26 to 50 of 70 ETL Jobs in Preston

Knowledge (Snowflake, PostgreSQL, MSSQL, etc.). Scripting languages (Python, PowerShell). Data quality and resolving related processes Cloud Data Warehousing solutions and ELT/ETL solutions (e.g., Snowflake, DBT). Experience in working within an Agile environment. Experience with Automation, including Unit and Integration Testing. Knowledge of Cloud Concepts. For More ❯

and dynamic team. Responsibilities: Collaborate with various squads within the data team on project-based work. Develop and optimize data models, warehouse solutions, and ETL processes. Work with Scala, Spark, and Java to handle large-scale data processing. Contribute to manual Databricks-like data processing solutions. Requirements: Minimum of More ❯

Exposure to multi-platform integration (MS tools preferred). On premise SQL environments, legacy SSIS, SSRS and other SQL-related technologies employed in complex ETL or ELT patterns Synapse Link for Dataverse Dataverse, Data Flows, Cloud Flows, DAX and Power Platform implementations Synchronisation methods for Synapse and Fabric from D365 More ❯

business teams in leveraging data effectively. Skills & Experience Proven track record in Power BI development. Strong technical knowledge of: SQL , M Query , and DAX ETL frameworks and database management systems R scripting (a bonus) Understanding of data integration and reporting in a professional services or operational environment. Experience with or More ❯

business intelligence and analytics solutions Expertise in Power BI, including report customization and advanced visualizations. Proficiency in Microsoft Fabric Strong understanding of data modeling, ETL processes Benefits: 💰Salary: Available upon request 📍Location: Bristol (Once a week onsite) 🏥Private healthcare 🌴28 days holiday + bank holiday 🪙Company pension scheme 📈Autonomous position More ❯

experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more More ❯

pipelines, ensuring data quality, and supporting a reliable, cloud-native data platform. What You’ll Do: Design, build, and maintain scalable data pipelines and ETL/ELT workflows Work with Snowflake , SQL , and Python to transform and manage large datasets Leverage AWS services (e.g., S3, Lambda, Glue) to build modern More ❯

create frameworks to enable them ensure data drives value across the business. THE ROLE: A Data Engineer will need to: Building & maintaining ELT/ETL pipelines Work closely with stakeholders across the business Own data engineering roadmap Manage data warehouse (gathering requirements and building solutions) ensure alignment with data management More ❯

and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF etc.) Able to work with databases like SQL Server, NoSQL, etc Experience with ETL process, data pipelines, Devops This role is hybrid, with requirement to be in one of their UK offices in either Scotland or England on occasion More ❯

delivery approach within a DevOps environment Extensive experience in creating technical specifications and code for data migration Proven expertise in extracting, transforming, and loading (ETL) financial data during migration from on-premise systems to the cloud Demonstrated ability to track, report, and improve data migration quality metrics It would be More ❯

an agile framework preferable, including defining functional and non-functional requirements and sprint tasks. Understanding of data engineering, some experience with building production-grade ETL pipelines, as well as backend web development, backend-for-frontend, GraphQL, and FastAPI. Strong communication skills, able to communicate with both technical and commercial people. More ❯

Key aspects of the role include: Data Pipeline Development: Architect, develop, and optimise data extraction, transformation, and loading (ETL) processes for high-volume healthcare data. Integration of NHS Systems Data: Work directly with NHS data sources and ensure seamless integration of systems like UDAL, NCDR, SUS+, HES, and ODS into … and ODS—and to address the unique challenges these datasets present. Data Engineering Proficiency: Advanced proficiency in building and maintaining robust data pipelines using ETL tools and frameworks. Familiarity with data warehousing concepts and experience in developing scalable, high-performance data architectures. Technical Expertise: Strong command of SQL and scripting More ❯

reporting team. This role is ideal for someone with strong technical expertise in SQL, Python, BigQuery, and Excel, and a passion for building robust ETL pipelines and integrating data from diverse sources. You will play a key role in transforming … raw data into curated datasets that power dashboards, reports, and strategic decision-making. Key Responsibilities: Design, develop, and maintain ETL pipelines to ingest, transform, and load data from various sources into centralized data platforms. Build and optimize data models and data marts in BigQuery to support analytics and reporting needs. … experience with Google BigQuery or similar cloud data warehouses. Advanced skills in Microsoft Excel, including pivot tables, formulas, and data visualization. Solid understanding of ETL concepts, data integration, and data warehousing best practices. Familiarity with version control systems (e.g., Git) and workflow orchestration tools (e.g., Airflow, dbt) is a plus. More ❯

that meet business goals. Architecture & Engineering Excellence: Design and implement scalable, cost-effective data architectures across AWS, Azure, and GCP; build and maintain robust ETL/ELT pipelines and implement CDC and delta load frameworks to enhance data integration and performance. Platform Modernization & SAP Expertise: Lead complex migrations from legacy 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 ❯

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 ❯

in the Greater Manchester office What they’re looking for: Strong experience with Qlik Sense , QlikView , and SQL Proven expertise in developing and maintaining ETL processes A proactive, analytical mindset with a focus on data accuracy and usability Strong understanding of data architecture , governance , and security best practices Excellent communication 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 ❯

of software design principles and coding standards Preferred Skills and Capabilities · Experience with vector databases and embedding models · Knowledge of data pipeline tools and ETL processes · Familiarity with React or other frontend technologies for better cross-team collaboration · Experience implementing LLM integration frameworks · Background in pharmaceutical or healthcare domain · Experience More ❯

Client Leadership: Guide project teams, facilitate communication, and identify opportunities to expand client engagements. What You Bring Proven experience managing complex system migrations (data, ETL, live systems). Deep expertise in Dynamics 365 Solutions (Project Operations & Finance) and Azure integration services . Exceptional consulting skills and confidence communicating with C 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 ❯

a global small/medium Asset Management firm. Your new role Working as a Data Engineer in three key areas, firstly the support of ETL monitoring and maintaining the ETL process, where you will manage, support and develop ETL pipelines to ingest data into their data lake/data warehouse … analysis and resolve data issues, providing ad-hoc reporting. Finally, development and testing to automate key business activities. Modernising the data management, reporting and ETL processes. You will transition manual activities to robust automated processes. What you'll need to succeed Great experience working in Financial Services and in Asset … Logic App/Azure Functions to support/development. Expertise with Power BI and DAX (for business intelligence reporting). Strong experience working on ETL processes. Great programming ability to develop stored procedures & for data analytics with Python/R. You have the ability to extend and debug using C# More ❯

related to migration. You’ll also support planning and implementation—making sure no data is lost or overlooked during the transition. Designing and implementing ETL pipelines as part of a large-scale ERP migration. Building a federated, enterprise-wide data model—ensuring accessibility, consistency, and usability. Supporting seamless data migration … Promoting best practices in data compliance, governance, and security. WHAT DO YOU NEED TO BE SUCCESFUL? Proven experience in data engineering, data modelling, and ETL development. Strong hands-on skills with SQL, Python, and Microsoft tools (Azure, Power BI, Power Apps). Previous experience working on similar migration and integration More ❯

. Mobile Testing Focus on mobile app quality across Android/iOS devices. Manual and automation testing using Appium , XCUITest , TestFairy . Data/ETL Testing Ensures accurate data flow, transformation, and validation in data pipelines. Works with SQL, Informatica , Talend , SSIS , Snowflake . AI/ML Model Testing Test More ❯