10 of 10 Permanent ETL Development Jobs in London

pipelines and architectures, ideally integrating data from web analytics, content management systems (CMS), subscription platforms, ad tech, and social media. Ability to automate and optimise data workflows, using modern ETL/ELT tools (e.g., Airflow, dbt, Apache Spark) to ensure timely and reliable delivery of data. Experience building robust data models and reporting layers to support performance dashboards, user … meet functional requirements. Process Automation and Optimisation: Identify, design, and implement improvements to automate manual processes, enhance data delivery performance, and re-architect infrastructure for improved scalability and resilience. ETL Development and Infrastructure Building: Build and manage the infrastructure necessary for optimal ETL or ELT of data using Python, SQL, and Google Cloud Platform (GCP) big data … issues and uncover opportunities for operational or strategic improvements. Unstructured Data Handling: Capability for working with unstructured and semi-structured datasets, transforming raw information into actionable insights. Data Workflow Development: Skilled in developing and maintaining data transformation processes, managing data structures, metadata, workload dependencies, and orchestration frameworks. Large-scale Data Processing: A demonstrated history of manipulating, processing, and extracting More ❯

pipelines and architectures, ideally integrating data from web analytics, content management systems (CMS), subscription platforms, ad tech, and social media. Ability to automate and optimise data workflows, using modern ETL/ELT tools (e.g., Airflow, dbt, Apache Spark) to ensure timely and reliable delivery of data. Experience building robust data models and reporting layers to support performance dashboards, user … meet functional requirements. Process Automation and Optimisation: Identify, design, and implement improvements to automate manual processes, enhance data delivery performance, and re-architect infrastructure for improved scalability and resilience. ETL Development and Infrastructure Building: Build and manage the infrastructure necessary for optimal ETL or ELT of data using Python, SQL, and Google Cloud Platform (GCP) big data … issues and uncover opportunities for operational or strategic improvements. Unstructured Data Handling: Capability for working with unstructured and semi-structured datasets, transforming raw information into actionable insights. Data Workflow Development: Skilled in developing and maintaining data transformation processes, managing data structures, metadata, workload dependencies, and orchestration frameworks. Large-scale Data Processing: A demonstrated history of manipulating, processing, and extracting More ❯

Translating Business requirements to technical solutions and the production of specifications, Designing and implementing business intelligence & modern data analytics platform technical solutions, Data architecture design and implementation Data modelling, ETL, data integration and data migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data … data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure. Experience with multi-dimensional design, star schemas, facts and dimensions. Experience and demonstrated competencies in ETL development techniques. Experience in data warehouse performance optimization. Experience on projects across a variety of industry sectors an advantage, Comprehensive understanding of data management best practices including demonstrated … Profit Share scheme divides a portion of our company's profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth. #J-18808-Ljbffr More ❯

well-established knowledge-sharing community. What you'll do Design and implement data solutions using Snowflake across cloud platforms (Azure and AWS) Build and maintain scalable data pipelines and ETL processes Optimise data models, storage, and performance for analytics and reporting Ensure data integrity, security, and best practice compliance Serve as a subject matter expert in Snowflake engineering efforts … you'll need Proven experience designing and delivering enterprise-scale data warehouse solutions using Snowflake In-depth understanding of Snowflake architecture, performance optimisation, and best practices Strong experience in ETL development, data modelling, and data integration Proficient in SQL, Python, and/or Java for data processing Hands-on experience with Azure and AWS cloud environments Familiarity with More ❯

ensure data is reliable, accessible, and valuable across all areas of the business. What you’ll be doing: Designing, building, and owning high-performance data pipelines and APIs Developing ETL processes to support analytics, reporting, and business operations Assembling complex datasets from a wide variety of sources using tools like SQL, Python, dbt, and Azure Supporting and improving data … we’re looking for: Strong experience with Azure cloud technologies , particularly around data services Proficient in SQL and experienced with Python for data transformation Hands-on experience with dbt , ETL development , and data warehousing best practices Comfortable with deploying infrastructure as code and building CI/CD pipelines (e.g., using GitHub, Azure DevOps) Ability to manage large, unstructured More ❯

are looking for someone who can demonstrate experience in the following areas: Commercial experience with implementing Fabric strong Azure experience - Ideally using ADF, Databricks, ADLS etc Data Engineering background - ETL development, data storage platforms such as Data Warehouse, Lake, or Lakehouse architectures You will ideally have come from a consultancy background, and henceforth understand how to balance multiple More ❯

Essential Core Technical Experience 5 to 10+ years of experience in SQL Server data warehouse or data provisioning architectures. Advanced SQL query writing and stored procedure experience. Experience developing ETL solutions in SQL Server, including SSIS & T-SQL. Experience with Microsoft BI technologies (SQL Server Management Studio, SSIS, SSAS, SSRS). Knowledge of data/system integration and dependency … identification. Proficiency in MS Excel & VBA. Knowledge of Insurance or Banking/Finance domains. Exposure to DW development practices (code & configuration management, build processes). Understanding of data warehouse design patterns (e.g., Data Modelling). Ability to elicit business requirements and collaborate on end-to-end solutions. Supporting Core Technical Experience Experience with Jira, Confluence, MS Teams, or similar More ❯

Experience maintaining and/or contributing to bug bounty and responsible disclosure programs Understanding of language models and transformers Rich understanding of vector stores and search algorithms Large-scale ETL development Direct engineering experience of high performance, large-scale ML systems Hands on MLOps experience, with an appreciation of the end-to-end CI/CD process Have … day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi More ❯

but not necessary Experience with Google Platforms: Google Analytics, Google Ads, Google Search Experience with Snowflake or any other relational database Strong SQL skills + Experience with design and development of ETL processes Experience with user-facing analytics platforms: Tableau, Superset, Microstrategy Advanced Excel skills required, including proficiency with pivot tables and VLOOKUP; equivalent Google Sheets experience preferred More ❯

and to understand the business and strategic impact of your great engineering work - to whatever extent suits you. WHAT YOU'LL BE DOING Build innovative data solutions Support the development and rollout of an industry-first global analytics programme Develop and deploy automated code pipelines, from data acquisition through cleaning and preparing data for modelling, through to visualisation Help … HAVES OR EXCITED TO LEARN: Some experience designing, building and maintaining SQL databases (and/or NoSQL) Some experience with designing efficient physical data models/schemas and developing ETL/ELT scripts Some experience developing data solutions in cloud environments such as Azure, AWS or GCP - Azure Databricks experience a bonus 30 minute video interview with the People More ❯