10 of 10 ETL Jobs in Reading

term sustainability. 5+ years of experience in data engineering (or 3+ years with strong Foundry depth). Key Responsibilities Implement batch, incremental, and streaming ETL/ELT workflows with reusable, production-ready components. Build and maintain high-quality, version-controlled data products aligned to business use cases. Work with federated ...

Teradata to Databricks and the ongoing evolution of our Data & Analytics capabilities. What you'll do Data Engineering Delivery: Design, build andoptimisescalable data pipelines, ETL/ELT workflows and data transformation solutions using Databricks,PySpark, SQL anddbtCloud, delivering trusted, high‐quality data products that support reporting, analytics, AI and data ...

following (the candidate is not expected to be knowledgeable in every area): Python (Pandas, NumPy), SQL & data modeling, Data wrangling and ETL, Data visualization (Power BI/Tableau), Machine Learning fundamental, API integration, Generative AI & prompt engineering, AI application development, Workflow automation, Web application development (Streamlit/React/Flask ...

KPIs. Write complex SQL queries for data extraction, transformation, validation and analysis. Create scalable data models and support the development of efficient reporting and ETL processes. Ensure the quality, reliability, consistency and governance of data used for analysis. Work with cross-functional stakeholders to translate analytical requirements into structured and … querying, transformation and validation. Strong Power BI skills, with experience developing dashboards, visualisations and KPI reporting solutions. Understanding of data warehouse concepts, data modelling, ETL pipelines and data quality principles. Knowledge of statistical analysis languages such as Python or R. Ability to communicate complex insights clearly to technical and ...

make a genuine impact in a collaborative environment, this could be the role for you. What Youll Be Doing Designing, building, and maintaining ETL pipelines using Azure Data Factory, SSIS, and SQL Server Developing and optimising stored procedures and queries for data transformation and integration Building and maintaining data warehouse … stored procedures, optimisation) Hands‐on expertise with Azure Data Factory (ADF) and SSIS Solid understanding of data warehousing and dimensional modelling Proven experience building ETL/data integration solutions Exposure to Power BI , Python , and PowerShell is highly desirable Excellent problem‐solving skills with a proactive, can‐do attitude Strong ...

/M365 (Configuration and Administration) Experience in SharePoint support - an added advantage Advanced SQL skills such as performance analysis, etc. Experience of Extract, Transform and Load type solutions Softer skills will include enthusiasm, the desire to be the best at what you do, to leave the customer smiling, and become ...

Skills: Proficiency in working with both live and acquired data sources. BW/4HANA Proficiency: Deep experience with writing queries on BW/4HANA. ETL & Data Warehousing: Strong understanding of ETL processes and data warehouse concepts, with the ability to work effectively with data engineering teams and underlying data structures. … activities for analytics solutions. Experience working with senior stakeholders and C-suite audiences to communicate technical capabilities and business insight. Desirable Technical Skills & Qualifications ETL & Data Warehousing: A background in ETL processes and data warehouse management is desirable but not essential. SAP Datasphere: Demonstrable experience with SAP Datasphere would ...

target orgs, covering data types, picklist values, record types, required fields, and validation rules. Design and maintain SQL Server staging databases and schemas to extract, cleanse, transform, and stage Salesforce data ahead of loading. Write, optimise, and test T-SQL (stored procedures, views, ETL logic) to implement transformation and data … parent/child relationships and record ownership, preserving referential integrity through ID cross-referencing (source ID to target ID) and correct load order. Extract and load data using appropriate tooling (e.g., Salesforce Data Loader, Bulk API, SSIS, Azure Data Factory, dbAmp, or equivalent) and manage error handling and re-runs. ...

reporting solutions Develop migration strategies, plans, cutover approaches and rollback controls Profile source data and define mapping, transformation, cleansing, reconciliation and validation rules Run ETL operations ensuring accuracy, completeness and minimal service disruption Automate migrations using T-SQL and related tooling Tune performance through indexing, partitioning and query optimisation Identify … Document, train and hand over knowledge to clients and internal teams What you'll bring Core skills and experience Enterprise-scale data migration delivery ETL design and execution Data mapping, profiling, cleansing, transformation, reconciliation and validation Data quality management Advanced SQL and T-SQL (CTEs, window functions, stored procedures) Indexing ...

and initially offered for 12 months with potential extension. You will design and optimise SQL-based migration solutions, profile data, define mappings, run ETL processes, and ensure data quality and governance while communicating clearly with clients and internal teams. #J-18808-Ljbffr ...