14 of 14 ETL Jobs in Guernsey

timely, professional, and high-quality project outputs. Leverage expertise in SAS technologies, solutions, and methodologies. Develop and implement data management systems to optimize data quality, focusing on best-practice ETL processes. Acquire data from primary and secondary sources and maintain databases/data systems. Utilize and communicate best-practice methodologies internally and externally. Create technical documentation, including requirements, design, administration More ❯

with Microsoft Fabric, Power BI, and cloud-native platforms. In-depth knowledge of AI/ML technologies and their application in cloud environments (Azure would be ideal) Proficiency in ETL/ELT processes, data integration, and engineering tools. Hands-on experience with Python, Airflow, Snowflake, Databricks, and Spark The values and ethos of our business Innovation with real purpose and More ❯

and a deep understanding of operational data needs - especially around workforce planning and customer service analytics. Key Responsibilities: Build and maintain scalable data pipelines and datasets using ELT/ETL best practices Deliver high-quality insights through reporting and analytics Partner with stakeholders to define and implement BI solutions Ensure data quality, system reliability, and performance Support production environments and More ❯

. Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data engineering , schema design, ETL, and optimisation. Proficiency with cloud (AWS preferred) and containerised deployments (Docker, ECS). Knowledge of secure coding practices and managing sensitive data. Excellent communication, problem-solving, and leadership skills. Nice More ❯

experience with modern data engineering tools, cloud platforms, and big data ecosystems while working in a fast-growing HR-tech environment. Key Responsibilities Assist in designing, developing, and maintaining ETL pipelines for structured and unstructured data. Work with databases (SQL/NoSQL) to ensure data accuracy, integrity, and accessibility. Support integration of APIs and third-party data sources into the … or related fields . Strong understanding of databases, SQL, and data modeling concepts . Familiarity with Python/Java/Scala for data processing. Basic knowledge of data warehousing, ETL concepts, and data pipelines . Understanding of cloud platforms (AWS/GCP/Azure) and their data services. Critical thinking, attention to detail, and a proactive learning mindset. Nice to … hackathons, Kaggle competitions, or open-source data projects . What Youll Get Real-time exposure to data engineering operations within a tech-driven product environment. Hands-on training in ETL, big data, and cloud-based data pipelines . 1:1 mentorship from experienced data professionals & access to exclusive learning resources. Internship Certificate & Letter of Recommendation upon successful completion. Opportunity for More ❯

Cognos Analytics (v11 or v12). Proven experience in Framework Manager, Report Studio, Query Studio, and Transformer. Strong SQL proficiency (Oracle or SQL Server). Understanding of data warehousing, ETL processes, and relational modelling. Demonstrated experience in report optimisation and performance tuning. Experience delivering secure reporting solutions within government or regulated sectors. Strong communication skills with the ability to liaise More ❯

evaluation metrics. Solid experience with SQL and NoSQL databases (Postgres, DynamoDB). Familiarity with AI/ML models and APIs (LLMs, embeddings, vector search). Expertise in data engineering (ETL, schema design, performance tuning). Proficiency in AWS and containerized deployments (Docker, ECS). Strong grasp of secure coding practices and data handling. Excellent communication, problem-solving, and leadership skills. More ❯

in reporting, MI, or BI development roles. Strong SQL expertise (MySQL preferred; Redshift a bonus). Background in Financial Services. Proven experience creating dashboards and BI reports. Understanding of ETL processes and data integration from multiple sources. Confident communicator and collaborator within Agile environments. Experience with JIRA and Confluence. Whats in It for You: A collaborative team culture that values More ❯

healthcare outcomes. In this role, youll be part of a team that ensures our data infrastructure is robust, efficient, and continuously evolving. Key responsibilities include: Designing, developing, and maintaining ETL processes Writing and optimising complex queries for data extraction and transformation Supporting BAU data operations and ensuring consistent data delivery Creating and managing reports Developing analytical models) Managing and troubleshooting More ❯

AWS - Data source exploration, data warehousing expansion, horizontal datasets for downstream consumption - Work with customers to build Dashboards with the right KPIs, Metrics for decision making - Data Quality checks, ETL/ELT processes, automation Technical Requirements: - Strong proficiency in SQL and Python programming - Extensive experience with data modeling and data warehouse concepts - Advanced knowledge of AWS data services, including: S3 … Redshift, AWS Glue, AWS Lambda - Experience with Infrastructure as Code using AWS CDK - Proficiency in ETL/ELT processes and best practices - Experience with data visualization tools (Quicksight) Required Skills: - Strong analytical and problem-solving abilities - Excellent understanding of dimensional modeling and star schema design (Facts, dimensions, scd type 2) - Experience with agile development methodologies - Strong communication skills and ability More ❯

life sciences industry. Previous experience leading or contributing to a Veeva Vault migration (Quality, Regulatory, Clinical, or Commercial). Hands-on knowledge of Veeva Vault Loader, APIs, or other ETL tools (e.g. Boomi, Informatica, Talend). Strong understanding of GxP, 21 CFR Part 11, Annex 11, and cloud system validation. Excellent stakeholder and vendor management skills. Confident working with complex More ❯

dotnet and React. Leveraging the capabilities of LLMs in your daily work and in features we build Collaborate with data engineers to build, optimize, and maintain data pipelines and ETL processes. Participate in cloud infrastructure design and deployment, ensuring best practices in cloud environments. Develop and integrate CI/CD workflows to enhance development processes and ensure system reliability. Contribute … have most of these, wed love to hear from you! Technical skills Python (Competent) React frontend development (Intermediate/Competent) Dotnet (Beginner) Cloud technologies (Beginner/Intermediate), ideally Azure ETL pipelines and data tools such as PySpark, Databricks CI/CD tools (Beginner/Intermediate), e.g., Azure DevOps Cross-functional skills Problem-solving mindset with strong analytical abilities Collaborative team More ❯

forward thinking team that values innovation, quality, and continuous improvement. In this role, you will be responsible for: Designing and delivering data solutions using Microsoft technologies Building and maintaining ETL pipelines across complex data environments Collaborating with Architects, Engineers, and cross-functional teams to develop solutions that meet business needs Participating in Agile ceremonies and contributing to code reviews Creating … To be successful in this role, you will have: Experience working on the Microsoft Platform e.g. SQL Server, SSIS, SSRS Strong data warehousing and data modelling experience Experience creating ETL pipelines (primarily using SSIS) Experience working in regulated environments Power BI experience for reporting would be beneficial Some of the package details include: Salary of up to 60,000 Fully More ❯

of the business within their Data Intelligence team and is pivotal in building and maintaining a centralised analytical data store. You will design and optimise internal database structures, develop ETL processes, and integrate data from multiple internal and external sources. Working closely with analysts, you will ensure data quality, performance, and accessibility, enabling the business to leverage analytics effectively. This … systems, contributing directly to the companys mission to build intelligent financial infrastructure. What you will bring: Proven experience managing MySQL databases within analytical or production environments Strong data modelling, ETL, and performance optimisation expertise Experience integrating diverse data sources and supporting analytics or BI teams Familiarity with Power BI or similar tools A collaborative, communicative, and proactive mindset Whats on More ❯