151 to 175 of 237 Permanent ETL Jobs in London

Proven experience in data management, integration, or a similar role, preferably within the sports, leisure, or health sector. • Strong understanding of data structures, databases, ETL (Extract, Transform, Load) processes, and API development. • Excellent problem-solving skills and attention to detail. • Proficient in project management and communication. • Ability to work both more »

quantitative datasets Experience working with large datasets Relevant experience in data-related topics - data warehousing, data governance, data quality, data profiling, master data management, ETL, etc Data modelling experience, from contextual through to logical and physical. At Cognizant, taking care of employees is a priority: You can pursue innovative career more »

requirements and be able to analyse complex datasets to identify trends and insights. The Data Scientist will also assist in the development of their ETL processes to ensure data quality. Essential Requirements Strong Data Scientist experience eCommerce sector experience preferred. AWS Databricks Python Educated to degree level or equivalent experience more »

Experience working with data flows Great understanding of integration and overall system experience Experience with Salesforce Azure/Salesforce/Integration/Azure/ETL/SQL/Azure Data Factory Salary : £65,000 - £75,000 Locations : Hybrid - London Apply now for immediate consideration regarding this excellent opportunity Understanding Recruitment more »

are:Expert in AzureExperience working with data flowsGreat understanding of integration and overall system experienceExperience with SalesforceAzure/Salesforce/Integration/Azure/ETL/SQL/Azure Data FactorySalary: £65,000 - £75,000Locations: Hybrid - LondonApply now for immediate consideration regarding this excellent opportunityUnderstanding Recruitment is acting as an more »

and SSMS Knowledge of data handling and SQL advanced knowledge of SQL for complex troubleshooting SSIS for Azure MS Visual Studio specifically Report Designer ETL workflow/Visual Studio SSRS SSRS Reports/RDL's API’s This small and rapidly growing consultancy has some brilliant projects to get going more »

obtain signoff.Work with colleagues to develop, test, and deliver solutions, ensuring alignment with business needs.Requirements:Proven experience with real-time data (RTD) management.Proficiency in ETL processes using SSIS and scripting languages.Strong ability to develop SQL queries, views, stored procedures, and functions.Expertise in relational databases, particularly Microsoft SQL Server.Ability to thrive more »

with colleagues to develop, test, and deliver solutions, ensuring alignment with business needs. Requirements: Proven experience with real-time data (RTD) management. Proficiency in ETL processes using SSIS and scripting languages. Strong ability to develop SQL queries, views, stored procedures, and functions. Expertise in relational databases, particularly Microsoft SQL Server. more »

ISEB/ISTQB Software Testing accredited or equivalent. Experience with test management tools, Selenium, Specflow, Nunit, C#, SQL, etc. Knowledge of SDLC, Agile methodologies, ETL testing, and CI/CD frameworks. Familiarity with risk and defect management, browser compatibility testing, and XML. MS Dynamics experience is advantageous. Experience: Leading Test more »

understanding of system design/architecting – Including data engineering and data management.Promoting engineering standards, best practices and testingExperience in building out APIs, Cloud-based ETL pipelines, customer UIs and end-to-end data processing solutionsStakeholder management skillsTech Stack:JavaScript/TypeScript, React, Node, Python, AWS, GraphQL, BaaS, React Native, GCP more »

for this role. Your responsibilities as a Data Engineer will include, but not be limited to:Spearhead Data Engineering work within the team, including ETL pipelines, CI/CD, platform engineering.Help guide and mentor junior team members on key Data Engineering projects for the business.Engage with senior business stakeholders and more »

for this role. Your responsibilities as a Data Engineer will include, but not be limited to: Spearhead Data Engineering work within the team, including ETL pipelines, CI/CD, platform engineering. Help guide and mentor junior team members on key Data Engineering projects for the business. Engage with senior business more »

work is done within Python, C# and Scala with a range of databases. Snowflake is widely used, as are Docker and Kubernetes for containerisation. ETL and ELT tech are also used every day, primarily Airflow, Spark, Hive and a lot more. You’ll need to come from a strong academic more »

work is done within Python, C# and Scala with a range of databases. Snowflake is widely used, as are Docker and Kubernetes for containerisation. ETL and ELT tech are also used every day, primarily Airflow, Spark, Hive and a lot more.You’ll need to come from a strong academic background more »

and driven by success. They are looking for someone who can promote engineering standards, best practices, and testing while building out APIs, Cloud-based ETL pipelines, customer UIs, and end-to-end data processing solutions.Ideally, you will have strong JavaScript/TypeScript, Python, and AWS experience, as well as a more »

manage ingestion tools, storage accounts, and analytical applications and their access. Adhere to current logic and design and strive for consistency in solutions. Create ETL processes for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure Synapse tools and technologies. Data pipeline development … is essential. (Dedicated SQL Pool, Azure Data Factory, Azure Storage) Proficiency in programming language such as Python End-to-end Data Warehouse experience: ingestion, ETL, 'big data' pipelines, data architecture, message queuing, stream processing, BI/Reporting, and Data Security. Ability to build processes supporting data transformation, data structures, metadata … dependency, and workload management, as well as the ability to manipulate, process, and extract value from large, disconnected structured and unstructured datasets. Advanced SQL/relational database knowledge (including SSIS), query authoring (SQL). Experience performing root cause analysis on data, answering specific business questions, and identifying opportunities for improvement. more »

storage systems on Google Cloud Platform (GCP). You will be working with technologies such as Apache Airflow, BigQuery, Python, and SQL to transform and load large data sets, ensuring high data quality and accessibility for business intelligence and analytics purposes. Our business is growing quickly and with that so … Key Responsibilities Design, construct, install, test, and maintain data pipelines. Ensure systems meet business requirements and industry practices for data integrity and quality. Manage ETL and ELT pipelines across many data sources (CSV/parquet files, API endpoints, etc) Design and build data models for the business end users. Write more »

focus is on data analytics and migrating from Tableau to Power BI. Experience/skills required: Proficient in data analysis, data modelling and designing ETL processes. Familiar with Data Mesh architecture and Data Products Highly skilled in T-SQL with experience in performance tuning and dealing with large data volumes … differences in the approach for building self-service BI (business or IT managed) vs Corporate BI solutions including the choice of data sources and ETL approach Familiar with engineering processes for developing APIs Understanding the principles of building solutions using Snowflake, open-source frameworks, multi-cloud infrastructure In Return: A more »

leading hedge fund. The ideal candidate should have a proven ability to design and implement data solutions, with expertise in extracting, transforming, and loading (ETL) data from various sources, including websites, PDFs, and Real Time data streams. Role: Python Data Engineer Client: Leading Hedge Fund Type of role: contract … Science, Data Science, Engineering, or a related field. Minimum of 7+ years of experience in a data engineering role, with a strong focus on ETL processes, data warehousing, and Real Time data processing. Proficiency in Python programming; knowledge of C++ is an advantage. Expertise in SQL and experience with SQL more »

Engineer, you will play a crucial role in empowering our underwriting team with robust data infrastructure. You will be responsible for designing, building, and optimizing ETL pipelines using SQL and Python. Leveraging the Azure Data Engineering stack, including Azure Data Factory (ADF) and Azure Synapse Analytics, you will ensure our … data processes are efficient, scalable, and reliable. The Senior Data Engineer will be responsible for: Design and develop ETL pipelines to support the data needs … of our underwriting team Collaborate closely with cross-functional teams to understand requirements and deliver tailored solutions Utilize SQL and Python to extract, transform, and load data from various sources Architect and maintain data engineering solutions on the Azure platform, including ADF and Synapse Implement best practices for data quality more »

and performant schemas. Experience with various database technologies like relational databases, NoSQL, and cloud-based data storage solutions. Understanding of data warehousing concepts and ETL (Extract, Transform, Load) processes. Familiarity with tools like Tableau for data visualization. Good to have: Good Knowledge in Erwin Good Knowledge in Magic Draw Rewards more »

spanning industries from SaaS; media; gaming; financial services; e-commerce and more. Pythian is known for its technology-enabled data expertise covering everything from ETL to ML. We pride ourselves on our ability to deliver innovative solutions that meet the specific data goals of each client and have built meaningful more »

entry definition Skilled in creating and managing large and complex data models Experience of using SQL to query relational databases Expertise in working with ETL tools such as Alteryx Flexibility to travel and to meet with key stakeholders Keen interest in own continuing professional development Don't meet every single more »

Minimum 2 years' experience with Insurance Broking System data migration (ideally Acturis) Proficiency in SQL and data manipulation languages Minimum 2 years' experience with ETL Tools Exposure to Insurance Sector with minimum 2 years experience of Broking Related Software Applications ALL APPLICANTS MUST BE FREE TO WORK IN THE UK. more »

API’s and hands on experience in building custom API’s and integration. A good understanding of enterprise application integration, including SOA, ESB, EAI, ETL environments and an understanding of integration considerations such as process orchestration, customer data integration and master data management. Salesforce deployment and release management framework and more »