1 to 25 of 116 Permanent ETL Jobs in Newport

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 ❯

Databricks, SQL Database, Data Factory, and T-SQL. In-depth understanding of London Market insurance data and Actuarial/Finance business processes. Experience with ETL processes, data modelling, and dimensional modelling techniques. Proficient with Azure DevOps, CI/CD, GIT, and deployment strategies. Proven track record in delivering cloud-based 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 ❯

reporting. Strong programming skills in Python, with experience in data processing libraries like Pandas and NumPy. Experience with data pipeline development, data warehousing, and ETL processes. Strong analytical and problem-solving skills, with attention to detail and ability to work in a fast-paced environment. Excellent communication and collaboration skills. More ❯

reporting. Strong programming skills in Python, with experience in data processing libraries like Pandas and NumPy. Experience with data pipeline development, data warehousing, and ETL processes. Strong analytical and problem-solving skills, with attention to detail and ability to work in a fast-paced environment. Excellent communication and collaboration skills. More ❯

core GCP data services such as BigQuery, Composer, Dataform, Dataproc, and Pub/Sub. Strong programming skills in PySpark, Python, and SQL. Proficiency in ETL processes, data mining, and data storage principles. Experience with BI and data visualisation tools, such as Looker or Power BI. Excellent communication skills, with the More ❯

Fabric , and/or Azure Synapse Analytics Hands-on experience with Python and working with APIs and SFTP data connectors Knowledge of data modelling , ETL pipelines , and data governance principles Demonstrable experience in stakeholder engagement , especially with senior leaders and cross-functional teams Ability to work independently and manage multiple More ❯

in the business Programming experience in Python Experience writing, troubleshooting, and debugging advanced SQL queries Outstanding analytical and problem-solving skills Experience working with ETL/ELT, and reporting and analytics tools Skills and experience we’d love you to have... But if not? We’ll help you get there More ❯

SQL & Cosmos DB Azure Purview (for Data Governance) Azure Blob Storage & Data Lake Azure Event Hubs & Streaming Analytics Hands-on experience with data integration, ETL/ELT pipelines, and batch/real-time processing. Strong knowledge of data security, governance frameworks, and NHS interoperability standards (FHIR, HL7). Familiarity with 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 ❯

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 ❯

Proficiency in Azure cloud services such as Azure Data Lake, Azure Synapse Analytics, Azure SQL Database, and Azure Key Vault. Hands-on experience with ETL/ELT processes, data transformation, and data integration patterns. Programming and Scripting : Proficiency in SQL, Python, or other scripting languages for data manipulation and automation. More ❯

Proficiency in Azure cloud services such as Azure Data Lake, Azure Synapse Analytics, Azure SQL Database, and Azure Key Vault. Hands-on experience with ETL/ELT processes, data transformation, and data integration patterns. Programming and Scripting : Proficiency in SQL, Python, or other scripting languages for data manipulation and automation. More ❯

configuration. Proficiency in Azure services such as Azure Data Lake, Azure Synapse Analytics, Azure SQL Database, and Azure Key Vault. Hands-on experience with ETL/ELT processes, data transformation, and data integration patterns. Programming and Scripting: Proficiency in SQL, Python, or other scripting languages for data manipulation and automation. More ❯

configuration. Proficiency in Azure services such as Azure Data Lake, Azure Synapse Analytics, Azure SQL Database, and Azure Key Vault. Hands-on experience with ETL/ELT processes, data transformation, and data integration patterns. Programming and Scripting: Proficiency in SQL, Python, or other scripting languages for data manipulation and automation. More ❯

e.g., version control for data/models, CI/CD for machine learning, containerization (Docker, Kubernetes), and pipeline orchestration. Understanding of data engineering principles (ETL/ELT processes, data warehousing) to oversee data pipeline development. Leadership and Team Management: Excellent leadership skills with a track record of leading cross-functional More ❯

Data Mesh methodologies) - Lead data modeling efforts to develop dimensional models (facts, dimensions) supporting analytics and reporting - Build, optimise, and maintain robust and automated ETL/ELT pipelines to ingest, transform, and expose data from multiple sources - Implement integrations between on-premises and cloud services to enable seamless data flows More ❯

SSRS) Design and implement complex SQL queries, stored procedures, and performance tuning Contribute to data warehouse architecture and dimensional modeling Work within OLAP and ETL frameworks to support scalable BI solutions Collaborate with cross-functional teams to translate business needs into technical solutions Required Skills & Experience: Proven experience in a More ❯

SSRS) Design and implement complex SQL queries, stored procedures, and performance tuning Contribute to data warehouse architecture and dimensional modeling Work within OLAP and ETL frameworks to support scalable BI solutions Collaborate with cross-functional teams to translate business needs into technical solutions Required Skills & Experience: Proven experience in a More ❯

decisions. Its a hands-on role with plenty of variety and collaboration across teams. What Youll Be Doing: Building scalable data pipelines with modern ETL tools Managing cloud-based data storage (data lakes, warehouses, etc.) Ensuring data quality and security Working with analysts, engineers, and data scientists Troubleshooting and improving More ❯

ingesting, transforming, and loading data from various sources (e.g., APIs, databases, files) into the Azure Databricks platform. o Implement data extraction, transformation, and loading (ETL) processes. o Ensure data pipelines are efficient, reliable, and scalable. Data Transformation & Processing: o Implement data transformations using Spark (PySpark or Scala) and other relevant More ❯

dashboards Maintaining and leveraging CI/CD deployment pipelines to promote application code into higher tier environments ✅ Must have requirements: Experience developing ELT/ETL ingestion pipelines Python SQL Azure cloud 👍 Bonus points for experience with: DBT CI/CD - e.g. Azure DevOps IaC - e.g. Terraform or Pulumi Data warehousing More ❯

reporting development (advanced/expert levels only). Key Tools & Technologies Visualization Tools: Tibco Spotfire, Tableau, Power BI, or QlikView Data Management & Querying: SQL, ETL pipelines, Data Warehousing (e.g., ODW) Scripting/Programming: Iron Python, R, R Shiny, SAS Collaboration & Platforms: SharePoint, clinical trial data platforms Qualifications Entry Level: Bachelor More ❯

be a SPOC for all technical discussions across industry groups. Excellent design experience, with entrepreneurship skills to own and lead solutions for clients Excellent ETL skills, Data Modeling Skills Excellent communication skills Ability to define the monitoring, alerting, deployment strategies for various services. Experience providing solution for resiliency, fail over More ❯