776 to 800 of 848 ETL Jobs in the UK excluding London

Python, SQL/Oracle databases, and Airflow orchestration. Key Responsibilities Develop interactive dashboards and reports using Power BI to support data-driven decision-making. Design, build, and maintain robust ETL pipelines and workflows using Python and Airflow. Manage and optimize SQL and Oracle databases for performance, scalability, and reliability. Lead end-to-end data and reporting projects, from requirements gathering … BI. Strong proficiency in Python for data processing and automation. Solid understanding of SQL and Oracle database systems. Hands-on experience with Airflow for workflow orchestration. Deep knowledge of ETL/ELT processes and data architecture principles. Excellent communication and stakeholder management skills. What you need to do now If you're interested in this role, click 'apply now' to More ❯

BI, Python, SQL/Oracle databases, and Airflow orchestration.Key Responsibilities Develop interactive dashboards and reports using Power BI to support data-driven decision-making. Design, build, and maintain robust ETL pipelines and workflows using Python and Airflow. Manage and optimize SQL and Oracle databases for performance, scalability, and reliability. Lead end-to-end data and reporting projects, from requirements gathering … BI. Strong proficiency in Python for data processing and automation. Solid understanding of SQL and Oracle database systems. Hands-on experience with Airflow for workflow orchestration. Deep knowledge of ETL/ELT processes and data architecture principles. Excellent communication and stakeholder management skills. What you need to do now If you're interested in this role, click 'apply now' to More ❯

will have recent experience owning & delivering an Azure-based data platforms (Databricks, streaming device data, Smart Data, ERP systems) coupled with hands on capabilites implementing robust data ingestions pipelines (ETL/ELT) and introduced even-driven architecture (Kafka) to enable scalable, real-time solutions. Our client is offering a basic salary between £120,000 to £140, % bonus/40% LTIP … a must have. Demonstrable industry experience of a regulated environment (finance or banking preferred) is a must have. Extensive experience in large complex data engineering projects, designing and developing ETL pipelines and moving into Cloud is a must have. Strong experience in data migration techniques from SQL server estate into Azure cloud services is a must have. Understanding of data More ❯

a strategic leader the role holder will be expected to work beyond technology to influence decisions and outcomes for the greater good. Job Details Data Platform Operations : Managing production ETL/ELT pipelines and data orchestration frameworks. Ensuring data platform security, compliance, and access controls. Implementing and governing data quality, lineage, observability, and metadata management. Ensuring the sustainability and scalability … best practices to meet quality measures and guarantee the achievement of high-quality outcomes. Skills we would love you to have Proficiency with traditional database and cloud data platform ETL technologies Proficiency with Big Data integration technologies Significant experience of CI/CD, data platform engineering, testing and release principle/best practice Significant experience in a business within a More ❯

Senior Data Analyst - GCP, PostregSQL, AWS, ETL, SQL - Hybrid, Milton Keynes A large global organisation are looking to hire a Senior Data Analyst to lead end-to-end data workflows from requirement to delivery including data product creation and secure data transfer from Google Cloud Platform to PostgreSQL. This will be a full time permanent position. The role will be … prioritizing clarity, reusability, and efficiency. Build and manage workflow orchestrations (eg, Airflow DAGs) to automate those views, ensuring reliable execution on daily, weekly, or customized schedules. Execute Cross Platform ETL with AWS Glue Develop, deploy, and maintain AWS Glue jobs to extract data from GCP (such as BigQuery or GCS) and load it into PostgreSQL. Set up secure connectivity, schedule … jobs via cron or trigger mechanisms, and ensure data pipelines are reliable and idempotent. Monitor, Troubleshoot & Resolve Incidents Continuously oversee ETL workflows in Airflow and AWS Glue, proactively responding to alerts and errors. Conduct root cause analysis for pipeline failures-whether due to schema mismatches or performance bottlenecks-and apply robust fixes. Document resolutions to strengthen system resilience. Design, Build More ❯

Cosmos DB, and JSON data handling Digital & Web Analytics: Hands-on expertise with Google 360 (GA, GTM, Data Studio), user journey analysis, goal tracking, and dashboard/report building ETL & Dashboarding: Designing and managing ETL pipelines using Google Dataprep; building dashboards using Google Data Studio, SQL, Google Sheets, and GA data Agile & Collaboration Tools: Comfortable working in Agile (Scrum/ More ❯

years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Key job responsibilities • Design, develop, and oversee the reporting pipelines to onboard internal and external data sources provided metrics into reporting and measurement tool, using appropriate technologies (e.g., SQL … Oracle, NoSQL etc. experience • Knowledge of paid media buying and general marketing • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modeling, warehousing and building ETL pipelines • Experience writing complex SQL queries • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelling • Experience developing and … of new metrics allowing better understanding of the performance of the business Preferred qualifications • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets • Experience with forecasting and statistical analysis • Adjacency and understanding on media and marketing landscape • Experience in code More ❯

years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Key job responsibilities • Design, develop, and oversee the reporting pipelines to onboard internal and external data sources provided metrics into reporting and measurement tool, using appropriate technologies (e.g., SQL … Oracle, NoSQL etc. experience • Knowledge of paid media buying and general marketing • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modeling, warehousing and building ETL pipelines • Experience writing complex SQL queries • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelling • Experience developing and … of new metrics allowing better understanding of the performance of the business Preferred qualifications • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets • Experience with forecasting and statistical analysis • Adjacency and understanding on media and marketing landscape • Experience in code More ❯

years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Key job responsibilities • Design, develop, and oversee the reporting pipelines to onboard internal and external data sources provided metrics into reporting and measurement tool, using appropriate technologies (e.g., SQL … Oracle, NoSQL etc. experience • Knowledge of paid media buying and general marketing • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modeling, warehousing and building ETL pipelines • Experience writing complex SQL queries • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelling • Experience developing and … of new metrics allowing better understanding of the performance of the business Preferred qualifications • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets • Experience with forecasting and statistical analysis • Adjacency and understanding on media and marketing landscape • Experience in code More ❯

ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL More ❯

ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL More ❯

ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL More ❯

ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL More ❯

ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You'll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL More ❯

enhance performance and quality. • Collaborate with internal customers to define and optimise their data requirements. • Ensure data compliance and governance across multiple systems and workflows. • Work with SQL, noSQL, ETL, and API-based data exchange frameworks. • Support innovation by exploring and integrating Generative AI, NLP, and OCR technologies. • Contribute to the adoption of modern big data and containerisation technologies. Skills … Experience • Proven experience with SQL technologies (e.g. MS SQL, Oracle). • Experience with noSQL databases (e.g. MongoDB, InfluxDB, Neo4J). • Strong data exchange and processing expertise (ETL, ESB, API). • Programming experience, ideally in Python. • Understanding of big data technologies (e.g. Hadoop stack). • Knowledge of NLP and OCR methodologies. • Familiarity with Generative AI concepts and tools (advantageous). • Experience More ❯

enhance performance and quality. • Collaborate with internal customers to define and optimise their data requirements. • Ensure data compliance and governance across multiple systems and workflows. • Work with SQL, noSQL, ETL, and API-based data exchange frameworks. • Support innovation by exploring and integrating Generative AI, NLP, and OCR technologies. • Contribute to the adoption of modern big data and containerisation technologies. Skills … Experience • Proven experience with SQL technologies (e.g. MS SQL, Oracle). • Experience with noSQL databases (e.g. MongoDB, InfluxDB, Neo4J). • Strong data exchange and processing expertise (ETL, ESB, API). • Programming experience, ideally in Python. • Understanding of big data technologies (e.g. Hadoop stack). • Knowledge of NLP and OCR methodologies. • Familiarity with Generative AI concepts and tools (advantageous). • Experience More ❯

enhance performance and quality. • Collaborate with internal customers to define and optimise their data requirements. • Ensure data compliance and governance across multiple systems and workflows. • Work with SQL, noSQL, ETL, and API-based data exchange frameworks. • Support innovation by exploring and integrating Generative AI, NLP, and OCR technologies. • Contribute to the adoption of modern big data and containerisation technologies. Skills … Experience • Proven experience with SQL technologies (e.g. MS SQL, Oracle). • Experience with noSQL databases (e.g. MongoDB, InfluxDB, Neo4J). • Strong data exchange and processing expertise (ETL, ESB, API). • Programming experience, ideally in Python. • Understanding of big data technologies (e.g. Hadoop stack). • Knowledge of NLP and OCR methodologies. • Familiarity with Generative AI concepts and tools (advantageous). • Experience More ❯

enhance performance and quality. • Collaborate with internal customers to define and optimise their data requirements. • Ensure data compliance and governance across multiple systems and workflows. • Work with SQL, noSQL, ETL, and API-based data exchange frameworks. • Support innovation by exploring and integrating Generative AI, NLP, and OCR technologies. • Contribute to the adoption of modern big data and containerisation technologies. Skills … Experience • Proven experience with SQL technologies (e.g. MS SQL, Oracle). • Experience with noSQL databases (e.g. MongoDB, InfluxDB, Neo4J). • Strong data exchange and processing expertise (ETL, ESB, API). • Programming experience, ideally in Python. • Understanding of big data technologies (e.g. Hadoop stack). • Knowledge of NLP and OCR methodologies. • Familiarity with Generative AI concepts and tools (advantageous). • Experience More ❯

enhance performance and quality. • Collaborate with internal customers to define and optimise their data requirements. • Ensure data compliance and governance across multiple systems and workflows. • Work with SQL, noSQL, ETL, and API-based data exchange frameworks. • Support innovation by exploring and integrating Generative AI, NLP, and OCR technologies. • Contribute to the adoption of modern big data and containerisation technologies. Skills … Experience • Proven experience with SQL technologies (e.g. MS SQL, Oracle). • Experience with noSQL databases (e.g. MongoDB, InfluxDB, Neo4J). • Strong data exchange and processing expertise (ETL, ESB, API). • Programming experience, ideally in Python. • Understanding of big data technologies (e.g. Hadoop stack). • Knowledge of NLP and OCR methodologies. • Familiarity with Generative AI concepts and tools (advantageous). • Experience More ❯

into spatial decision-making tools. Create interactive dashboards and maps for stakeholder engagement. Data Management & Quality Assurance Establish data governance protocols for spatial data accuracy, completeness, and consistency. Implement ETL workflows using ArcGIS Data Interoperability tools or third-party solutions. Manage metadata standards and spatial data cataloging. Security & Access Control Configure role-based access controls and user permissions. Ensure compliance … ArcGIS Enterprise and managing spatial data infrastructures. Strong knowledge of spatial analysis, environmental modelling, and energy planning. Proficiency in Python, ModelBuilder, and ArcPy for automation. Experience with data migration, ETL tools, and system integration. Familiarity with cloud-based GIS deployments and hybrid architectures. Desirable Skills/Knowledge/Experience Experience with community engagement tools and participatory GIS. Experience with Agile More ❯

and efficient data architectures. Define and enforce data governance standards, including data quality and metadata management. Collaborate with stakeholders to align data solutions with business objectives. Oversee data integration, ETL/ELT processes, and pipeline orchestration. Optimize data storage solutions across relational, NoSQL, and data lake environments. Leverage AWS data platforms and services to deliver enterprise-grade solutions. Stay ahead … data-focused role. Expertise in data modelling techniques and tools. Strong knowledge of data storage solutions (relational, NoSQL, data lakes). Hands-on experience with data integration patterns and ETL/ELT processes. Proficiency in AWS data platforms and services. Solid understanding of data governance principles (data quality, metadata, access control). Familiarity with big data technologies (Spark, Hadoop) and More ❯

CRMs. This role is focused on organizing and coordinating data exports, quality checks, and handover to our Data Engineering team — without the need for deep coding or building full ETL pipelines. The ideal candidate is detail-oriented, disciplined in security and documentation, and comfortable working with technical tools (SQL, SFTP, APIs) at a practical level. Strong communication skills in English … escalation of blockers. Transfer to DE work: issuing access and artifacts, answers to clarifying questions about the origin of data. What is NOT required Write full-fledged connectors/ETL or complex backend. Design data models from scratch. Do advanced analytics - only basic checks according to checklists. Tools: Postman/Insomnia, WinSCP/FileZilla/Termius, SSH/SFTP/ More ❯

CRMs. This role is focused on organizing and coordinating data exports, quality checks, and handover to our Data Engineering team — without the need for deep coding or building full ETL pipelines. The ideal candidate is detail-oriented, disciplined in security and documentation, and comfortable working with technical tools (SQL, SFTP, APIs) at a practical level. Strong communication skills in English … escalation of blockers. Transfer to DE work: issuing access and artifacts, answers to clarifying questions about the origin of data. What is NOT required Write full-fledged connectors/ETL or complex backend. Design data models from scratch. Do advanced analytics - only basic checks according to checklists. Tools: Postman/Insomnia, WinSCP/FileZilla/Termius, SSH/SFTP/ More ❯

/Data Engineer with experience primarily focussed on Power BI & SQL Server BI toolset (SQL/SSRS/SSIS). The team is involved with data insight, data transformation, ETL tasks, National Submission work and reporting for the trust from various systems. Currently this is designed in a data warehouse and tabular models and presented using SSRS and Power BI. … in maintaining business critical databases and data warehouse Experience in relational database management systems (RDBMS) normalisation and de-normalisation, building and maintaining an enterprise data warehouse Significant experience of ETL and data warehouse schemas Experience of documenting processes so they can be easily understood Experience in the use of database extraction tools to develop complex queries Experience of pulling together More ❯

Position: Principal Consultant Employment Type: Permanent Language(s): English Salary: Up to £105,000 p/a + bonus and benefits Client – Partnered with a global leader in digital transformation and IT services, working with some of the world’s More ❯