1 to 25 of 66 Remote ETL Jobs in the South East

initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience More ❯

sources to tell the story in simple terms, identifying patterns/trends to unlock opportunities to deliver cost opportunities and maximise the sustainability impact. Experience with SQL queries and ETL (such as Informatica or Matillion). Experience with BI skills for the analysis and development of interactive dashboards and reports Excellent verbal and written communication skills and high attention to More ❯

vibrant organisation. What You'll Do: Coding DAX Measures and Dimensional Models Developing & delivering visually compelling Power BI Dashboards & Reports to specification Developing and maintaining SSRS reports Developing & maintaining ETL pipeline solutions in Azure Data Factory and SSIS, utilising Azure Data Lake & Dev Ops Providing second & third line support for Data Team and own allocated support tickets Monitoring the Data More ❯

pipelines and turning complex datasets into actionable insights for the business. In this role, you will: Develop and maintain a cloud-based data warehouse (BigQuery, GCP) Create and optimise ETL processes (SSIS, Talend, Airflow) Collaborate with BI teams to deliver key performance metrics Ensure data quality, security, and cost-efficient storage What you'll bring: Strong SQL and data modelling More ❯

data challenges and contribute to the company's data-driven strategy. Key Responsibilities Design and implement efficient, scalable data pipelines using Python and SQL Server Develop, test, and deploy ETL workflows and data processing solutions using Docker containers on Azure Collaborate with data stakeholders to resolve data-related challenges Optimise existing pipelines and databases for performance and reliability Troubleshoot and More ❯

communicating analysis findings Familiarity with core analytics and BI techniques in a high-volume, high-dimensional environment Desirable Skills Experience with data modelling methodologies (3NF, Data Vault) Understanding of ETL processes and data warehousing principles Power BI knowledge Awareness of data governance and data management best practices If the above sounds of interest do please apply with your latest CV More ❯

and ensure technical delivery aligns with business needs Translate business requirements into logical and physical data models that support scalable, high-performance analytics and reporting solutions Build and automate ETL/ELT pipelines using tools such as Azure Data Factory, as well as scripting with Python and PowerShell Use Power BI to create dashboards and data visualisations, focusing on usability More ❯

Relevant Microsoft certifications in MVC and/or ASP.NET MVC framework. Experience working in agile delivery environments, particularly at scale. Knowledge of SSRS, FetchXML, SSIS, or other reporting and ETL tools. Experience with Razor Pages (Portals) and customer-facing apps. Familiarity with data compliance standards (e.g., GDPR) and security models within MVC. Soft Skills & Traits A confident problem-solver with More ❯

Relevant Microsoft certifications in MVC and/or ASP.NET MVC framework. Experience working in agile delivery environments, particularly at scale. Knowledge of SSRS, FetchXML, SSIS, or other reporting and ETL tools. Experience with Razor Pages (Portals) and customer-facing apps. Familiarity with data compliance standards (e.g., GDPR) and security models within MVC. Soft Skills & Traits A confident problem-solver with More ❯

Deploy and govern modern data stack technologies (e.g., Snowflake, Airflow, DBT, Fivetran, Airbyte, Tableau, Sisense, AWS, GitHub, Terraform, Docker) at enterprise scale for data engineering workloads. Develop deployable, reusable ETL/ELT solutions using Python, advanced SQL, and Jinja for data pipelines and stored procedures. Demonstrate applied understanding of SDLC best practices and contribute to the maturity of SDLC, DataOps More ❯

Skills & Experience: Proven experience as a Lead Data Solution Architect in consulting environments Expertise in cloud platforms (AWS, Azure, GCP, Snowflake) Strong knowledge of big data technologies (Spark, Hadoop), ETL/ELT, and data modelling Familiarity with Python, R, Java, SQL, NoSQL, and data visualisation tools Understanding of machine learning and AI integration in data architecture Experience with agile methodologies 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 ❯

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 ❯

a Data Architect , ideally in a law firm or professional services Deep knowledge of Azure-native data services , including: Azure Synapse Analytics Azure Data Lake Gen2 Azure Data Factory (ETL/ELT) Azure Databricks Azure Purview (data governance) Microsoft Fabric Hands-on expertise in data modelling (conceptual, logical, and physical) Experience with MDM platforms (e.g., Profisee, Semarchy, CluedIn, Reltio) Strong More ❯

Profile Data Engineer - Surrey - Hybrid A successful Data Engineer should have: Experience with Azure Data Factory, Azure Synapse, Azure SQL, or Azure Data Lake. Hands-on knowledge of the ETL process and working with large datasets. Understanding of dimensional modelling and data warehousing principles. Familiarity with CI/CD pipelines or monitoring tools for data processes. Solid skills in SQL More ❯

in cloud platforms (AWS, Azure, GCP, Snowflake). Technical Skills Proficiency in big data tools (Apache Spark, Hadoop). Programming knowledge (Python, R, Java) is a plus. Understanding of ETL/ELT, SQL, NoSQL, and data visualisation tools. Awareness of ML/AI integration into data architectures. Governance & Lifecycle Strong grasp of data architecture lifecycle and modern design principles. Knowledge More ❯

detailed management reports. Strong analytical background, including Excel, MS Access, SQL, Power BI, ArcGIS Online, and FME. Knowledge and capability in a wide variety of additional analytical tools and ETL (e.g. Python, SQL, Databricks, Microsoft Flow, Azure Data Factory). Degree in Environmental Science, Data Management, Hydrology, or a related field. Experience with remote sensing technologies and water quality monitoring More ❯

within Power BI Support the integration and management of Microsoft Fabric as part of the evolving data architecture Participate in the full project lifecycle from design to deployment Optimise ETL/ELT processes and propose enhancements to existing systems Implement and maintain API integrations Collaborate with users, analysts, and developers to drive data performance improvements Document data models, pipelines, and … similar technical role Hands-on experience with key Microsoft Azure services: Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Azure SQL Database Solid understanding of data modeling, ETL/ELT, and warehousing concepts Proficiency in SQL and one or more programming languages (e.g., Python, Scala) Exposure to Microsoft Fabric, or a strong willingness to learn Experience using version More ❯

understanding of query optimisation and performance tuning. Strong understanding of data warehousing concepts and dimensional data modelling. Experience integrating OBIEE with Oracle and non-Oracle data sources. Familiarity with ETL processes and tools (e.g., ODI, Informatica) is a plus. Experience with Oracle BI Publisher is a bonus. Excellent analytical, problem-solving, and communication skills. Company Market leading financial services organisation 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 ❯

engineers Define and deliver the data engineering roadmap aligned with business goals Own the architecture, reliability, and scalability of the data platform end-to-end Drive best practices in ETL/ELT pipelines, data modelling, and real-time processing Partner with stakeholders to ensure data solutions are fit for purpose and future-proof Introduce and champion modern engineering practices (testing More ❯

role ideally supported by a relevant STEM degree Data Analysis skills including good SQL knowledge Experience with related/complementary software such as Power BI and Python Understanding of ETL process and data warehousing concepts Be confident to handle and model large amounts of data, create solutions and solve problems to answer key business questions. Ability to elicit requirements from More ❯

Knowledge of data platforms, processing, and data structures Experience with machine learning libraries and tools Familiarity with data query languages like SQL and HiveQL Experience with data integration and ETL processes Excellent problem-solving and analytical skills Degree in Data Science or a related field Behaviours: Self-motivated and enthusiastic Determined and passionate about data and technology Decisive, with the More ❯

Data Engineer (SC cleared) Start: ASAP Duration: 12 months Location: Mostly Remote - must have access to London or Bristol Pay: negotiable, INSIDE IR35 Responsibilities: - Design, implement robust ETL/ELT data pipelines using Apache Airflow - Build ingestion processes from internal systems and APIs, using Kafka, Spark, AWS - Develop and maintain data lakes and warehouses (AWS S3, Redshift) - Ensuring governance using More ❯

with a focus on databases and data systems. Expert knowledge of relational database design, normalisation, and data modelling. Proficiency in SQL, database optimisation, and data mapping. Strong understanding of ETL processes, data warehousing concepts (Snowflake advantageous), and API integrations. Experience with both custom-built systems and commercial platforms. Awareness of cloud-based architecture, ideally Azure. Proven ability to communicate complex More ❯