26 to 50 of 95 ETL Jobs in Newport

s event-driven architecture and implementing observability best practices to ensure reliability and traceability. What You'll Do Design and build scalable data pipelines (ETL/ELT) for ingestion, transformation, and loading from a wide variety of structured and unstructured sources Develop solutions for real-time and event-driven data More ❯

We integrate data from Dynamics 365 (CE & F&O) and other sources, building efficient data structures to support analytical insights. By developing and optimizing ETL/ELT pipelines, we ensure data accuracy, consistency, and performance across the warehouse. Leveraging Azure Data Services such as Synapse, Data Factory, and SQL Server … design, build, and maintain an internal data warehouse using the Kimball methodology. The ideal candidate will have expertise in creating fact and dimension tables, ETL processes, and ensuring data integrity. Experience with Dynamics 365 CE & F&O is highly desirable. KEY DUTIES AND RESPONSIBILITIES Design and implement a Kimball-style … data warehouse architecture, including fact and dimension tables. Develop and optimize ETL/ELT pipelines to integrate data from Dynamics 365 (CE & F&O) and other sources. Collaborate with business stakeholders to define key business metrics and reporting needs. Ensure data quality, consistency, and performance across the warehouse. Work with 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. Solid experience with data processing frameworks (Databricks/Azure SQL). Proficiency in SQL, Python, or other programming languages. Strong understanding of ETL processes, data modelling, and optimisation techniques. A collaborative mindset and the ability to work with cross-functional teams in a fast-paced environment. More ❯

business/data analyst role, ideally in a consultancy or commercial setting. - Strong analytical, problem-solving, and communication skills. - Experience with operational data processes, ETL, data warehouse migration, schema mapping, and MI/BI reporting. - Proficient in tools such as JIRA, Confluence, Asana, Miro, and Excel. - Familiarity with Agile (SCRUM More ❯

OAC). Should be aware about process of creating Semantic data model in FDI. Proven experience in data modeling, data extraction, transformation, and loading (ETL) using Oracle Cloud tools Hands-on experience in creating dashboards, KPIs, custom reports, and visual analytics for Finance, Supply Chain, and HCM modules Strong understanding More ❯

technical teams and summarise complex analyses in business terms Ability to work with shifting deadlines in a fast-paced environment Desirable Qualifications Authoritative in ETL optimisation, designing, coding, and tuning big data processes using Spark Knowledge of big data architecture concepts like Lambda or Kappa Experience with streaming workflows to More ❯

data concepts to cross-functional teams Bonus points for experience with: DevOps tools like Docker, Kubernetes, CI/CD Big data tools (Spark, Hadoop), ETL workflows, or high-throughput data streams Genomic data formats and tools Cold and hot storage management, ZFS/RAID systems, or tape storage AI/ More ❯

Years **Role Overview:** We are seeking a Senior Data Architect/Data Engineer to design and implement scalable data solutions, including real-time and ETL/ELT data pipelines. Responsibilities include optimizing our data warehouse, creating Power BI reports, and developing AI-driven solutions using OpenAI APIs. **Key Responsibilities:** - Design … with business goals. - Ensure data quality, consistency, and compliance. **Required Qualifications:** - 7-8 years in Data Engineering, Data Architecture, or related roles. - Experience with ETL/ELT pipelines and complex data ecosystems. - Proficiency in Python and strong SQL skills. - Familiarity with Azure services (Data Factory, Logic Apps, etc.). - Expertise 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 ❯

of opportunities for ownership and innovation. Key Responsibilities Design and deploy cloud-based data platforms using Snowflake, DBT, and related tools Develop performant, scalable ETL/ELT pipelines across varied data sources Build and maintain dimensional models using Kimball, Data Vault, or Data Mesh methodologies Collaborate with cross-functional teams More ❯

Solid understanding of investment data flows and financial instruments across asset classes. Hands-on proficiency with tools and languages such as SQL, Python, and ETL/data integration platforms. Strong communication, presentation, and stakeholder engagement capabilities. Advanced skills in MS Office Suite and the creation of professional deliverables. More ❯

layers (Bronze, Silver, Gold) using ADF, Python, and PySpark. Must have hands on experience to PySpark, Python,AWS,data modelling Must have experience in ETL processes Must have hands on experience in Databricks development Good to have experience in developing and maintaining data integrity and accuracy, data governance, and data 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 ❯

architecture for the org, as well as overseeing the creation of a new Data Warehouse. Key skills and experience required: Extensive Azure data architecture ETL and ELT pipeline development Databricks, Data Lake and other Azure focussed services Leading data teams Data modelling Excellent stakeholder management and engagement Analytics and reporting 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 ❯

models enabling real-time insights for senior leadership. Build and maintain commercial dashboards using Power BI for executive-level consumption. Maintain SQL databases and ETL processes to ensure the integrity of all datasets You will work with large volumes of finance data to surface trends, risks, and opportunities. Facilitation and More ❯

Proficient in PySpark and AWS - At least 8 years of hands-on experience in data engineering projects - Strong experience in designing, implementing, and debugging ETL pipelines - Expertise in Python, PySpark, and SQL is essential - In-depth knowledge of Spark and Airflow - Experience in designing data pipelines using cloud-native services 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 ❯

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 ❯

T-SQL Python, Apache Airflow Elastic/OpenSearch (interchangeable) Experience Required: Proven ability to design, build and maintain data pipelines Experience in system integration , ETL , and managing structured/unstructured data Background in working within secure, enterprise-scale environments Strong understanding of data quality, validation, and transformation within operational settings 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 ⭐Non-contractual discretionary bonus 🏥Private healthcare 🌴25 days holiday + bank holiday 🪙Life assurance cover 📈Other well-being incentives More ❯

FIN MT, XML ISO20022 (pain, pacs, camt), and BACS Standard 18 Desirable Skills and Experience Working knowledge of SQL, XML, XSD, MQ, API, Postman, ETL Experience with OPF systems Knowledge of financial products such as Loans, Money Market, Trade Finance, Derivatives, and FX Familiarity with Agile/Scrum methodologies Experience 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 ❯