1 to 25 of 62 Remote ETL Jobs in the South East

DevOps, and GitHub. Data Modelling Apply hands-on expertise in enterprise data modelling using tools such as ERwin, ER/Studio, or PowerDesigner to ensure performance, scalability, and maintainability. ETL/ELT Frameworks Design robust data pipelines using tools like Cloud Composer, Dataflow, Dataproc, Informatica, or IBM DataStage, supporting both batch and streaming ingestion. Data Governance & Quality Implement governance frameworks More ❯

mentorship and guidance from experienced professionals in the field. Project Support: Contribute to ongoing data and analytics projects, providing support in areas such as data extraction, transformation, and loading (ETL). Assist in the development and implementation of data-driven solutions to address business challenges. Present findings and recommendations to stakeholders in a clear and concise manner. Qualifications: Recently completed More ❯

focus on Snowflake and Power BI. Strong expertise in data modelling, query optimisation, and Power BI development (DAX, dashboards). Hands-on with dbt, SQL, Python, and ELT/ETL pipeline development. Experience with Azure Data Factory (ADF), and migrating legacy data platforms to cloud solutions. Financial services exposure, ideally with market or credit risk analytics. Ability to produce technical More ❯

scientists, analysts, and software engineers to ensure the company's data strategy underpins their innovative financial products. Key Responsibilities: Lead the design, development, and optimisation of data pipelines and ETL processes. Architect scalable data solutions to support analytics, machine learning, and real-time financial applications. Drive best practices for data engineering, ensuring high levels of data quality, governance, and security. More ❯

decisions and shape the company's long-term data strategy. What you'll be doing: Designing, developing, and owning scalable data pipelines and APIs . Building infrastructure for optimal ETL/ELT processes across diverse data sources. Working with Azure, dbt, SQL, and Python to deliver cloud-first solutions. Taking ownership of data quality and identifying opportunities for continuous improvement. More ❯

and presentation skills. Preferred Skills Knowledge of FP&A, supply chain, workforce, or sales planning processes. Experience with data visualization tools (Power BI, Tableau, or similar). Familiarity with ETL tools, APIs, or middleware for system integrations. Anaplan Solution Architect certification (a plus for senior roles). More ❯

ASAP. Key Requirements: Proven expertise in Data Architecture working on large, complex Data Programmes Strong Data Modelling experience (especially Conceptual Data Models) Demonstrable background in Data Engineering Design processes (ETL, ELT), with good knowledge of Data Vault, Inmon and Kimball Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI) Proven More ❯

Key Requirements: Proven expertise in Data Solution Architecture working on large, complex Data Programmes Strong Data Modelling experience (especially Conceptual Data Models) Demonstrable background in Data Engineering Design processes (ETL, ELT), with good knowledge of Data Vault, Inmon and Kimball Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI) Proven More ❯

Microsoft Azure Data Services (Fabric desirable). Knowledge of Data Lake, Power BI, SQL. Business Entity Mastering, Data Taxonomy and Data Dictionary. Knowledge of CI/CD Familiarity with ETL processes and best practices. Key Competencies Motivated to learn and grow in a dynamic environment. Strong organisational and technical skills with excellent attention to detail. Resilient, solution-focused, and able More ❯

Good SQL skills, you know your way around a database. Some exposure to a cloud-based data warehouse such as Snowflake, Redshift, Big Query or similar. Some knowledge of ETL/ELT and data automation. A desire to work with complex Salesforce detail and master that data. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills More ❯

and maintenance of our data infrastructure, driving our large-scale programmes in the USA. Your primary responsibilities will include : Design & Development: Create, develop, and maintain scalable data pipelines and ETL processes across various systems. Data Integration: Build and manage seamless data integrations from diverse sources, including POS systems, e-commerce platforms, RFID sensors, IoT devices, and CRM systems. Data optimisation More ❯

management, incentive compensation, deal desk, lead management, and contact centre operations . Use SQL and Python (Pandas, PySpark) to analyse data, automate workflows, and generate insights. Design and manage ETL/ELT processes, data models, and reporting automation . Leverage Databricks, Snowflake, and GCP to enable scalable reporting and analytics. Partner with leadership to identify opportunities for new tools, automation More ❯

innovation. What you'll be doing: Designing and building scalable data pipelines to support analytics, reporting, and machine learning. Leading the implementation of Azure data solutions and ensuring robust ETL/ELT processes. Defining architecture strategies that allow for scalable, flexible development. Embedding best practices in DevOps, CI/CD, and engineering standards . Mentoring and growing a high-performing More ❯

Requirements Proficiency in Python, with a focus on clean, maintainable code (bonus for experience with type hints, linters, and testing frameworks like pytest) Solid understanding of data engineering fundamentals: ETL/ELT, schema evolution, batch processing Experience or strong interest in Apache Spark for distributed data processing Familiarity with AWS data tools (e.g., S3, Glue, Lambda, EMR) Strong communication skills More ❯

a team what to do, run some whiteboard design sessions (realising you've used a permanent marker, you quickly leave the room) Qualifications Data Warehousing, Data Modelling, Database Design, ETL AWS Redshift, AWS Glue, S3, SQL Server, Power BI Cloud/DevOps AWS, Docker, Terraform Bitbucket, Bamboo, CI/CD deploy pipeline Agile, pair programming, code reviews Additional Information Were More ❯

Systems, or a related field, or equivalent. Proven experience in data warehousing, business intelligence, or a related field, or equivalent. Strong understanding of data lake architectures, data modelling, and ETL processes. Expertise in SQL and data visualization tools (e.g., Power BI). Excellent communication, interpersonal, and presentation skills. Connect to your business - Enabling Functions Collaboration is central to everything we More ❯

using Azure Data Factory (ADF), ensuring efficient and reliable data movement and transformation. • Data Modelling using Kimball, 3NF or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data processing tasks. • Collaborate with cross-functional teams More ❯

and replacing the legacy solution for allocation factor calculation with an innovative, graph database-driven solution. Duties: Lead the design of data architectures and the development and optimisation of ETL/ELT pipelines to enable seamless integration of data from multiple sources, including raw datasets and outputs from GraphDB (NEO4J), hosted on Google Cloud Platform (GCP). Create and document More ❯

Deliver custom insights and analytics to support marketing and sales objectives. Build and maintain Tableau dashboards and reports to track KPIs, campaign performance and user engagement. Develop and maintain ETL pipelines using SQL and Python. Translate business needs into analytical requirements, communicating findings with clarity and impact. Conduct data analysis and A/B testing to measure the effectiveness of More ❯

the principal owners of their MS Azure data strategy and architecture, you would be responsible for: The build of cloud-based data platforms incorporating the full Azure data stack ETL Pipelines Data Modelling (Logical, Physical, Conceptual) Data Mapping The skills we are looking for include: Azure Data Factory, Azure Databricks, Blobs, Azure SQL, Synapse, etc. Python development for data engineering More ❯

architects, developers, and stakeholders Facilitate workshops and support data governance initiatives Contribute to enterprise data strategy decisions Requirements: Strong SQL, relational database design, and data modelling skills Experience with ETL, data warehousing, and platforms like SQL Server, Oracle, Snowflake Familiarity with ServiceNow and cloud architecture Deep understanding of enterprise systems and data flows Experience with API integrations and system interfaces More ❯

Ensure security and compliance with DV-level clearance standards Skills & Experience: Current DV clearance (essential) Proven experience working with Palantir Foundry in complex environments Strong skills in data engineering, ETL processes, and data modelling Proficiency in relevant programming/scripting languages (e.g. Python, SQL) Experience working with large-scale datasets in secure environments Strong problem-solving skills and stakeholder engagement More ❯

architects, developers, and stakeholders Facilitate workshops and support data governance initiatives Contribute to enterprise data strategy decisions Requirements: Strong SQL, relational database design, and data modelling skills Experience with ETL, data warehousing, and platforms like SQL Server, Oracle, Snowflake Familiarity with ServiceNow and cloud architecture Deep understanding of enterprise systems and data flows Experience with API integrations and system interfaces More ❯

have strong SQL skills (e.g. PostgreSQL, MySQL) You have strong AWS knowledge, ideally including S3 and Lambda You have a good understanding of data modelling and batch/streaming ETL/ELT patterns You're collaborative and pragmatic with great communication skills What's in it for you: As a Senior Data Engineer you will receive a competitive package: Salary More ❯

in event-driven and eventual consistency systems using Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside work as how you feel More ❯