18 of 18 Remote ETL Jobs in Preston

and deliver sustainable solutions. Monitor and troubleshoot data pipeline issues to maintain data integrity and accuracy. Assist in the development, maintenance, and optimization of ETL (Extract, Transform, Load) processes for efficiency and reliability. Project & Improvement: Assist in gathering, documenting, and managing data engineering requirements and workflows. Contribute to the development … reviews of designs, prototypes, and other work products to ensure requirements are met. Skills & Experience: Essential: Basic understanding of data engineering concepts, such as ETL processes, data pipelines, and data quality management. Hands-on experience with SQL (e.g., writing queries, basic database management). Familiarity with data tools and platforms More ❯

On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and More ❯

Design: Architect and implement robust designs, ensuring optimal performance, scalability, and security Translate high-level solution designs into detailed technical specifications, including data models, ETL processes, and database schemas Establish and enforce data modelling best practices, promoting data integrity and consistency across all platforms ETL Development & Optimization: Develop and optimize … complex ETL pipelines for diverse data sources (on-premise and cloud-based), utilizing best practices for data extraction, transformation, and loading Implement data quality checks and validation processes within ETL pipelines, ensuring data accuracy and reliability Optimize ETL performance for speed and efficiency, addressing bottlenecks and improving data processing times … information to non-technical stakeholders, and ensuring alignment with business objectives The Person Essential: Minimum 5+ years of experience in designing and implementing data ETL processes and design Expert-level proficiency in T-SQL, SSIS, and the Microsoft data stack (SQL Server, Azure SQL Database) Proven proficiency in Azure Data More ❯

Spoke architecture patterns. Experience and detailed understanding of AWS and/or Azure data provision through a loosely coupled cloud stack including Data Integration (ETL/ELT) eg Spark and/or Informatica, Data Quality, Data Catalogue, data storage to provide multi-cloud analytical and insight data for our critical More ❯

would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they would be offering More ❯

major teams in sports such as American football, soccer, NBA, Formula 1, and Olympic events. Key Responsibilities: Design and build large-scale data warehouses, ETL pipelines, and reporting platforms that are robust and efficient. (Looking at going down Snowflake or BigQuery) Utilize your expertise in backend languages; the tech stack More ❯

with precision. Role Highlights The Backend Python Engineer will... – Develop robust Python APIs and microservices powering user-facing and internal tools – Engineer high-volume ETL pipelines for transforming vast, complex data sets – Integrate 3rd-party APIs to enrich and automate key workflows – Collaborate across functions, including DevOps and ML, to More ❯

to security policies. • Develop and enforce GCP security hardening measures (network segmentation, access controls, encryption, GDPR/ISO 27001 compliance). • Design and implement ETL pipelines for marketing data into BigQuery for Looker. • Optimise BigQuery data models and schemas for Looker exploration and reporting. • Implement robust monitoring, logging, and alerting More ❯

security across all processes. Collaborate with stakeholders to understand data requirements and deliver efficient solutions. Monitor and troubleshoot performance issues in data pipelines and ETL processes. Contribute to the continuous improvement of data engineering best practices. Essential Skills & Experience Strong experience with SQL for data extraction, transformation, and querying. Hands … on experience with Microsoft Azure, including Azure Data Factory, Synapse Analytics & Azure Data Lake Solid understanding of data warehousing concepts and ETL/ELT pipelines. Ability to work independently in a remote-first environment. Desirable Skills Experience with Python for scripting and data manipulation. Familiarity with Azure Databricks. Background in More ❯

the continued scaling and optimisation of these. Their ideal candidate would have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Consulting/Client Facing Experience In return they would be offering Free Certification Scheme (AWS More ❯

driven culture. Essential Skills Proven leadership of data teams within fast-growth, early-stage environments Advanced expertise in BI, SQL, and data warehousing/ETL processes Strong commercial acumen – able to translate business needs into analytical frameworks Skilled in experimentation design, A/B testing, and statistical methodologies Experienced in More ❯

data infrastructure. 🔧 Key Responsibilities: Collaborate with pricing actuaries and analysts to gather technical and business requirements. Architect a scalable, secure data platform and design ETL pipelines. Integrate internal and third-party data sources using tools like SQL Server , Databricks , Azure , and APIs . Lead third-party engineering teams to deliver … recommend architectural improvements. ✅ You’ll Need: Proven experience as a Data Engineer (ideally in the insurance or financial sector). Expertise in SQL Server , ETL frameworks , and data pipeline development . Solid knowledge of Python , Azure , AWS , and tools like Databricks , Glue , S3 , etc. Ability to identify and resolve performance More ❯

interactive dashboards in Tableau Performance Monitoring & Reporting: Create detailed reports on portfolio performance, profitability, risk, and compliance metrics, and deliver them to relevant stakeholders. ETL & Data Pipelines: Work with Data Engineers to develop and optimise data pipelines for extracting, transforming, and loading (ETL) large datasets from various sources into relevant More ❯

contracts across internal and external APIs are robust, secure, and scalable. System Integration & Platform Ownership Oversee integration between business systems using APIs, middleware, and ETL pipelines, including Salesforce, Power Platform (PowerApps, PowerAutomate, LogicApps), SharePoint, and custom web applications. Lead optimization and governance around API design (RESTful services, rate limiting, versioning … Backend : PHP (Symfony, Smarty), C# (.NET Core), Azure Functions (Node.js/PowerShell), PowerShell Database : MSSQL, PostgreSQL (including JSON), MySQL/MariaDB Integration : REST APIs, ETL, Azure Data Factory DevOps/Infra : CI/CD pipelines (e.g., GitHub Actions, Azure DevOps), containerization, Azure PaaS Security : Secure development lifecycle, OWASP, authentication/ More ❯

will be responsible for some of the following areas • Design and develop scalable data pipelines to support analytics and operational reporting. • Build and maintain ETL/ELT processes to ingest, transform, and store data from various sources. • Collaborate with clients including both technical and non-technical stakeholders to understand data … knowledge sharing and onboarding. To be successful in the role you will have • Solid experience designing and delivering data solutions focused on Databricks • Strong ETL experience with tools such as ADF or SSIS • Experience working with Azure technologies – Synapse, Fabric, Data Lake • Knowledge of data architecture principles and data modelling More ❯

Data Engineer (Azure, SQL, ETL, Databricks, Data Factory) South Manchester – Remote (On-site just once a month MAX) Up to £60,000 + Bonus + Benefits Are you a skilled Data Engineer ready to shape the future of data in a rapidly scaling tech business? This is a great opportunity … from the ground up. What You’ll Be Doing: Designing, building, and optimising scalable data pipelines, data warehouse structures, and integration processes. Implementing robust ETL solutions to consolidate data from multiple sources into the central data warehouse. Working with a fully cloud-based Azure ecosystem (including Azure Data Factory and More ❯

Oracle Fusion Data Intelligence| Oracle Analytics Cloud | Oracle Technical Consultant | OAC | FDI | ETL | PL/SQL | £75,000 plus benefits and bonus | Fully Remote I am currently working with a exceptional digital consultancy with 20000+ employees, currently they have a small team in the UK as one of their most … and reports, particularly if that experience relates to Finance, Supply Chain or HCM industries Comfortable with both SQL & PL/SQL Good experience around ETL process, data integration and object storage a bonus If you think you could be a good fit please don't hesitate to apply for a More ❯

team to ensure your solutions are observable, reliable and performant. Work with our software implementation consultants (SICs) to define and verify specification documents for ETL process. Work with customer IT to test customer data source endpoints to ensure they meet specification. Work with our Engineering teams to ensure end-to … be comfortable building transparent, easy-to-support pipelines. Experience building and maintaining data integrations with a variety of external systems. Good understanding of the ETL process. Comfortable being in a client-facing role. Excellent communication skills: you can clearly explain technical matters to any audience. Confident working with complex referential More ❯