26 to 50 of 198 ETL Jobs in London

experience within the industry Lead Engineering engagement with Actuarial SMEs and Underwriters Mentor Analytics Engineering team members to develop and maintain end-to-end ETL processes Maintain a high level of coding and technical standards across the team Demonstrate a high level of technical capability in Python, SQL, and JSON more »

Visualisation and Design SQL (SQL Server) SSAS (Tabular) Relational and Dimensional Data Modelling Experience with Tabular Model development with the use of Visual Studio ETL (Data Cleansing/Quality) Experience working in an Agile environment utilising Agile SCRUM Nice to have experience working with: Power Platform (Automate, Apps, Fabric) Azure more »

the infrastructure that supports their cutting-edge trading strategies. Key Responsibilities: Design and manage scalable data pipelines. Integrate data from various sources and develop ETL processes. Optimise database systems for high performance. Work with data scientists and analysts to meet data needs. Automate data processing tasks to enhance efficiency. Implement more »

the infrastructure that supports their cutting-edge trading strategies. Key Responsibilities: Design and manage scalable data pipelines. Integrate data from various sources and develop ETL processes. Optimize database systems for high performance. Work with data scientists and analysts to meet data needs. Automate data processing tasks to enhance efficiency. Implement more »

seeking Senior Data Engineers to contribute to innovative data projects within a leading financial institution. Key Responsibilities: Data Engineering: Design and implement data models, ETL processes, and data warehousing solutions. Programming: Utilize Python, Java, Scala, or GoLang to build and optimize data pipelines. Distributed Processing: Work with Hadoop, Spark, and more »

with the best data solutions. Working with and modelling data warehouses. Skills & Qualifications Strong technical expertise using SQL Server and Azure Data Factory for ETL Solid experience with Databricks, PySpark etc. Understanding of Agile methodologies including use of Git Experience with Python and Spark Benefits £65,000 - £75,000 Bonus more »

Proficiency in SQL and other programming languages commonly used in data analysis and BI. Deep understanding of database management systems, data integration techniques, and ETL processes. Excellent analytical and problem-solving skills, with the ability to turn complex data into meaningful insights. Strong communication and interpersonal skills, with the ability more »

Bundles (DAB's) for streamlining the development of complex data and analytics for the Databricks platform. (IaC) Strong understanding of data warehousing concepts and ETL processes. Excellent problem-solving skills and attention to detail. Ability to work independently in a remote setup with minimal supervision. Role details: Job role: Senior more »

deadlines. Develop and uphold the best practice standards, design patterns and documentation for data management and data engineering. Design, build, and manage data pipelines, ETL processes, and data orchestration workflows that transfer data smoothly across different systems and platforms. Create system design for integrating and managing data. Ensure that you more »

quality Business Intelligence products and solutions Good understanding of the Microsoft technology stack, specifically PowerBI, Databricks & Azure Cloud Proficiency in SQL, good understanding of ETL and ELT processes Strong communication skills, ability to translate complex messages into concise, easy-to-understand messages Strong story telling skills, ability to create a more »

management of an Azure cloud-based data & analytics platform. • Comprehensive experience in the complete data pipeline development process, encompassing data warehousing, data analytics, and ETL processes. • Profound understanding of best practices in data governance, privacy, and quality. • Exceptional skills in communication, leadership, and team management. • Capability to handle multiple tasks more »

contribute to the technical aspects in the upkeep of the data estate. Focusing on hands-on development, enhancement, and maintenance of data models and ETL processes within the data estate You will emphasise the importance of data quality and governance in your project work, contributing to the organisational data model more »

management of an Azure cloud-based data & analytics platform. Comprehensive experience in the complete data pipeline development process, encompassing data warehousing, data analytics, and ETL processes. Profound understanding of best practices in data governance, privacy, and quality. Exceptional skills in communication, leadership, and team management. Capability to handle multiple tasks more »

analytic role, with a focus on analysis, reporting and visualisation in Looker Studio + Highly proficient in GCP/GBQ, SQL, data modelling and ETL processes + Experience with Supermetrics, GitHub, DBT, Google Big Query and Shopify + Strong communication and presentation skills to effectively convey insights to both technical more »

and Machine Learning engineers and it is responsible for supporting data scientists in deploying, maintaining and monitoring an increasing number of Python-based microservices, ETL pipelines, SaaS models, databases and vector stores. The MLOps Lead would need to act as an interface between data scientists, the data & analytics team and more »

with Amazon Web Services a strong plus - CloudFormation, EMR, S3, EC2, Athena etc. Experience with scheduling services such as Airflow, Oozie. Experience with Data ETL and data modeling Experience with building large-scale systems with extensive knowledge in data warehousing solutions. Developing prototypes and proof-of-concept systems. Strong analytical more »

Mathematics, or related field 📊 Experience : Proven Data Engineer experience, preferably in finance 💻 Skills : Python, SQL, NoSQL, big data tools Cloud platforms (AWS, Azure, GCP) ETL processes and database design Join us and make a difference more »

Azure and Snowflake, enhancing data capabilities for analytics and science. What you need: 3+ years of hands-on experience as a Data Engineer, building ETL pipelines and managing data lifecycle. Strong Python coding experience. 2+ years of commercial experience developing in Snowflake. Good understanding of cloud principles (ideally Azure but more »

Experience with Real Time data analysis and financial systems (preferred). Knowledge of database design principles, performance optimization, and Datamodelling. Familiarity with data integration, ETL processes, and data warehousing. Excellent problem-solving skills and the ability to work effectively in a fast-paced environment. Strong communication and teamwork skills. A more »

Microsoft Windows and web services (IIS and Tomcat), CI/CD pipelines (Azure DevOps), and generating XML files Understanding of database design techniques, optimisation, ETL best practices, and dimensional modeling BSc/BA in Computer Science, Engineering, or related field This is a change to join a brilliant, established business more »

with real-time data analysis and financial systems (preferred). Knowledge of database design principles, performance optimization, and data modeling. Familiarity with data integration, ETL processes, and data warehousing. Excellent problem-solving skills and the ability to work effectively in a fast-paced environment. Strong communication and teamwork skills. A more »

in Python to work within a fast paced Data team . You will work very closely with Quant Research, Trading, Quant Development and traditional ETL/ELT Data Engineering. In this latency sensitive trading environment , your work is intrinsic to the firms PnL. Your core focus will be on on more »

development processes. Additional duties as needed. Preferred Skills: Experience with additional frameworks and libraries such as PyTorch or TensorFlow. Knowledge of data engineering and ETL processes. Experience with version control systems, particularly Git. Knowledge of telecommunications technologies and industry standards. Qualifications: Bachelor's or Master's degree in Computer Science more »

be a SPOC for all technical discussions across industry groups. • Excellent design experience, with entrepreneurship skills to own and lead solutions for clients • Excellent ETL skills, Data Modeling Skills • Excellent communication skills • Ability to define the monitoring, alerting, deployment strategies for various services. • Experience providing solution for resiliency, fail over more »

proposing solutions for improvements Skills and Experience Excellent knowledge of SQL Knowledge of Python (other languages might be equivalent) Experience in creating and maintaining ETL pipelines Know your way around Unix based operating system Experience working with any major cloud provider (AWS, GCP, Azure) Fluency in English Experience using Apache more »