1 to 25 of 575 Remote/Hybrid ETL Jobs

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 ...

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 ...

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 ...

and collaborate with technical and non-technical stakeholders. Hands‐on expertise with SQL Server, SSIS, and relational databases, including writing complex queries and building ETL processes. Practical experience in network engineering, including network monitoring, troubleshooting, and ensuring secure data transmission. Proficiency with reporting and visualization tools (e.g., Power BI, Tableau ...

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 ...

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 ...

include large scale data migrations to cloud, new project delivery, service enhancement and support. Relevant experience may include: • Strong SQL and data modelling experience. • ETL/ELT design and delivery. • Data pipeline design, build, monitoring and operations. • Batch and real-time data integration patterns. • AWS cloud data platforms. • Data lake ...

delivered include large scale data migrations to cloud, new project delivery, service enhancement and support.Relevant experience may include:• Strong SQL and data modelling experience.• ETL/ELT design and delivery.• Data pipeline design, build, monitoring and operations.• Batch and real-time data integration patterns.• AWS cloud data platforms.• Data lake ...

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 ...

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 ...

reliable data flow, optimizing data systems, and enabling analytics and business intelligence across the organization. Key Responsibilities Design, develop, and maintain scalable data pipelines (ETL/ELT processes) Build and optimize data architectures, including data warehouses and data lakes Develop and maintain robust data models to support analytics and reporting ...

transition from legacy platforms where applicable Data Engineering & Integration Providing technical leadership across data engineering practices, including: Batch and streaming data pipelines ELT/ETL frameworks CI/CD for data platforms Architecting robust integrations from internal and third-party systems Defining data quality, validation, and monitoring standards Governance, Security ...

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 ...

data manipulation and scripting.Data Engineering: Proficiency in data manipulation and analysis using SQL and big data technologies (e.g., Spark, Hadoop). Experience with ETL/ELT, data warehousing, and automated workflows for moving and processing data.Data Governance: Strong understanding and practical experience with data governance principles, policies, security, and privacy ...

commercially aware data professional who can work independently, manage competing priorities and translate business requirements into practical data solutions. Key requirements: Strong experience of ETL and ELT processes Proficiency in SQL, including DDL and DML within a data warehouse environment Experience of data modelling, ideally including dimensional or Kimball modelling ...

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 ...

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 ...

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 ...

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 ...