101 to 114 of 114 ETL Jobs in the Thames Valley

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 ❯

Partnering with teams to understand business needs and turning them into meaningful BI solutions Designing and building reports, dashboards, and data models that tell a clear story Developing efficient ETL processes and ensuring data accuracy and integrity Owning projects from start to finish with the freedom to innovate and improve Supporting colleagues with insights, guidance, and user-friendly reports Staying … Strong SQL skills and hands-on experience with Microsoft SQL Server BI tools Experience building dashboards in Power BI, Tableau, or similar platforms Confidence working with relational databases and ETL processes Excellent Excel and data manipulation ability Clear communicator who enjoys working with stakeholders and translating needs into solutions Previous experience in a BI, MIS, or data-focused role Bonus More ❯

who want to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and analysts … financial services, consulting, or a data-heavy technical environment. Strong programming ability in Python (including libraries such as pandas and NumPy ) and proficiency with SQL . Confident working with ETL frameworks , data modelling principles, and modern data tools (Airflow, Kafka, Spark, AWS). Experience working with large, complex datasets from structured, high-quality environments — e.g. consulting, finance, or enterprise tech. More ❯

Key Responsibilities: Requirement Gathering: Collaborate with business and data teams to understand reporting needs and translate them into technical specifications. Data Integration & Modeling: Design efficient data models and perform ETL from various sources to ensure data accuracy and performance. Dashboard Development: Build interactive, user-friendly dashboards and reports using Qlik Sense scripting and visualization tools. Performance Optimization: Enhance application performance … and apply best practices to improve solution design and performance. Required Skills: •Qlik Sense Expertise: Proficiency in Qlik Sense, including data modeling, scripting, and visualization techniques. •Data Integration and ETL: Knowledge of ETL processes, data extraction, and transformation, along with experience in SQL and data connectors. •Scripting: Experience with Qlik’s scripting language for custom data loading, transformation, and calculations. More ❯

turning business needs into actionable insights. Working closely with Qlik Developers , you ensure that dashboards are aligned with stakeholder goals and deliver accurate, impactful visualizations. You leverage Snowflake to extract, transform, and model relevant data, maintaining scalable structures that support KPIs and performance metrics across departments. Your work enables data-driven decisions , process optimization, and operational visibility. Key Responsibilities Business … with data engineers, developers, and business teams for seamless data integration and delivery. Required Skills Strong experience in data analysis , business alignment , and KPI validation Proficiency with Snowflake , SQL , ETL , and data modeling Experience with Qlik Sense or similar BI tools Solid understanding of data visualization , UX , and dashboard design Analytical and problem-solving mindset Good communication skills and ability More ❯

the investment and risk processes. This is a fully hands-on role within a small, high-calibre team, offering significant impact and ownership. You will develop robust, production-grade ETL pipelines, manage cloud-based and on-prem data environments, and integrate diverse datasets from external vendors, trading systems and internal sources. The role also involves implementing automated data validation processes … Qualifications 5–10 years’ experience in data engineering or related roles Proven background at a leading finance or big tech firm Strong hands-on expertise in Python and modern ETL frameworks Experience designing and maintaining cloud-based data pipelines (e.g. AWS, Airflow, Snowflake) Deep understanding of data modelling, validation, and pipeline resilience Familiarity with financial or alternative datasets preferred More ❯

Senior Data Analyst - GCP, PostregSQL, AWS, ETL, SQL - Hybrid, Milton Keynes A large global organisation are looking to hire a Senior Data Analyst to lead end-to-end data workflows from requirement to delivery including data product creation and secure data transfer from Google Cloud Platform to PostgreSQL. This will be a full time permanent position. The role will be … prioritizing clarity, reusability, and efficiency. Build and manage workflow orchestrations (eg, Airflow DAGs) to automate those views, ensuring reliable execution on daily, weekly, or customized schedules. Execute Cross Platform ETL with AWS Glue Develop, deploy, and maintain AWS Glue jobs to extract data from GCP (such as BigQuery or GCS) and load it into PostgreSQL. Set up secure connectivity, schedule … jobs via cron or trigger mechanisms, and ensure data pipelines are reliable and idempotent. Monitor, Troubleshoot & Resolve Incidents Continuously oversee ETL workflows in Airflow and AWS Glue, proactively responding to alerts and errors. Conduct root cause analysis for pipeline failures-whether due to schema mismatches or performance bottlenecks-and apply robust fixes. Document resolutions to strengthen system resilience. Design, Build More ❯

years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Key job responsibilities • Design, develop, and oversee the reporting pipelines to onboard internal and external data sources provided metrics into reporting and measurement tool, using appropriate technologies (e.g., SQL … Oracle, NoSQL etc. experience • Knowledge of paid media buying and general marketing • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modeling, warehousing and building ETL pipelines • Experience writing complex SQL queries • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelling • Experience developing and … of new metrics allowing better understanding of the performance of the business Preferred qualifications • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets • Experience with forecasting and statistical analysis • Adjacency and understanding on media and marketing landscape • Experience in code More ❯

into spatial decision-making tools. Create interactive dashboards and maps for stakeholder engagement. Data Management & Quality Assurance Establish data governance protocols for spatial data accuracy, completeness, and consistency. Implement ETL workflows using ArcGIS Data Interoperability tools or third-party solutions. Manage metadata standards and spatial data cataloging. Security & Access Control Configure role-based access controls and user permissions. Ensure compliance … ArcGIS Enterprise and managing spatial data infrastructures. Strong knowledge of spatial analysis, environmental modelling, and energy planning. Proficiency in Python, ModelBuilder, and ArcPy for automation. Experience with data migration, ETL tools, and system integration. Familiarity with cloud-based GIS deployments and hybrid architectures. Desirable Skills/Knowledge/Experience Experience with community engagement tools and participatory GIS. Experience with Agile More ❯

Position: Principal Consultant Employment Type: Permanent Language(s): English Salary: Up to £105,000 p/a + bonus and benefits Client – Partnered with a global leader in digital transformation and IT services, working with some of the world’s More ❯

world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role: Seeking a skilled Data Analyst with expertise in Teradata, Informatica ETL, and risk modeling using SAS and Python. Design and implement ETL workflows to manage data extraction, transformation, and loading into Teradata. Build and maintain risk models for credit, operational, and … deliver data-driven solutions. Perform exploratory data analysis to uncover trends and support risk mitigation. Automate reporting and dashboard creation using Python and BI tools. Optimize Teradata queries and ETL performance for efficient data processing. Document data flows, model logic, and technical specifications for transparency. Ensure compliance with data governance and contribute to continuous improvement initiatives. Your Profile: 3+ years … of experience in data analysis and ETL development. Strong proficiency in Teradata SQL and Informatica PowerCenter. Experience building and validating risk models using SAS and Python. Solid understanding of statistical techniques and risk modeling frameworks. Familiarity with data governance and compliance standards. Excellent problem-solving and communication skills. ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner, helping More ❯

including scope, approach, governance, tools, timelines, and success criteria. Ensure alignment with business objectives, IT architecture, and compliance requirements. Develop detailed migration plans that align with project timelines. Coordinate ETL processes, data cleansing, and transformation activities with internal IT, business and external vendors. Document Business Data Requirements and Data Mapping Work collaboratively with business analysts, reinsurance teams and product specialists … quality, and resolve related issues during stabilisation and audit review. Requirements: Proven experience leading data migration projects within insurance, reinsurance, or financial services environments. Strong knowledge of data structures, ETL tools, and migration methodologies. Experience with reinsurance business processing is highly desirable. Demonstrated ability to produce migration artefacts such as data mapping documents, migration plans, and validation reports. Excellent communication More ❯

including scope, approach, governance, tools, timelines, and success criteria. Ensure alignment with business objectives, IT architecture, and compliance requirements. Develop detailed migration plans that align with project timelines. Coordinate ETL processes, data cleansing, and transformation activities with internal IT, business and external vendors. Document Business Data Requirements and Data Mapping Work collaboratively with business analysts, reinsurance teams and product specialists … quality, and resolve related issues during stabilisation and audit review. Requirements: Proven experience leading data migration projects within insurance, reinsurance, or financial services environments. Strong knowledge of data structures, ETL tools, and migration methodologies. Experience with reinsurance business processing is highly desirable. Demonstrated ability to produce migration artefacts such as data mapping documents, migration plans, and validation reports. Excellent communication More ❯

is a fantastic opportunity to work in a high-performing, collaborative team environment with the flexibility of a hybrid working model in Central London. Key Responsibilities: Design and implement ETL pipelines for data lakes, data warehouses, ODS, and data marts Collaborate with business and technical teams to onboard new insurance programs Cleanse, profile, and validate large data sets to ensure … reporting tools to support business insights Contribute to the growth and optimisation of the enterprise data infrastructure Required Experience: Insurance industry experience is essential 5+ years of hands-on ETL experience across data integration architectures Strong expertise in SQL, Azure Data Factory, JSON, XML, and Dataflows Proven experience with data profiling, cleansing, and validation Excellent communication and organisational skills What More ❯