1 to 25 of 608 Remote/Hybrid ETL Jobs in the UK

warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.* Design and build high-performance data pipelines: to extract, transform, and load data into Cloud Data Lake Storage and other Cloud services.* Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality … more of the following technologies**Azure Databricks*** Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.* Experience of Databricks ML and Azure ML to develop predictive models and drive business insights.* Proven ...

data architecture, reporting and governance foundations needed for longer‐term transformation. What You'll Be Doing as a Data Engineer: Design, build and improve ETL and ELT pipelines that support data ingestion, profiling, reconciliation, cleansing and reporting across enterprise source systems. Building data catalogues, data flows, interface views and trusted ...

concepts clearly, explaining solution choices, trade-offs, dependencies and recommendations to both technical and non-technical audiences. Design and implement robust data models and ETL/ELT patterns that support enterprise reporting, analytics, machine learning and AI use cases. Optimise data pipelines and workloads for performance, reliability, scalability and cost ...

technical concepts clearly, explaining solution choices, trade-offs, dependencies and recommendations to both technical and non-technical audiences.Design and implement robust data models and ETL/ELT patterns that support enterprise reporting, analytics, machine learning and AI use cases.Optimise data pipelines and workloads for performance, reliability, scalability and cost, identifying ...

semantic modelling using DAX and Power Query. Analysing data to identify trends, risks and recommendations. Data Engineering and Analytics Engineering Building data pipelines and ETL/ELT workflows. Working with at least one cloud data platform (e.g., Azure, Microsoft Fabric, Databricks, Snowflake). Designing data models for reporting, analytics ...

with others and using data to create positive outcomes, we'd love to hear from you. Day to Day Design, build and maintain reliable ETL/ELT data pipelines using AWS or Azure cloud-native services and established engineering patterns Develop and support data integration components and services, including Java ...

problems, collaborating with others and using data to create positive outcomes, we'd love to hear from you.Day to DayDesign, build and maintain reliable ETL/ELT data pipelines using AWS or Azure cloud-native services and established engineering patternsDevelop and support data integration components and services, including Java-based ...

pipelines and automated deployments Experience with Python for data engineering or analytics An understanding of data warehousing principles and methodologies is preferable Experience developing ETL/ELT processes Knowledge of Microsoft Fabric and modern data platform technologies is preferable Knowledge of Microsoft Purview and data governance frameworks Microsoft certifications including ...

successfully built, enhanced or operated cloud-based data platforms, ideally within Azure environments. Data Architecture Knowledge - You understand data modelling, ELT/ETL design, Delta Lake principles, data quality frameworks and modern engineering best practices. Cloud & DevOps Capability - You have experience with Azure services, automation, CI/CD pipelines and ...

patterns Data processing: Apache Spark, SQL and distributed processing technologies Data storage: Delta Lake, Apache Iceberg and open table formats Data pipelines: Enterprise‐scale ETL/ELT, batch and streaming patterns Transformation and quality: dbt, Great Expectations and equivalent tooling Orchestration: Apache Airflow and cloud‐native orchestration services Event streaming ...

with cloud data platforms such as Microsoft Azure, AWS, or Google Cloud.Proficiency in SQL, Python, Spark, and modern data processing frameworks.Experience building and managing ETL/ELT pipelines and streaming data solutions.Practical experience with DataOps, DevOps, CI/CD pipelines, and Infrastructure as Code.Expertise in data modelling, data warehousing, and ...

data platforms such as Microsoft Azure, AWS, or Google Cloud. Proficiency in SQL, Python, Spark, and modern data processing frameworks. Experience building and managing ETL/ELT pipelines and streaming data solutions. Practical experience with DataOps, DevOps, CI/CD pipelines, and Infrastructure as Code. Expertise in data modelling, data ...

and data engineering best practices. Expertise in data modelling techniques including dimensional modelling, Data Vault, and canonical data models. Strong understanding of data integration, ETL/ELT frameworks, API integration, and event-driven architectures. Experience implementing data governance, security, lineage, metadata management, and data quality frameworks. Familiarity with CI/ ...

Fluency in English, both written and verbal. Preferred Qualifications Experience with Power BI including data modelling, DAX, and dashboard development. Experience with data ingestion, ETL/ELT processes, and modern data architectures. Understanding of data governance, master data management, and data quality frameworks. Exposure to AI, machine learning, Generative ...

and major cloud providers (Azure, AWS, or GCP).Solid understanding of data governance, access control, and security practices in cloud environments.Experience with large-scale ETL/ELT design and migration programmes.Familiarity with how AI/ML and agentic systems are integrated with enterprise data platforms.Demonstrated experience with cloud cost management ...

development capability, including DAX, Power Query and semantic model design. Experience working with large, complex datasets. Understanding of data warehousing, dimensional modelling and ETL/ELT processes. Experience working within Agile delivery environments. Ability to communicate technical concepts clearly to non-technical audiences. Strong problem-solving and analytical skills. Experience ...

analytics, data apps, AI and data science initiatives. The ideal candidate will have a deep understanding of data warehousing best practices, data modeling techniques, ETL/ELT processes, and cloud-based data platforms. The Data Architect will be a key partner in driving data-driven decisions and future-proofing Jazwares ...

datameshand domain-oriented patterns Data processing:Apache Spark,SQLand distributed processing technologies Data storage:Delta Lake, ApacheIcebergand open table formats Data pipelines:Enterprise-scale ETL/ELT,batchand streaming patterns Transformation and quality:dbt, Great Expectations and equivalent tooling Orchestration:Apache Airflow and cloud-native orchestration services Event streaming:Kafka ...

Azure SQL Managed Instance (MI) - including configuration, connectivity, authentication, security and troubleshooting integration with cloud-based systemsPerformance tuning, query optimization, and indexing strategies.Experience with ETL processes and data integration.Knowledge of data governance, data quality, and information security principles.Familiarity with source control and software development lifecycle practices.Strong experience delivering business applications ...

Managed Instance (MI) - including configuration, connectivity, authentication, security and troubleshooting integration with cloud-based systems Performance tuning, query optimization, and indexing strategies. Experience with ETL processes and data integration. Knowledge of data governance, data quality, and information security principles. Familiarity with source control and software development lifecycle practices. Strong experience ...

platform reliability and supportability. Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development ...

stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also ...

data requirements across complex environments. Gather, profile, and analyse large-scale structured datasets to ensure data accuracy, quality, and completeness. Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement ...

data requirements across complex environments. Gather, profile, and analyse large-scale structured datasets to ensure data accuracy, quality, and completeness. Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement ...

data requirements across complex environments. Gather, profile, and analyse large-scale structured datasets to ensure data accuracy, quality, and completeness. Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement ...