151 to 175 of 427 ETL Jobs in England

in R, Python, and SQL for data manipulation and analysis. Experience with Enterprise Data Management (EDM) tools and concepts. Strong understanding of data modeling, ETL processes, and data quality management. Familiarity with financial services or asset management industry preferred. Excellent problem-solving skills and attention to detail. Ability to work more »

experience. Within Azure, should be familiar with performance tuning, T-SQL, maintenance, and replication. Experience with multiple database platforms including Sybase ASE. Experience with ETL development within Azure as well as knowledge of Informatica. Should be comfortable with Linux and Shell Scripting. Some experience with Terraform, Powershell and Gitlab. Bachelor more »

on experience in leading large-scale full-cycle MPP enterprise data warehousing (EDW) projects Extensive hands-on experience in data warehousing design, tuning and ETL/ELT process development Excellent SQL and strong hands-on scripting (bash, perl or python) ability Experience implementing AWS services in a variety of distributed more »

required: Sound experience within Business Intelligence development Experience using Power BI dataflows to manage data from multiple sources Understanding of database management systems and ETL frameworks Knowledge of SQL, M Query and DAX, ideally with some capability in R scripting Ideally some experience in a professional services sector, providing analysis more »

with plans to also add GCP and on-prem. They are adding extensive usage of distributed compute on Spark, starting with their more complex ETL and advanced analytics functions, e.g. Time Series Processing. They soon plan to integrate other approaches, including native distributed PyTorch/Tensorflow, Spark-based distributor libraries more »

CI\CD automation NoSQL Database Technology such as MongoDB CDC and streaming technologies such as Qlik Replicate & Kafka Basic data architecture principles, solutioning and ETL experience and containerisation Knowledge of database structures such as relational and dimensional modelling and design Designing and developing streaming services Designing and developing APIs Team more »

experience with both relational (e.g. PostgreSQL) and non-relational databases (e.g. Elasticsearch, Redis). Strong experience in data warehousing architecture, big data processing and ETL Unix/Linux environments GIT and working in collaborative software environments Willingness to learn new skills as the project requires Self-motivated and capable of more »

Provide estimates, work independently and meet deadlines Manage the releases and the related builds in each environment Perform development, testing, and support of data ETL/ELT programs (pipelines), using such tools as AWS Glue, Azure Data Factory, Informatica or similar ETL/ELT platforms, as well as knowledge of … learn the associated scheduling logic for data pipelines using scheduling tool such as Autosys or Airflow Read and translate logical data models and use ETL skills to load the physical layer, based on an understanding of timing of data loads, data transformation, and optimization of ETL load performance. Provide production more »

such as: Scikit-Learn, TensorFlow, Torch, ChatGPT, Llama, LangChain (or equivalent), RAG, Model Security, Jupyter Notebook/JupyterLab, Unit Testing, Integration Testing, E2E Testing, ETL/ELT, Python Virtual Environment, Containerization with Docker/Podman, GitLab, Azure DevOps, Kubernetes, Azure Load Balancer, Communication Standards, Communication Security, Non-functional KPIs (performance more »

designing end user reports Strong management and leadership skills Experience and understanding of data architecture and infrastructure to include data pipelines, data warehousing and ETL Knowledge in supporting regulatory reporting and experience of data governance. If you are interested in the Business Intelligence Manager opportunity, please apply by Friday 31st more »

designing end user reports Strong management and leadership skills Experience and understanding of data architecture and infrastructure to include data pipelines, data warehousing and ETL Knowledge in supporting regulatory reporting and experience of data governance. If you are interested in the Business Intelligence Manager opportunity, please apply by Friday 31st more »

in delivering complex solutions for Enterprise level Clients. As well as maintaining robust and scalable applications in Scala, you will be able to implement ETL pipelines to process, transform, and standardize data from various sources as well as optimise the performance of Spark applications. Work closely with data scientists, software more »

specialist training or experience in an appropriate field. Knowledge of data, its use and application within NHS or other complex organisation Demonstrable experience in ETL processes and developing data shares. Stakeholder management and negotiation leading to securing digital and data assets for counter fraud purposes. Recent and ongoing continuous professional more »

specialist training or experience in an appropriate field. Knowledge of data, its use and application within NHS or other complex organisation Demonstrable experience in ETL processes and developing data shares. Stakeholder management and negotiation leading to securing digital and data assets for counter fraud purposes. Recent and ongoing continuous professional more »

in line with defined development standards. Ideally you will have advanced working knowledge of Microsoft reporting stack, understanding of data warehouse concepts, structures and ETL processes. Lastly an individual with a strong technical skill within Power BI and TSQL within a Business Intelligence Environment. Also SSIS and SSRS would be more »

with BI tools such as Tableau, Power BI, QlikView, or Looker. Strong experience with SQL and database management. Familiarity with data warehousing concepts and ETL processes.. Analytical Skills: Excellent problem-solving skills and attention to detail. Ability to interpret complex data sets and translate them into actionable insights. Strong statistical more »

client site. Preferred skills: Experience with Azure and Databricks Proficiency in SQL and/or similar data technologies Familiarity with data pipeline tools and ETL processes Knowledge of cloud platforms and data architecture Experience working in the Retail Banking sector or financial services would be highly beneficial. This is a more »

a 50/50 split between BI reporting/analysis and data ingestion, and would suit someone with a couple years experience across Python , ETL, AWS and any BI tool (PowerBI, Tableau, Qlik, QuickSight, or GoodData - it's more about the transferable skills!). This is an ideal role for more »

provide data and analytics solutions. As a Data Analyst you will be responsible for: Data Engineering – assisting with the design, development and implementation of ETL User Experience Analysis – understanding the data and identifying user experience requirements and designing goals Business Intelligence – assisting in the development, production and delivery of data more »

financial services. Strong leadership skills with a track record of successfully managing and developing high-performing teams. In-depth knowledge of data engineering concepts, ETL processes, and data warehouse architectures. Expertise in working with big data technologies and cloud platforms (preferably AWS or Azure). Familiarity with asset management industry more »

solutions and presenting ideas. Some light line management and mentoring of junior data engineers. Working on a variety of projects including building out infrastructure, ETL work, architecture design, advancing and maintaining warehouses, etc. YOUR SKILLS AND EXPERIENCE High levels of proficiency in Azure Cloud. Strong capabilities with Python, Snowflake, and more »

Support the development team in resolving issues by using data gathered from various sources Designing, developing, and maintaining scalable and reliable data pipelines and ETL processes Building and managing data monitoring tools to ensure data quality and system performance Proactively shaping your role and driving real change for the company more »

information technology, or a related field. Proven experience with Insurance Broking Systems data migration (ideally Acturis). Proficiency in SQL and SSIS. Experience with ETL tools. Strong analytical and critical thinking skills, with a focus on practical solutions. Excellent communication and people skills for conveying data concepts to diverse audiences. more »

a new Data Lakehouse, and implementation of an iPaaS solution. As the Data Engineer, you will bring extensive commercial experience in working with sizeable ETL processes/pipelines, AWS serverless technology and Python. In addition to strong technical skills, effective communication and ability to engage with non technical users will more »

Azure technologies Financial Services domain knowledge Do you tick these 4 boxes? Must haves: Python coding experience (Pure Python) Data modelling, data warehousing and ETL frameworks SQL Our client have 2,500 lines of Python code for you to maintain and optimize. You'll need hands-on coding for this more »