1 to 25 of 96 Permanent ETL Jobs in the South East

Provide technical support and training to end-users on business intelligence tools. Identify opportunities to improve data processes and implement solutions. Integrate various data sources to provide comprehensive insights. ETL Process - Knowledge of extract, Transform, Load (ETL) techniques for cleaning and consolidating data from different sources using SQL and other tools Maintain documentation for all analytics tools and processes. Profile …/Developer - SAP CO-PA/FI & Power BI should have: Expert user of Power BI. SQL, DAX and Databases - Ability to query databases and structure financial data efficiently ETL Process - Knowledge of extract, Transform, Load (ETL) techniques for cleaning and consolidating data from different sources. Strong analytical and problem-solving skills. Experience in the industrial/manufacturing industry is More ❯

Provide technical support and training to end-users on business intelligence tools. Identify opportunities to improve data processes and implement solutions. Integrate various data sources to provide comprehensive insights. ETL Process - Knowledge of extract, Transform, Load (ETL) techniques for cleaning and consolidating data from different sources using SQL and other tools Maintain documentation for all analytics tools and processes. Profile …/Developer - SAP CO-PA/FI & Power BI should have: Expert user of Power BI. SQL, DAX and Databases - Ability to query databases and structure financial data efficiently ETL Process - Knowledge of extract, Transform, Load (ETL) techniques for cleaning and consolidating data from different sources. Strong analytical and problem-solving skills. Experience in the industrial/manufacturing industry is More ❯

Provide technical support and training to end-users on business intelligence tools. Identify opportunities to improve data processes and implement solutions. Integrate various data sources to provide comprehensive insights. ETL Process - Knowledge of extract, Transform, Load (ETL) techniques for cleaning and consolidating data from different sources using SQL and other tools Maintain documentation for all analytics tools and processes. Profile … PA/FI & Power BI should have: Proficiency in SAP CO-PA, FI, and Power BI. SQL, DAX and Databases - Ability to query databases and structure financial data efficiently ETL Process - Knowledge of extract, Transform, Load (ETL) techniques for cleaning and consolidating data from different sources. Strong analytical and problem-solving skills. Experience in the industrial/manufacturing industry is More ❯

Provide technical support and training to end-users on business intelligence tools. Identify opportunities to improve data processes and implement solutions. Integrate various data sources to provide comprehensive insights. ETL Process - Knowledge of extract, Transform, Load (ETL) techniques for cleaning and consolidating data from different sources using SQL and other tools Maintain documentation for all analytics tools and processes. Profile …/FI & Power BI should have: Proficiency in SAP SAC, CO-PA, FI, and Power BI. SQL, DAX and Databases - Ability to query databases and structure financial data efficiently ETL Process - Knowledge of extract, Transform, Load (ETL) techniques for cleaning and consolidating data from different sources. Strong analytical and problem-solving skills. Experience in the industrial/manufacturing industry is More ❯

Provide technical support and training to end-users on business intelligence tools. Identify opportunities to improve data processes and implement solutions. Integrate various data sources to provide comprehensive insights. ETL Process - Knowledge of extract, Transform, Load (ETL) techniques for cleaning and consolidating data from different sources using SQL and other tools Maintain documentation for all analytics tools and processes. Profile …/FI & Power BI should have: Proficiency in SAP SAC, CO-PA, FI, and Power BI. SQL, DAX and Databases - Ability to query databases and structure financial data efficiently ETL Process - Knowledge of extract, Transform, Load (ETL) techniques for cleaning and consolidating data from different sources. Strong analytical and problem-solving skills. Experience in the industrial/manufacturing industry is More ❯

to define requirements and deliver solutions Requirements: Hands-on experience with Azure Data Factory, Databricks, SQL, Data Lake, Power BI Strong skills in T-SQL and DAX Experience in ETL development, data modelling, and data governance Familiarity with CI/CD pipelines and Azure DevOps Excellent communication and problem-solving skills More ❯

from the warehouse. Maintaining and improving the existing Python-based dynamic pricing model and web scraping tools. What we're looking for: Experience across a modern data stack for ETL/ELT processes and data warehousing. Strong SQL and Python skills, with an understanding of Kimball-style data modelling . Experience with DBT, Dagster, or Airflow for transformation and orchestration. More ❯

making. In this role, you will be responsible for: Building and managing data pipelines using Azure Data Factory and related services. Building and maintaining data lakes, data warehouses, and ETL/ELT processes. Designing scalable data solutions and models for reporting in Power BI. Supporting data migration from legacy systems into the new platform. Ensuring data models are optimised for More ❯

models in Snowflake to support analytics and reporting needs. Architecture Implementation: Apply defined data architecture standards to ingestion, transformation, storage, and optimisation processes. Pipeline Development: Develop robust ELT/ETL workflows using dbt and orchestration tools, ensuring reliability and maintainability. Performance & Cost Optimisation: Configure Snowflake warehouses and implement query optimisation techniques for efficiency. Data Quality & Governance: Apply data quality checks More ❯

this is your chance to make an impact. What You'll Work With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards ETL & Data Modelling: T-SQL, metadata-driven pipelines DevOps: CI/CD Bonus: Python What you'll do Design and implement scalable Azure-based data solutions Build and optimize data pipelines More ❯

making. In this role, you will be responsible for: Building and managing data pipelines using Azure Data Factory and related services. Building and maintaining data lakes, data warehouses, and ETL/ELT processes. Designing scalable data solutions and models for reporting in Power BI. Supporting data migration from legacy systems into the new platform. Ensuring data models are optimised for More ❯

into Features, Epics, and Stories and setting engineering standards. Collaborate with the Data Architect to design and implement data architecture and build plans. Build and maintain scalable data pipelines, ETL/ELT processes, and large-scale data workflows. Optimise data systems for performance, reliability, and scalability. Implement data quality processes and maintain data models, schemas, and documentation. Operate CI/ More ❯

into Features, Epics, and Stories and setting engineering standards. Collaborate with the Data Architect to design and implement data architecture and build plans. Build and maintain scalable data pipelines, ETL/ELT processes, and large-scale data workflows. Optimise data systems for performance, reliability, and scalability. Implement data quality processes and maintain data models, schemas, and documentation. Operate CI/ More ❯

external MSPs and vendors to ensure best-practice delivery Technology & Experience Essential: Strong hands-on experience with the Azure data platform Proven experience delivering API and enterprise system integrations ETL/ELT pipelines, data modelling, and data warehousing Understanding of how data feeds into Power BI and analytics platforms Desirable: GCP exposure (to support migration) iPaaS platforms such as Boomi More ❯

model drifts, data-quality alerts, scheduled r-training pipelines. Data Management and Preprocessing: Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality. Software Development: Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. Work More ❯

experience with Snowflake. 2+ years production experience with dbt (mandatory). Advanced SQL and strong Python programming skills. Experience with Git, CI/CD, and DevOps practices. Familiarity with ETL/ELT tools and cloud platforms (AWS, Azure). Knowledge of Snowflake features such as Snowpipe, streams, tasks, and query optimisation. Preferred Qualifications Snowflake certifications (SnowPro Core or Advanced). More ❯

innovative solutions and maintaining a strong reputation for excellence in analytics and data-driven decision-making. Description Senior Data Engineer Develop and maintain robust and scalable data pipelines and ETL processes. Optimise data workflows and ensure efficient data storage solutions. Collaborate with analytics and engineering teams to meet business objectives. Ensure data integrity and implement best practices for data governance. More ❯

data modellers, and reporting teams to ensure the curated data supports deeper insights into corporate performance Optimise data pipelines for scalability, reliability, and maintainability using best practices (e.g., modular ETL design, version control, CI/CD) Strong understanding of Microsoft Fabric architecture and components Expertise in Microsoft Fabric Data Engineering Fabric Dataflows/Azure Data Factory Experience with Azure Synapse More ❯

Extensive experience in designing cloud data platforms using Azure, AWS, or exceptional on-premise design expertise. At least 5 years in data engineering or business intelligence roles. Proficiency in ETL and data pipeline design, with a technology-agnostic approach. A solid understanding of data warehouse and data lake principles. Expert SQL skills and demonstrable data modelling capabilities. About the Company More ❯

this role, you will be 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 designing tailored solutions to meet More ❯

the forefront of the data engineering field. You'll Work With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards and analytics ETL & Data Modelling: T-SQL, metadata-driven pipelines Design and implement scalable Azure-based data solutions Build and optimise data pipelines for integration and transformation Develop Power BI dashboards for global More ❯

can be at the forefront of your field. What You'll Work With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards ETL & Data Modelling: T-SQL, metadata-driven pipelines What you'll do Design and implement scalable Azure-based data solutions Build and optimise data pipelines for integration and transformation Develop Power More ❯

an initial 7-month contract with an immediate start and strong potential for extension on a greenfield project. Key Responsibilities Design, build, and optimise data pipelines using ELT/ETL best practices. Migrate and transform data into a Databricks Lakehouse architecture. Ensure data quality, reliability, and scalability for analytics and reporting. Collaborate with stakeholders to deliver robust solutions aligned with More ❯

your chance to work on exciting projects, design robust data architectures, and help organisations unlock the full potential of their data. Key Responsibilities: Build and optimise data pipelines and ETL workflows using Microsoft Fabric and Azure Synapse or Databricks. Implement scalable solutions for data ingestion, storage, and transformation. Develop clean, reusable Python code for data engineering tasks. Research and integrate More ❯

your chance to work on exciting projects, design robust data architectures, and help organisations unlock the full potential of their data. Key Responsibilities: Build and optimise data pipelines and ETL workflows using Microsoft Fabric and Azure Synapse or Databricks. Implement scalable solutions for data ingestion, storage, and transformation. Develop clean, reusable Python code for data engineering tasks. Research and integrate More ❯