251 to 275 of 340 ETL Jobs in England

Contract Data Analyst (BigQuery) – Inside IR35 Location: Manchester - 2 days a week in the office Contract: 3 months (Inside IR35

strategy, and approach. Collaborate with functional consultants and business stakeholders to capture data mapping requirements (including transformation rules). Develop, configure, execute, and optimise Extract-Transform-Load scripts . Support migration planning activities. Familiarity with Informatica or Pentaho would be advantageous. Execute migrations, carry out validation checks, and prepare status

Cloud specialist. Delivered two successful end-to-end Salesforce Data Cloud implementations. Strong expertise in designing scalable enterprise-level data architecture solutions. Experienced in ETL tools, data migration, and data cleansing practices. Proficient in writing and optimizing moderate to advanced SQL queries. Preferably a Salesforce Data Cloud Consultant certification holder.

required Deep knowledge of PostgreSQL, Snowflake and Greenplum Snowflake internals, schemas, modelling, data lakes and integration patterns Data ingestion using Informatica, Talend and similar ETL tooling Strong experience handling JSON, XML, CSV and multi-source datasets Patroni expertise for HADR and streaming replication Backup, recovery, tuning and optimisation across Postgres

Data, Architecture and Programme teams To apply, please send your CV ASAP. KEY SKILLS: Test Strategy, Test Governance, UAT, SIT, E2E, Data Migration (DM) & ETL, AS-IS/TO-BE, SQL, B2B Integration, Risk & Dependency Mgmt, Vendor Mgmt (In/Outsource

Design Key Requirements: Application Support/Consultancy Proven product and software implementation skills Knowledge of Supply Chain processes Understanding of data structures, databases, and ETL processes. SQL Server, Excel Strong analytical skills. Excellent presentation skills and the ability to train users on systems Excellent communication and documentation skills. Package: Life

Design Key Requirements: Application Support/Consultancy Proven product and software implementation skills Knowledge of Supply Chain processes Understanding of data structures, databases, and ETL processes. SQL Server, Excel Strong analytical skills. Excellent presentation skills and the ability to train users on systems Excellent communication and documentation skills. Package: Life

enhance efficiency, automate processes, and drive strategic decision-making. Your primary responsibilities will include gathering, cleaning, and integrating data from diverse sources, developing efficient Extract, Transform, Load (ETL) procedures, and utilizing BI tools like Tableau and Power BI to create clear, impactful dashboards and reports. A deep understanding and application

queries and optimising query performance. Strong skills in Python Experience with AWS or GCP Demonstrated experience and responsibility with data, processes, and building ETL pipelines. Experience with cloud data warehouses such as Amazon Redshift, and Google BigQuery. Building visualizations using tools such as Looker studio or equivalent Experience in designing … ETL/ELT solutions, preferably using tools like Airflow or AWS Glue Solid analytical and technical skills Good communications skills both verbally and written; this role will be working closely with business users. NICE TO HAVE Development & Deployment of machine learning models using PyTorch Experience with GIS systems (Postgis,QGIS

crucial as we gear up for an exciting data warehouse migration from New York to London in 2026! Key Responsibilities Analyse and optimise SSIS ETL pipelines and batch jobs. Improve SQL performance through effective indexing and execution plans. Identify and resolve locking and blocking issues to enhance efficiency. Apply best … SSAS and SSRS tools. Deep understanding of execution plans and performance tuning techniques. Strong troubleshooting and problem-solving skills. Proven history of improving complex ETL environments. Nice to Have Experience with C# for SSIS scripts. Proficiency in Python. Exposure to Power BI for data visualisation. Why Join Us? Be part

crucial as we gear up for an exciting data warehouse migration from New York to London in 2026! Key Responsibilities Analyse and optimise SSIS ETL pipelines and batch jobs. Improve SQL performance through effective indexing and execution plans. Identify and resolve locking and blocking issues to enhance efficiency. Apply best … SSAS and SSRS tools. Deep understanding of execution plans and performance tuning techniques. Strong troubleshooting and problem-solving skills. Proven history of improving complex ETL environments. Nice to Have Experience with C# for SSIS scripts. Proficiency in Python. Exposure to Power BI for data visualisation. Why Join Us? Be part

delivering secure, scalable data solutions. Key Responsibilities Design and implement data pipelines on AWS using services such as Glue, Lambda, S3, and Redshift. Develop ETL processes and optimise data workflows for performance and security. Collaborate with analysts and architects to ensure compliance with government security standards. Troubleshoot and resolve issues … Strong experience with AWS services (Glue, Lambda, S3, Redshift, IAM). Proficiency in Python and SQL for data engineering tasks. Knowledge of data modelling, ETL frameworks, and best practices. Familiarity with security and compliance in government or regulated environments. Excellent communication and problem-solving skills. Active SC clearance (mandatory).

delivering secure, scalable data solutions. Key Responsibilities Design and implement data pipelines on AWS using services such as Glue, Lambda, S3, and Redshift. Develop ETL processes and optimise data workflows for performance and security. Collaborate with analysts and architects to ensure compliance with government security standards. Troubleshoot and resolve issues … Strong experience with AWS services (Glue, Lambda, S3, Redshift, IAM). Proficiency in Python and SQL for data engineering tasks. Knowledge of data modelling, ETL frameworks, and best practices. Familiarity with security and compliance in government or regulated environments. Excellent communication and problem-solving skills. Active SC clearance (mandatory).

ensure reliable, secure, and efficient data infrastructure for the organisation. What you'll be doing: Design, develop, and maintain scalable data architectures and ETL pipelines Build and manage data models and data warehouse solutions (Airflow, dbt, and Redshift) Write clean, efficient Python and SQL code for data processing and transformation … improvement of data processes and tooling across the organisation Experience required: Proven experience in data engineering and building scalable data solutions Strong experience with ETL processes, data modelling, and data warehousing Proficiency in Python and SQL Expertise in relational (SQL) and NoSQL database technologies Hands-on experience with AWS Solid

this is the role for you. What you'll do Design and develop end-to-end Azure Data Warehouse solutions Build and maintain robust ETL/ELT pipelines using Azure Data Factory. Implement and maintain efficient data models and star/snowflake schemas. Optimize queries, improve performance, and ensure data … and performance tuning. Hands-on experience with Azure Synapse Analytics, Data Factory. Strong background in data modelling, dimensional design, and ETL development. Proficiency in Power BI for data visualisation and reporting. Experience with Power Automate for process automation and workflow integration. Excellent problem-solving skills and the ability to work

governance, and risk policies. Skills & Experience - Essential Strong SQL Server or Snowflake skills. Advanced knowledge of low-code/no-code data engineering/ETL tools - ideally Markit EDM (v19.2+) or similar (e.g. Informatica). Proven delivery experience in Financial Services/Banking sector. Deep understanding of SDLC, systems integration … bank with long-term stability, world-class resources, and clear career progression routes. Enterprise Data Architect, EDM Developer, Data Engineering Lead, Data Architect, ETL Developer, Data Solutions Architect, Senior Data Engineer (Financial Services). Apply today for full details. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy

governance, and risk policies. Skills & Experience - Essential Strong SQL Server or Snowflake skills. Advanced knowledge of low-code/no-code data engineering/ETL tools - ideally Markit EDM (v19.2+) or similar (e.g. Informatica). Proven delivery experience in Financial Services/Banking sector. Deep understanding of SDLC, systems integration … bank with long-term stability, world-class resources, and clear career progression routes. Enterprise Data Architect, EDM Developer, Data Engineering Lead, Data Architect, ETL Developer, Data Solutions Architect, Senior Data Engineer (Financial Services). Apply today for full details. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy

preferred, but any strong data visualisation experience considered). Use SQL to manage and analyse large datasets efficiently. Apply your strong understanding of ETL processes to improve data workflows and ensure reliable data pipelines. Perform robust data cleaning and preparation to support high-quality analytics. Tell compelling stories with data … Looking For Strong experience in data visualisation (Power BI ideal). Solid SQL skills and comfort working with large, complex datasets. Strong grasp of ETL concepts and data pipeline processes. Proficiency in data cleaning, transformation, and preparation. Excellent communication and data storytelling ability. Ability to collaborate with stakeholders and translate

ensuring data is accurate, structured, and available powering both real-time business intelligence and future advanced analytics. Key Responsibilities Design and develop automated ETL/ELT pipelines using SQL and Python Integrate internal/external data sources via APIs and platform connectors Model and structure data for scalable analytics (e.g. … science and machine learning initiatives The successful applicant will be proficient in SQL and Python, with a proven track record of building and maintaining ETL/ELT pipelines. Experience working with Microsoft Fabric, Azure Data Factory, and modern Lakehouse or data warehouse architecture is essential. You’ll demonstrate a strong

collaborating with cross-functional teams to deliver digital products. Key skills and responsibilities: Design, build, and maintain scalable ETL pipelines to ingest, transform, and load data from diverse sources (APIs, databases, files) into Azure Databricks. Implement data cleaning, validation, and enrichment using Spark (PySpark/Scala) and related tools

Management: o Utilize Teradata Vantage for data warehousing and advanced analytics. o Optimize queries and data structures for efficient risk data aggregation. Data Integration & ETL Development: o Design, develop, and optimize ETL workflows using Informatica PowerCenter and related tools. o Manage large-scale data integration projects across multiple platforms, ensuring … Support governance and lineage documentation for risk data flows. Required Skills & Experience Strong experience in Teradata and Informatica PowerCenter for data integration and ETL development. Strong experience in writing and understanding the complex SQL queries and data warehousing concepts. Knowledge of BCBS239 principles and regulatory risk data aggregation requirements. Good

Expertise in Pentaho Data Integration for ETL processes. Strong understanding of data warehousing concepts, data modelling, and schema design. Experience with other ETL tools (Informatica, Talend, SSIS) is a plus. Advanced SQL for querying and data manipulation. Familiarity with Java, Python, or VBA for scripting and automation. Knowledge of RESTful … APIs and various database systems. Skills in data profiling, data analysis, and ensuring data quality. Experience 612 years in Data Integration and ETL development. Minimum 35 years of hands-on Pentaho experience. Leading complex ETL projects and working with cross-functional teams. Exposure to Banking/Financial Services domain

basis however occasional trips to the office in Bath is welcomed. Key Requirements Demonstrated expertise in Python programming, Data Science methodologies, and GIS Develop ETL pipelines of large-scale Raster, Vector and Tabular Data. Collaborate with developers, designers, analysts to build and improve applications. Research, design, test, and maintain software

Business Analyst is preferred. Experience in workforce management, scheduling, HR tech, optimisation domains, AI/ML productisation, LLM integration, MLOps, or enterprise integration standards (ETL, REST APIs, webhooks, event streaming) is a bonus. At the centre of the company's culture is freedom and openness which takes

legacy repositories, analyse document structures and metadata, and map them to the enterprise taxonomy Plan and execute large-scale data extraction, transformation, and loading (ETL) activities while maintaining full data integrity and compliance Run test migrations, reconciliation checks, and quality assurance cycles Troubleshoot issues in real time and implement rapid