201 to 225 of 465 ETL Jobs in England

analysis Experience in time series database analysis Experience in large Business Transformation Programs involving process reengineering Extensive experience in UCD led approach, UI development, ETL processes, data flows analysis, cloud architecture, and data modernisation/transformation programs Excellent analytical and problem-solving skills, with the ability to think critically and ...

experience with both relational (e.g. PostgreSQL) and non-relational databases (e.g. Elasticsearch, Redis) Extensive experience in data warehousing architecture, big data processing and ETL Demonstrable expertise in Unix/Linux environments Experience with GIT and working in collaborative software environments Willingness to learn new skills as required by the project ...

business needs, provided it remains aligned with the overall purpose of the position. Data Extraction & Integration Design, build, and maintain reliable data pipelines to extract data from Azure, Salesforce, Halo ITSM, and other internal or third-party systems. Develop automated ETL processes to ensure timely, accurate, and scalable data refresh … organisations. Strong Python experience (essential), including use for data analysis, automation, modelling, and system integration. Advanced SQL skills and experience building and maintaining ETL pipelines. Advanced Power BI expertise, including DAX, dataflows, model optimisation, and performance tuning. Proven experience extracting and working with data from Azure, Salesforce, and ITSM platforms ...

passionate about how data drives the industry and to help optimise campaigns, measure performance, and monetise content. Key Responsibilities Design, build, and maintain scalable ETL/ELT pipelines that transform raw data into reliable, analytics-ready datasets Ingest, integrate, and manage new data sources across advertising, audience, platform, and content … Proven experience with cloud-based data platforms (Azure, AWS, SQL, Snowflake, Springserv); Strong proficiency in Spark SQL and PySpark , including complex transformations Experience building ETL/ELT pipelines using tools such as Azure Data Factory or equivalent Ability to write efficient, reusable scripts for transformation, validation, and automation Hands ...

major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and … with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and ...

major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and … with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and ...

major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and … with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and ...

major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and … with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and ...

major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). · Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). · Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and … with document processing pipelines, chunking strategies, and semantic search patterns. · Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. · Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). · Analytics, BI, and ...

major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). · Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). · Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and … with document processing pipelines, chunking strategies, and semantic search patterns. · Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. · Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). · Analytics, BI, and ...

major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). · Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). · Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and … with document processing pipelines, chunking strategies, and semantic search patterns. · Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. · Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). · Analytics, BI, and ...

lead the development and operation of the organisation's data engineering capability, ensuring that data is efficiently extracted from source systems, transformed through robust ETL/ELT processes, and loaded into well-structured data models that support strategic reporting, analytics, and Business Intelligence. The post-holder will develop scalable pipelines … professional qualification within Data Engineering.Technical ExperienceYou'll need:Experience as a Data Engineer or in a similar technical data role.Experience designing, building, and maintaining ETL/ELT pipelines.Hands-on experience with orchestration tools such as SSIS, Azure Data Factory, or similar.Practical experience implementing data validation, exception reporting, reconciliation checks, and ...

and optimising data pipelines that form the foundation of our reporting and analytics ecosystem. Using your technical expertise, you will design and maintain efficient ETL processes to integrate data from systems such as ServiceNow, JIRA, and Dynatrace, ensuring accuracy, performance, and scalability. You will thrive in a fast-paced, collaborative … ideal role for you! Contract - 6 months Location - Cambridge (2 days onsite) Rate - Flexible (inside IR35) Responsibilities: Design, build, and maintain scalable ETL pipelines in Databricks to integrate data from multiple business systems such as ServiceNow, JIRA, and ADO. Optimise data workflows for performance, scalability, and reliability. Implement data validation ...

design robust, secure, and future-ready data solutions that support analytics, AI, and strategic decision-making. What Youll Do: Build, test, and maintain ETL/ELT pipelines for structured and unstructured data. Design and optimise data warehouses, lakes, and cloud-native platforms . Implement monitoring, security, and compliance frameworks … with modern technologies, including cloud platforms, orchestration tools, and streaming frameworks . What Were Looking For: Strong SQL & Python skills. Hands-on experience with ETL/ELT tools (e.g., Matillion, Talend, FiveTran, Azure Data Factory). Experience designing and managing cloud data platforms (Snowflake essential; AWS/Azure/ ...

pipelines, models, and performance. In this role, you will: Design, build, and maintain scalable data pipelines in Azure and Snowflake Develop and optimise ETL and ELT processes for batch and micro-batch workloads Build and enhance enterprise data warehouse models Write and optimise complex SQL queries for analytics and reporting … platforms (Azure preferred) Strong expertise in Azure Data Factory, Azure SQL, Azure Storage, Azure Functions, and Snowflake (1+ year) Advanced SQL skills, including complex ETL and dimensional/data modeling Experience building batch and micro-batch data pipelines Deep understanding of enterprise data warehouse architecture and methodologies Experience working with ...

understand business requirements for data migration. Design and implement robust data migration strategies. Develop scripts and processes to automate data extraction, transformation, and loading (ETL) processes. Work closely with stakeholders, including business users and IT teams, to ensure data requirements are met, and migrations proceed without disruption to business operations. … Responsibilities: Plan, coordinate, and execute data migration projects within set timelines. Design and build ETL solutions, ensuring data quality and integrity throughout the migration process. Troubleshoot and resolve data-related issues promptly to minimise disruption. Collaborate with various teams to align migration processes with organisational goals and regulatory standards. Proficiency ...

Office. (Hybrid) Job Type: 12 Month Fixed Term Job Summary: Role Overview We are seeking an experienced AWS Data Engineer with strong expertise in ETL pipelines, Redshift, Iceberg, Athena, and S3 to support large-scale data processing and analytics initiatives in the telecom domain . The candidate will work closely … build scalable and efficient data solutions supporting network analytics, customer insights, billing systems, and telecom OSS/BSS workflows. Key Responsibilities 1. Data Engineering & ETL Development Design, develop, and maintain ETL/ELT pipelines using AWS-native services (Glue, Lambda, EMR, Step Functions). Implement data ingestion from telecom systems ...

e.g. BigQuery) -3+ years of experience in Analytics Engineering or a related field -Technical experience with advanced modelling techniques in dbt -Understanding of ETL/ELT processes -Experience with BI semantic layers and data visualisation tools -Understanding of dimensional modelling, analytics and data warehousing principles best practices -Clear communication ...

standards and continuous improvement Skills & experience Strong background as a senior/staff data engineer Snowflake, SQL and Matillion expertise Experience across data pipelines, ETL/ELT and BI engineering Technical leadership across multiple teams (non-people management) Strong troubleshooting and decision-making capability ...

Skills & Experience: Hands-on experience with Palantir Foundry or Gotham Strong background in data consultancy, data engineering, or analytics Technical skills: SQL, Python, ETL, BI tools, and data modelling Comfortable with client-facing delivery , translating complex data into actionable solutions SC Cleared (essential) This is a unique opportunity to work ...

Experience Ability to define and document Test Approaches and Test Completion reports Proficiency with JIRA, Test Management Tools (e.g., Jira Zephyr Scale), GIT ETL experience Excellent written and verbal communication skills Experience in Integration Testing ...

Experience Ability to define and document Test Approaches and Test Completion reports Proficiency with JIRA, Test Management Tools (e.g., Jira Zephyr Scale), GIT ETL experience Excellent written and verbal communication skills Experience in Integration Testing ...

Engineer contractor to work on a large-scale transformation project. Data Engineer, key skills: Good knowledge of a data scripting Language Strong understanding of ETL/ELT processes Experience of Azure MUST have Databricks experience Strong experience with relational and big data engines Knowledge of good data pipeline implementation and ...

Data Engineer needed in Newbury Paying £271.57 per day ref 5289648 Full time hours on a temporary basis Key Responsibilities Design, develop, and maintain ETL/ELT pipelines using SSIS in production environments. Engineer high-quality data integration solutions following best-practice patterns including incremental loads, CDC, SCD, data quality ...

strong hands-on experience in designing and delivering enterprise-scale data pipelines using AWS Glue and PySpark. The role will involve building and optimising ETL processes, working with raw and curated datasets, and ensuring data is processed efficiently and to a high standard. You will be responsible for developing scalable ...