand data pipeline development. Competency with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark, Kafka etc). Excellent communication and leadership skills, with the ability to engage and influence stakeholders at all levels. Insightful problem-solving skills More ❯

data architecture, data modelling, ETL/ELT processesand data pipeline development. Competency with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark, Kafka etc). Excellent communication and leadership skills, with the ability to engage and influence stakeholders at all levels. Insightful problem-solving skills More ❯

experience in data engineering, including working with AWS services. Proficiency in AWS services like S3, Glue, Redshift, Lambda, and EMR. Knowledge of Cloudera-based Hadoop is a plus. Strong ETL development skills and experience with data integration tools. Knowledge of data modeling, data warehousing, and data transformation techniques. Familiarity More ❯

Experience in commodities markets or broader financial markets. Knowledge of quantitative modeling, risk management, or algorithmic trading. Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar. Why Work With Us? Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions. Innovative More ❯

or platform management roles, with5+ years in leadership positions. Expertise inmodern data platforms (e.g., Azure, AWS, Google Cloud) and big datatechnologies (e.g., Spark, Kafka,Hadoop). Strong knowledge of data governanceframeworks, regulatory compliance (e.g., GDPR, CCPA), and datasecurity best practices. Proven experience inenterprise-level architecture design andimplementation. Hands-on More ❯

or platform management roles, with5+ years in leadership positions. Expertise inmodern data platforms (e.g., Azure, AWS, Google Cloud) and big datatechnologies (e.g., Spark, Kafka,Hadoop). Strong knowledge of data governanceframeworks, regulatory compliance (e.g., GDPR, CCPA), and datasecurity best practices. Proven experience inenterprise-level architecture design andimplementation. Hands-on More ❯

or platform management roles, with5+ years in leadership positions. Expertise inmodern data platforms (e.g., Azure, AWS, Google Cloud) and big datatechnologies (e.g., Spark, Kafka,Hadoop). Strong knowledge of data governanceframeworks, regulatory compliance (e.g., GDPR, CCPA), and datasecurity best practices. Proven experience inenterprise-level architecture design andimplementation. Hands-on More ❯

or platform management roles, with5+ years in leadership positions. Expertise inmodern data platforms (e.g., Azure, AWS, Google Cloud) and big datatechnologies (e.g., Spark, Kafka,Hadoop). Strong knowledge of data governanceframeworks, regulatory compliance (e.g., GDPR, CCPA), and datasecurity best practices. Proven experience inenterprise-level architecture design andimplementation. Hands-on More ❯

Engineering: Proficiency in developing and maintaining real-time data pipelines. Experience with ETL processes, Python, and SQL. Familiarity with big data technologies like Apache Hadoop and Apache Spark. MLOps & Deployment: Experience deploying and maintaining ML inference pipelines. Proficiency with Docker and Kubernetes. Familiarity with AWS cloud platform. The Perfect More ❯

Service Catalogue, Cloud Formation, Lake Formation, SNS, SQS, Event Bridge Language & Scripting: Python and Spark ETL: DBT Good to Have: Airflow, Snowflake, Big Data (Hadoop), and Teradata Responsibilities: Serve as the primary point of contact for all AWS related data initiatives and projects. Responsible for leading a team of More ❯

required for this role. Knowledge of cloud-based database solutions (AWS, Azure, Google Cloud) is an advantage. Preferred Qualifications: Experience with big data technologies (Hadoop, Spark, Snowflake) is a plus. Certification in database technologies or testing methodologies. Knowledge of scripting languages like Python or Shell scripting for test automation. More ❯

AWS Databases: MSSQL, PostgreSQL, MySQL, NoSQL Cloud: AWS (preferred), with working knowledge of cloud-based data solutions Nice to Have: Experience with graph databases, Hadoop/Spark, or enterprise data lake environments What You’ll Bring Strong foundation in computer science principles (data structures, algorithms, etc.) Experience building enterprise More ❯

TensorRT and Experience with NVIDIA GPU hardware and software stack Understanding of HPC and AI workloads. Familiarity with BigData platforms and technologies, such as Hadoop or Spark. More ❯

the ability to convey complex concepts to non-technical stakeholders. Desirable (but not essential): Experience with SSIS, AWS or Azure Data Factory. Familiarity with Hadoop, Jenkins, or DevOps practices including CI/CD. Cloud certifications (Azure or AWS). Knowledge of additional programming languages or ETL tools. This is 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 ❯