1 to 25 of 30 ETL Jobs in Guernsey

services. Knowledge of using PySpark in notebooks for data analysis and manipulation. Strong proficiency with SQL and data modelling. Experience with modern ELT/ETL tools within the Microsoft ecosystem. Solid understanding of data lake and lakehouse architectures. Hands-on experience with Power BI for data integration and visualisation. Familiarity More ❯

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 ❯

IF YOU ARE Experienced with Python/PySpark Proficient working with Databricks Lakehouse architecture and principles Having 2+ years of designing data models, building ETL pipelines, and wrangling data to solve business problems Experienced with Azure cloud technologies Modern Data Estate such as Azure Data Factory, Azure DevOps, Azure Synapse More ❯

collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others. IF YOU ARE A technology professional focused on Data Warehouses, ETL, and BI solutions development Experienced in eliciting business requirements to address the customer’s data visualization needs Ready to dive into a customer's subject More ❯

to offices and client sites Employment: Permanent, Full-time What You'll Actually Be Doing: Designing, developing, and deploying robust Azure data solutions including ETL pipelines, data warehouses, and real-time analytics. No fluff, just solid engineering. Turning complex client requirements into clear, scalable Azure solutions alongside experienced Architects and More ❯

practices, and best practices for data modeling, warehousing, and interoperability. Lead the evaluation and implementation of data tools, platforms, and technologies (e.g., cloud services, ETL tools, data lakes). Ensure data security, compliance, and privacy policies are embedded in all architecture designs. Provide technical guidance and mentorship to data engineers More ❯

meet current best practices and internal standards. Work closely with project managers and technical leads to integrate new enterprise data sources into ongoing projects. ETL Development Develop robust, automated ETL (Extract, Transform, Load) pipelines using industry-standard tools and frameworks, prioritizing scalability, reliability, and fault tolerance. Essential Skills & Experience Strong … ESRI, 3GIS, Bentley, Hexagon, Crescent Link, CadTel, etc.). Experience with business requirement analysis and the development of reporting and analytics structures. Familiarity with ETL solutions, including experience with SAFE FME, is highly desirable. Strong knowledge of data privacy regulations and practices. Exposure to analytics and reporting tools is considered More ❯

in: Azure Data & AI services (e.g., Azure Machine Learning, Azure OpenAI, Cognitive Services, Synapse) Programming with Python for data and AI workloads Data pipelines, ETL/ELT processes, and analytics foundations App development techniques to integrate AI capabilities Working in secure, enterprise-ready cloud environments Consulting fundamentals and effective customer More ❯

shape something from the ground up — this is for you. What you’ll do: Design and build a cloud-native data warehouse Develop scalable ETL/ELT pipelines and dimensional models (Kimball, Data Vault, etc.) Integrate multiple data sources (cloud & on-prem) Ensure high data quality, performance and reliability Collaborate More ❯

data sets, produce dashboards and drive actionable insights. SQL Development: Write and optimise complex Microsoft SQL Server queries for data extraction, transformation and loading (ETL). Data Governance: Implement master data management and governance policies to maintain data quality, compliance and lineage. Stakeholder Management: Communicate effectively with project managers and 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

working heavily with PHP and Laravel Exposure to working in data environments/on data-centric projects Experience with My SQL Development Understanding of ETL best practices Important Notice Both Leo Technology and the companies we partner with are incredibly passionate about building environments where people from all backgrounds and 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 ❯

insights generation. Strong debugging and optimization skills for handling large-scale data processing in cloud-based environments. Preferred Qualifications: Knowledge of data aggregation pipelines, ETL processes, and data handling at scale. Familiarity with additional AWS services (e.g., S3, Lambda) for data storage and event-driven architectures. Experience with machine learning 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 ❯

seeking a highly skilled and motivated Data Engineer to join a dynamic team. The ideal candidate will have a strong background in SQL, Python, ETL processes, and data integration, ideally in Databricks. You will play a crucial role in continuing an exciting project designing, developing, and maintaining data infrastructure to … ensure the seamless inflow, data sanitation/consolidation and automated report production for clients. Key Responsibilities: Design and Development: Design, develop, and maintain scalable ETL pipelines to process and integrate data from various sources. Implement data validation routines to ensure data quality and integrity. Develop and optimize SQL queries for … related field. Proven experience as a Data Engineer or in a similar role. Strong proficiency in SQL or Python or ideally both. Experience with ETL processes and tools. Knowledge of data validation routines and data integration techniques. Familiarity with relational database design and management. Experience with API development and testing More ❯

and influence outcomes Home-based flexibility with a focus on work-life balance Key Responsibilities Design and deliver robust Azure data solutions across strategy, ETL, analytics, and AI Lead client workshops and translate business needs into technical design Build scalable, secure, high-performance data platforms using the latest Azure services … in the Azure ecosystem Deep expertise across the Azure Data Platform (Fabric, Synapse, Databricks, Data Lake, Data Factory, Purview, etc.) Strong data pipeline and ETL skills, including data modelling and transformation Experience implementing Medallion Architecture (Bronze, Silver, Gold layers) in lakehouse or Databricks environments Familiarity with DevOps, CI/CD More ❯

to drive innovation, inform decision-making, and create value for customers. With our commitment to excellence, we continuously push the boundaries of data integration, ETL process and issue resolution. Idox fosters a culture that celebrates curiosity, collaboration, and continuous learning, empowering our team to explore new ideas and solve complex … from back-office software solutions commonly used in Local Government regulatory services, ensuring completeness and accuracy. Lead and execute upon a portfolio of complex ETL project deliveries (transformations and merges) using a combination of internal and industry-standard ETL tools and scripting languages. Contribute to the ongoing development and evolution … of innovative and efficient processes that improve delivery quality, scalability and consistency across our data consulting services. Develop and maintain documentation for ETL processes, including data mappings, transformations, technical specifications, and workflows for reference and compliance. Stay informed of industry trends, best practices and advancements in ETL and data management. More ❯

Job Title: Data Engineer with Expertise in Azure Data Factory, API Integration and Azure SQL Responsibilities - Design and implement ETL/ELT pipelines in Azure Data Factory to ingest and transform data. - Integrate with external APIs to extract and process data. - Optimise and manage Azure SQL databases for performance and More ❯