1 to 25 of 57 ETL Jobs in the East of England

improve their financial wellbeing. Key Responsibilities: Data Pipelines and ETL Processes • ETL Implementation: Implement ETL processes within MaPS architectural patterns to extract, transform, and load data from various source systems into our reporting solutions.• Pipeline Development: Develop and configure meta-data driven data pipelines using data orchestration tools such ...

responsible for: Building and managing data pipelines using Azure Synapse, Data Factory, Databricks, or Microsoft Fabric Designing and maintaining data lakes, data warehouses, and ETL/ELT processes Developing scalable data models for reporting in Power BI Work closely with stakeholders to understand the needs of their individual business and ...

performance tuning and model management. Proven ability to manage and optimize very large datasets in Power BI and Azure. Solid understanding of SQL, ETL processes, and data warehousing. Familiarity with Azure Synapse, Data Lake, and Analysis Services (AAS/SSAS). Strong performance tuning: aggregations, incremental refresh, Hybrid tables, Direct ...

performance tuning and model management. Proven ability to manage and optimize very large datasets in Power BI and Azure. Solid understanding of SQL, ETL processes, and data warehousing. Familiarity with Azure Synapse, Data Lake, and Analysis Services (AAS/SSAS). Strong performance tuning: aggregations, incremental refresh, Hybrid tables, Direct ...

changing dimension techniques. Proficiency in building production‐ready Power BI models and dashboards, with a solid grasp of Import vs DirectQuery approaches. Knowledge of ETL orchestration patterns, CI/CD pipelines (DevOps/Git), and development best practice. Strong problem‐solving ability, documentation skills, and clear stakeholder communication. Nice ...

changing dimension techniques. Proficiency in building production‐ready Power BI models and dashboards, with a solid grasp of Import vs DirectQuery approaches. Knowledge of ETL orchestration patterns, CI/CD pipelines (DevOps/Git), and development best practice. Strong problem‐solving ability, documentation skills, and clear stakeholder communication. Nice ...

changing dimension techniques. Proficiency in building production‐ready Power BI models and dashboards, with a solid grasp of Import vs DirectQuery approaches. Knowledge of ETL orchestration patterns, CI/CD pipelines (DevOps/Git), and development best practice. Strong problem‐solving ability, documentation skills, and clear stakeholder communication. Nice ...

changing dimension techniques. Proficiency in building production‐ready Power BI models and dashboards, with a solid grasp of Import vs DirectQuery approaches. Knowledge of ETL orchestration patterns, CI/CD pipelines (DevOps/Git), and development best practice. Strong problem‐solving ability, documentation skills, and clear stakeholder communication. Nice ...

changing dimension techniques. Proficiency in building production‐ready Power BI models and dashboards, with a solid grasp of Import vs DirectQuery approaches. Knowledge of ETL orchestration patterns, CI/CD pipelines (DevOps/Git), and development best practice. Strong problem‐solving ability, documentation skills, and clear stakeholder communication. Nice ...

changing dimension techniques. Proficiency in building production‐ready Power BI models and dashboards, with a solid grasp of Import vs DirectQuery approaches. Knowledge of ETL orchestration patterns, CI/CD pipelines (DevOps/Git), and development best practice. Strong problem‐solving ability, documentation skills, and clear stakeholder communication. Nice ...

months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/Gold layers) • Integrate data from multiple sources ...

months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/Gold layers) • Integrate data from multiple sources ...

months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/Gold layers) • Integrate data from multiple sources ...

months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/Gold layers) • Integrate data from multiple sources ...

months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/Gold layers) • Integrate data from multiple sources ...

months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/Gold layers) • Integrate data from multiple sources ...

strong sense of ownership Motivation to learn quickly in a fast-paced startup environment Nice to Have Exposure to data engineering or analytics concepts (ETL, data modelling, analytics engineering) Familiarity with tools such as PySpark, Airflow, dbt, or Databricks Experience working with business systems (ERP, CRM, operational data) Interest ...

strong sense of ownership Motivation to learn quickly in a fast-paced startup environment Nice to Have Exposure to data engineering or analytics concepts (ETL, data modelling, analytics engineering) Familiarity with tools such as PySpark, Airflow, dbt, or Databricks Experience working with business systems (ERP, CRM, operational data) Interest ...

strong sense of ownership Motivation to learn quickly in a fast-paced startup environment Nice to Have Exposure to data engineering or analytics concepts (ETL, data modelling, analytics engineering) Familiarity with tools such as PySpark, Airflow, dbt, or Databricks Experience working with business systems (ERP, CRM, operational data) Interest ...

strong sense of ownership Motivation to learn quickly in a fast-paced startup environment Nice to Have Exposure to data engineering or analytics concepts (ETL, data modelling, analytics engineering) Familiarity with tools such as PySpark, Airflow, dbt, or Databricks Experience working with business systems (ERP, CRM, operational data) Interest ...

strong sense of ownership Motivation to learn quickly in a fast-paced startup environment Nice to Have Exposure to data engineering or analytics concepts (ETL, data modelling, analytics engineering) Familiarity with tools such as PySpark, Airflow, dbt, or Databricks Experience working with business systems (ERP, CRM, operational data) Interest ...

strong sense of ownership Motivation to learn quickly in a fast-paced startup environment Nice to Have Exposure to data engineering or analytics concepts (ETL, data modelling, analytics engineering) Familiarity with tools such as PySpark, Airflow, dbt, or Databricks Experience working with business systems (ERP, CRM, operational data) Interest ...

insight across a complex, multi-site business. Key responsibilities but not limited to as the Python Data Engineer: Build and maintain data pipelines and ETL processes Integrating legacy and modern systems Deliver data migrations, including mapping, transformation, and validation Ensure data quality, performance, and reliability Collaborate with technology and business ...

looking for from you: SQL technologies skills (e.g. MS SQL, Oracle...) noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition ...

Oracle Analytics Cloud (OAC dashboards, DV, RPD/semantic modelling). Experience with Autonomous Data Warehouse (ADW) and Oracle Fusion data structures. Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset. Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads. ...