21 of 21 ETL Jobs in Bristol

technical requirements, success criteria and delivery plans. Elicit and translate business and technical requirements into data, integration and solution specifications. Design and implement scalable ETL pipelines and data models; own data quality, lineage and documentation. Build and operationalise predictive analytics and automated processes; ensure monitoring and maintainability. Develop high impact … and ability to map analytics to measurable business outcomes. Understanding of Python and SQL is not required but would be beneficial Solid knowledge of ETL, ETL design patterns, data warehousing and data governance. Problem solving mindset. Familiarity with Microsoft Azure and AI/ML platforms. Current security clearance, or ability ...

multi-functional teams. A strategic approach to problem-solving and technical decision-making. Core Areas (must have): Strong Python and SQL skills Experience with ETL flows, data pipelines, and orchestration tools Understanding of database architecture (SQL and NoSQL) Experience with cloud technologies Experience with cloud platforms Experience with CI/ ...

relational stores, and data warehouse principles.Solid experience with data modelling methodologies (dimensional modelling, star/snowflake schemas, data vault, etc.).Experience designing and operating ETL/ELT pipelines and modern workflow orchestration tools (e.g., Apache Airflow, Azure Data Factory, Azure Functions).Professional experience in delivering cloud-based data engineering solutions ...

outcomes and value of their work, and have working experience in some of the following:End-to-end development experience with data pipelines, ETL processes, workflow orchestration - using core concepts that apply across tech stacks.Working with diverse data sources and types - batch, streaming, real-time, and unstructured.Systems thinking and architectural ...

skills and techniques to effectively transform unstructured data and present it back in an informative fashion. Apply knowledge of data cleansing, Exact, Transform, Load (ETL) processes, database design, application, and visualization tools. Engage with clients to gather requirements and present findings in a clear and compelling way. Develop and maintain ...

based/columnar data stores, data warehousing and data lakes. Expert understanding of data pipeline patterns and approaches such as event‐driven architectures, ETL/ELT, stream processing and data visualisation. Experience working with business owners to translate business requirements into technical specifications and solution designs that satisfies the data ...

document, row-based/columnar data stores, data warehousing and data lakes.Expert understanding of data pipeline patterns and approaches such as event-driven architectures, ETL/ELT, stream processing and data visualisation.Experience working with business owners to translate business requirements into technical specifications and solution designs that satisfies the data ...

clearly.Translate business requirements into technical data solutions, ensuring alignment with client objectives and data strategy.Data Engineering & ArchitectureDesign, build, and optimise robust data pipelines and ETL/ELT processes on cloud platforms to ensure data quality, availability, and scalability.Develop and maintain data models, schemas, and data governance frameworks to support analytical … data-driven projects, including end-to-end data analysis, statistical modelling, and advanced analytics.Strong technical skills in data engineering, including designing, building, and optimising ETL/ELT processes.Hands-on experience working with cloud platforms (GCP, AWS, or Azure) for data storage, processing, and analytics services.Proficiency in SQL and at least ...

4+ years' experience in Data Analysis, Data Consulting, Analytics or a similar role Strong SQL and Python skills Experience with data quality, validation, ETL/ELT or integrations Exceptional communication and stakeholder management skills Comfortable explaining complex data concepts to both technical and non-technical audiences A consultative, solutions-focused ...

data models to support analytics, reporting and business insight. Integrating data from multiple business systems, including finance, CRM and operational platforms.Building robust ELT/ETL processes that deliver high levels of data quality, consistency and performance.Collaborating with technical and non-technical stakeholders to translate business requirements into scalable solutions.Applying best … Data Factory, Lakehouse, Warehouse, Notebooks and Power BI integration.Strong SQL skills and experience working with both relational and analytical data models.Experience building and maintaining ETL/ELT data pipelines.Knowledge of Azure data services and cloud-based data architectures.Understanding of data governance, security and data quality best practice.Strong problem-solving skills ...

models to support analytics, reporting and business insight. Integrating data from multiple business systems, including finance, CRM and operational platforms. Building robust ELT/ETL processes that deliver high levels of data quality, consistency and performance. Collaborating with technical and non-technical stakeholders to translate business requirements into scalable solutions. … Lakehouse, Warehouse, Notebooks and Power BI integration. Strong SQL skills and experience working with both relational and analytical data models. Experience building and maintaining ETL/ELT data pipelines. Knowledge of Azure data services and cloud-based data architectures. Understanding of data governance, security and data quality best practice. Strong ...

scope technologies/products: Google Cloud Platform (GCP) and comparable cloud-based data engineering services dbt Python SQL ETL/ELT tooling and methodologies Data modelling and data product development AI-enabled data development Testing and validation frameworks Master Data Management (MDM), including commercial off-the-shelf and bespoke solutions ...

planning to S&OP, inventory optimisation, and production scheduling.You're adept at designing end-to-end enterprise solutions, encompassing data architecture, integration strategies (APIs, ETL), security, and performance optimisation.Strong skills in data modelling, manipulation, and analytical techniques that are crucial for effective supply chain planning.Comfortable navigating complex integration landscapes, connecting ...

data processes What We're Looking For 3+ years' experience as a Data Analyst Strong SQL skills Python experience Experience with data validation or ETL Excellent problem-solving and communication skills Bonus points for: Git, APIs, dbt, LookML, Cube or financial data. If you're looking for a role where ...

with both technical teams and customersNice to HaveExperience with any of the following would be an advantage:SaaS or enterprise data environmentsData integration or ETL processesGit or other version control toolsFamiliarity with semantic layer tools such as Cube or LookMWhy Apply You’ll be joining a highly collaborative team where ...

Collaborating with data owners and business stakeholders to translate requirements into effective technical solutions.* Troubleshooting issues across the data lifecycle, from source systems and ETL processes through to front-end reporting.* Monitoring and improving report, dataset, and query performance.* Supporting BI governance, documentation, and best practices to ensure a scalable … data models within Power BI.* Advanced SQL skills, including complex query writing, optimisation, and working with large datasets.* Solid understanding of data warehousing principles, ETL/ELT processes, dimensional modelling, and data transformation.* Experience working with ETL/ELT tools such as Azure Data Factory, SSIS, or similar technologies.* Experience ...

Specifically, you can expect to be involved in the following: Lead the design, build, and enhancement of a modern Azure data platform. Develop scalable ETL and ELT pipelines using Azure Data Factory and Azure SQL. Implement robust data quality, validation, and monitoring frameworks. Deliver a layered data architecture that supports … following skills and experience: Strong commercial experience building and supporting production data platforms. Expertise with Azure Data Factory and Azure SQL. Experience developing ETL or ELT pipelines and transformation logic in production environments. Knowledge of data quality frameworks, validation processes, and monitoring. Experience implementing layered or medallion-style data architectures. ...

Palantir Foundry and Gotham:Ingesting, transforming, enriching, and integrating data from diverse sources into well-structured information assets within Palantir Foundry.Designing, building, and optimising ETL processes, data pipelines, and automated workflows for moving and processing data using Palantir Foundry tools.Optimising data systems for performance, scalability, reliability, and monitoring within Palantir … outcomes and value of their work, and have working experience in some of the following:End-to-end development experience with data pipelines, ETL processes, and workflow orchestration, with demonstrable experience in Palantir Foundry and Gotham.Working with diverse data sources and types – batch, streaming, real-time, and unstructured – and integrating ...

and best practices. Key Responsibilities Lead the design, development and ongoing evolution of robust, scalable data ingestion and processing pipelines. Provide technical leadership across ETL/ELT processes, data transformation and data integration services. Design and implement operational data stores and reference data services that support the Accounts platform and … technologies. Proven commercial experience developing data solutions using Python. Strong understanding of modern data engineering principles, practices and design patterns. Experience designing and implementing ETL/ELT pipelines and data processing frameworks. Experience working with data quality, reconciliation, monitoring and operational data management. Experience contributing to data architecture and governance ...

scope technologies/products: • Google Cloud Platform (GCP) and comparable cloud-based data engineering services • dbt • Python • SQL • ETL/ELT tooling and methodologies • Data modelling and data product development • AI-enabled data development • Testing and validation frameworks • Master Data Management (MDM), including commercial off-the-shelf and bespoke solutions … required: • Expert-level GCP or cloud-based data engineering capability • Advanced practical experience of dbt, Python data engineering and SQL • Strong data modelling and ETL/ELT design skills • Proven end-to-end data product build experience • Experience applying AI-enabled approaches to data development • Strong testing, data validation and ...

scope technologies/products: Google Cloud Platform (GCP) and comparable cloud-based data engineering services dbt Python SQL ETL/ELT tooling and methodologies Data modelling and data product development AI-enabled data development Testing and validation frameworks Master Data Management (MDM), including commercial off-the-shelf and bespoke solutions … required: Expert-level GCP or cloud-based data engineering capability Advanced practical experience of dbt, Python data engineering and SQL Strong data modelling and ETL/ELT design skills Proven end-to-end data product build experience Experience applying AI-enabled approaches to data development Strong testing, data validation and ...