376 to 400 of 691 ETL Jobs in the UK excluding London

Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). Understanding of statistical methods and A/B testing . Excellent storytelling and communication skills to More ❯

Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). Understanding of statistical methods and A/B testing . Excellent storytelling and communication skills to More ❯

Strong SQL skills for data extraction, transformation, and pipeline development. Proficiency with data visualization tools (Tableau, Qlik, or similar). Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes . Working knowledge of Python or R for analytics or automation (preferred). Understanding of statistical methods and A/B testing . Excellent storytelling and communication skills to More ❯

technologies Supporting internal customers across multiple teams and functions ?? What You'll Bring Experience with SQL & NoSQL databases (e.g. MS SQL, MongoDB, Neo4J) Python skills for scripting and automation ETL and data exchange experience (e.g. APIs, ESB tools) Knowledge of Big Data (e.g. Hadoop) Curiosity about AI, particularly NLP, OCR or Generative AI ?? Bonus Points For Docker/containerisation experience More ❯

develop and maintain robust data pipelines using PostgreSQL and Airflow or Apache Spark Collaborate with frontend/backend developers using Node.js or React Implement best practices in data modelling, ETL processes and performance optimisation Contribute to containerised deployments (Docker/Kubernetes) - experience in this area is desirable, not essential Operate within Agile teams and support DevOps practices What We're More ❯

You'll bring: Experience in analytics, AI/data science, or data product environments - ideally within ad tech, media, or digital. Strong grasp of data warehousing concepts - data flows, ETL, dimensional modelling, and data quality. Solid SQL skills and the ability to interrogate complex data from diverse sources. Hands-on understanding of cloud-based data architectures A proven ability to More ❯

tools like Purview , Collibra, Informatica, or Alation. Strong SQL skills and familiarity with Azure , Microsoft Fabric , or other cloud platforms. Knowledge of UK GDPR, Data Protection Act 2018, and ETL processes. Desirable: Certifications such as DAMA/CDMP. Experience in data remediation, migration, and quality improvement projects. Rewards & Benefits 30 days' holiday (plus option to buy more). Double-matched More ❯

Cognos BI Analytics BI methodologies, best practices on BI architecture Cognos Framework Manager and data module - metadata-modelling(CQM and DQM) Desired skills : some understanding of data warehouse and ETL processes using SSIS, OLAP and tabular cubes using SSAS using MDX and DAX for reporting off cubes as the source using DevOps for version control and deployment some understanding of More ❯

exceptional listening, communication, and interpersonal skills to support a high-functioning delivery culture. Be highly organised and skilled in planning and presenting. Whilst not essential SQL, data modelling, and ETL process experience would be an advantage. What’s in it for you? A starting salary of £70,000 and up to £80,000 per annum, depending on skills and experience. More ❯

across cloud platforms. Your work will underpin data quality and ensure that insights are built on trusted, consistent data. Key Responsibilities: Design and implement automated tests for data pipelines, ETL processes and APIs across AWS and Azure environments. Develop and maintain test frameworks that validate data quality, completeness and integrity. Collaborate with engineering teams to identify data defects, root causes … and define quality metrics for ongoing improvement. Contribute to process refinement, ensuring scalable and efficient data testing practices. Person Specification: Strong understanding of data engineering concepts, data models and ETL workflows. Experience creating automated data validation scripts or frameworks using SQL, Python, or PySpark. Proficient in testing data within cloud ecosystems (AWS, Azure (preferred) or GCP). Experience with testing More ❯

to power our trading, operational, and marketing intelligence. About the Role We are seeking a Senior Data Engineer to lead the technical build-out of this initiative — from designing ETL pipelines to creating a secure, scalable data warehouse that underpins business-critical reporting and analytics. This is a high-impact role at the intersection of technology and financial insight, ideal … trading-driven organisations, willing to grow into a Head of Data. Responsibilities Design, develop, and deploy a robust data infrastructure leveraging cloud-based services (AWS). Build and maintain ETL pipelines feeding data from multiple internal systems (trading, CRM, RUM, finance) into a central Data Lakehouse. Implement best practices for data ingestion, validation, transformation, and storage using modern cloud tools … Key Objectives for the first six months Define the core data architecture and choice of toolset. Define data models. Establish a secure and automated data development cycle. Build foundational ETL pipelines. Project Ownership Drive the full lifecycle of the data centre project, establishing foundations for downstream reporting and BI functions. Support future integration of a dedicated Data & Reporting Analyst role More ❯

to power our trading, operational, and marketing intelligence. About the Role We are seeking a Senior Data Engineer to lead the technical build-out of this initiative — from designing ETL pipelines to creating a secure, scalable data warehouse that underpins business-critical reporting and analytics. This is a high-impact role at the intersection of technology and financial insight, ideal … trading-driven organisations, willing to grow into a Head of Data. Responsibilities Design, develop, and deploy a robust data infrastructure leveraging cloud-based services (AWS). Build and maintain ETL pipelines feeding data from multiple internal systems (trading, CRM, RUM, finance) into a central Data Lakehouse. Implement best practices for data ingestion, validation, transformation, and storage using modern cloud tools … Key Objectives for the first six months Define the core data architecture and choice of toolset. Define data models. Establish a secure and automated data development cycle. Build foundational ETL pipelines. Project Ownership Drive the full lifecycle of the data centre project, establishing foundations for downstream reporting and BI functions. Support future integration of a dedicated Data & Reporting Analyst role More ❯

to define the data vision and enable meaningful business transformation. Key Responsibilities Lead the design and implementation of a modern cloud data platform (Azure, AWS, or GCP). Develop ETL/ELT pipelines to manage structured and unstructured data at scale. Enable self-service BI and deliver insights through Power BI dashboards and advanced analytics. Integrate AI and automation into … teams in complex organisations. Expertise in cloud data platforms and data processing services. Strong skills in Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer More ❯

to define the data vision and enable meaningful business transformation. Key Responsibilities Lead the design and implementation of a modern cloud data platform (Azure, AWS, or GCP). Develop ETL/ELT pipelines to manage structured and unstructured data at scale. Enable self-service BI and deliver insights through Power BI dashboards and advanced analytics. Integrate AI and automation into … teams in complex organisations. Expertise in cloud data platforms and data processing services. Strong skills in Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer More ❯

to define the data vision and enable meaningful business transformation. Key Responsibilities Lead the design and implementation of a modern cloud data platform (Azure, AWS, or GCP). Develop ETL/ELT pipelines to manage structured and unstructured data at scale. Enable self-service BI and deliver insights through Power BI dashboards and advanced analytics. Integrate AI and automation into … teams in complex organisations. Expertise in cloud data platforms and data processing services. Strong skills in Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer More ❯

work with complex datasets. Technical knowledge in data models, database design, data mining, and segmentation preferred. Experience with reporting tools (e.g., Business Objects), databases (SQL), and programming (XML, JavaScript, ETL frameworks). Advanced Microsoft Excel skills, including formulas, pivot tables, and data manipulation. Experience with statistical analysis tools (Excel, SPSS, SAS, etc.). Familiarity with facilities management systems (e.g., Maximo More ❯

them to SDR requirements. Advanced knowledge of data quality frameworks, master data management, metadata, and reference data hierarchies. Proficiency in data validation, cleansing technologies, and lineage tracking. Familiarity with ETL/integration pipelines and validation of outputs for regulatory purposes. Excellent written and verbal communication skills, able to interpret regulatory guidance and influence business stakeholders. Experience of leading forums, stewardship More ❯

in SQL for data extraction, transformation, and pipeline development. Experience with dashboarding and visualization tools (Tableau, Qlik, or similar). Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (A/B testing) preferred. Machine learning and Generative AI experience More ❯

performance tuning, and pushing both on-premises and cloud environments to their best, this is your next move. Your toolkit:? SQL Server (HA/DR, Always On, T-SQL)? ETL tools - SSIS, ADF, Informatica, or Talend? GitHub/Bitbucket? Bonus: PostgreSQL, MySQL, MongoDB, Redgate Suite Sound like you Let's talk. We're shortlisting now - apply today and take the More ❯

performance tuning, and pushing both on-premises and cloud environments to their best, this is your next move. Your toolkit:? SQL Server (HA/DR, Always On, T-SQL)? ETL tools - SSIS, ADF, Informatica, or Talend? GitHub/Bitbucket? Bonus: PostgreSQL, MySQL, MongoDB, Redgate Suite Sound like you Let's talk. We're shortlisting now - apply today and take the More ❯

tools such as dbt and Airflow. Additional skills in The successful candidate should have the following skills: Extensive hands-on experience with Snowflake data platform. Proficiency in SQL and ETL/ELT processes. Strong programming skills in Python. Extended skills across AWS, Azure, dbt, Airflow etc. Could this be of interest? If so, please get in touch with Alex at More ❯

tools such as dbt and Airflow. Additional skills in The successful candidate should have the following skills: Extensive hands-on experience with Snowflake data platform. Proficiency in SQL and ETL/ELT processes. Strong programming skills in Python. Extended skills across AWS, Azure, dbt, Airflow etc. Could this be of interest? If so, please get in touch with Alex at More ❯

services Design solutions for client problem sets based on their descriptions and by exploration of the data landscape Assist in the design, development, and maintenance of data pipelines and ETL processes to build data and action models to address the workflow needs Build and edit operational workflows, including front ends and decision-support toolsets, inclusive of native Palantir tooling and More ❯

services Design solutions for client problem sets based on their descriptions and by exploration of the data landscape Assist in the design, development, and maintenance of data pipelines and ETL processes to build data and action models to address the workflow needs Build and edit operational workflows, including front ends and decision-support toolsets, inclusive of native Palantir tooling and More ❯

services Design solutions for client problem sets based on their descriptions and by exploration of the data landscape Assist in the design, development, and maintenance of data pipelines and ETL processes to build data and action models to address the workflow needs Build and edit operational workflows, including front ends and decision-support toolsets, inclusive of native Palantir tooling and More ❯