1 to 25 of 368 ETL Jobs in England

CPM and client offices within the UK is required. Essential skills: Advanced data handling & statistical analysis Designing process automation through scripting & parameterisation SQL & Python ETL tools e.g. Microsoft Data Factory or Alteryx Experience using Power BI, Excel, PowerPoint Excellent written & verbal communication Creating compelling presentation narrative Senior stakeholder engagement – internal more »

specifically including a strong thread of geospatial data manipulation projects throughout Experienced of data integration and solutions development, involving automating complex technical workflows, spatial ETL, spatial analytics, spatial data collection, validation, and management including data standards and metadata. Commercial awareness, ability to reach the key “so what” messages from analysis … in a way that people understand and can take tangible actions from Experienced using a range of analytical applications, BI & ETL tools (Tableau, Power BI etc.) Experienced with GIS software, for example QGIS, ESRI, MapInfo Some experience and knowledge of coding languages and scripting Experienced with databases, SQL, optimisation, the more »

in business development, with demonstrated success in sales and client relationship management in the consulting sector. Deep technical expertise in data architecture, data modeling, ETL processes, data visualization, and advanced analytics. Strong understanding of the broader data and analytics market, including trends, challenges, and opportunities. Excellent leadership and team management more »

and implementing Customer Data Platforms. Strong programming skills, with expertise in languages such as Python, Java, or Scala. In-depth knowledge of data management, ETL processes, and database technologies. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies. Excellent leadership and communication skills. Ability to collaborate effectively more »

i.e. pre filters and post filters would be beneficial. Optimising Node Performance - Node 18 Caching Methodologies and practical experience with Redis Handle databases and ETL's Unit-testing with Jest, Mocks Using Postgres with Prisma Develop Restful APIs with Swagger and Typescript Also in use - docker, git, github, jira, ci more »

of a team of engineers looking after and building a zero-down time low latency infrastructure Scaling and optimizing some of the most performant ETL pipelines on the planet. Conducting R&D for functional programming within the firm Building out a DevOps environment from scratch in a Software Engineering Capacity more »

Engineering function, and reporting to the Data Engineering Tech Lead, the Data Engineer will be working on planning, engineering and maintaining clients' data warehouses, ETL processes and other data pipelines. As Smart's client base grows we will be delivering data pipelines for each client who requires it. This is … of data pipeline solutions across multiple clients. The Smart Data Engineering team is accountable for: Maintenance of the UK Smart Data Warehouse and associated ETL routines Maintenance of the underlying data for BI reports and dashboards, used throughout the organisation Data engineering support when migrating large new clients onto Smart … of extracting data from REST APIs and manipulating/loading it into a database Working knowledge of Snowflake or Redshift data warehouses Experience with ETL/ELT processes and tools (preferably with Matillion and/or Apache Airflow) Hands-on experience with AWS (notably ECS and S3) Financial services experience more »

in decision-making and risk management. Design and implement innovative solutions, optimizing workflows and enhancing efficiency within the Equity domain. Leverage data analytics to extract meaningful insights, providing a competitive edge in portfolio management strategies. Ideally have a working knowledge of the front office, and equities as an asset class … Tech Stack: Python, Flask, SQL, Excel, UI (React/Angular), ETL Pipelines Please apply if you would like to work for a Tier 1 hedge fund, in a fast paced and dynamic team more »

Proficiency in handling and processing large datasets, ensuring data quality and accessibility, including expertise in vectorized datasets. Experience with Data Integration Tools: Proficiency in ETL/ELT tools and practices. Competency in deploying and managing AI solutions on AWS cloud infrastructure. Experience with containerization technologies like Docker. Understanding and application more »

liaising with end users-Defect Management, diagnosis and fix-Cognos performance management suite (Planning Analytics, Cognos Analytics etc)-Oracle Data Warehouse and Data Manager ETL tool-Design and implementation of live support processes-High level understanding of account and financial business processes (O2C or P2P or R2R etc)-Providing support more »

and AI. Data compliance standards and regulations like PII, GDPR, CCPA, etc. Hands-on experience in handling PII datasets and operationalising DSAR. Proficiency in ETL processes and governance. Appropriateness in employing data cleansing techniques and tools. Possess articulate communication skills, capable of crafting concise requirements, epics, and stories with clear more »

role. KEY RESPONSIBILITES Design, develop, and implement efficient and scalable data pipelines utilising Python and SQL. Develop, test, and deploy data processing workflows and ETL pipelines using containerised Azure applications. Collaborate with data scientists and data analysts to identify and solve complex data problems. Maintain and optimise databases and data more »

will have the following skills and experience: Expert with SQL and Azure Data Engineering Hands-on experience in designing and developing scripts for custom ETL processes and automation in Azure Data Factory, Azure Databricks, Azure Synapse, Python, Pyspark etc. Experience being customer-facing on numerous data focused projects with a more »

product management and business subject matter experts to translate business requirements into good database design. Work with internal and external resources to develop robust Extract/Transform/Load (ETL) processes for disparate data sources. Strong knowledge of setting up and maintaining synapse pipelines within Azure. Good knowledge of acquiring more »

governance model on the data architecture through training, design reviews, code reviews, and progress reviews. Work with internal and external resources to develop robust Extract/Transform/Load (ETL) processes for disparate data sources. Collaborate harmoniously with Technical Architecture team members to ensure alignment of architectural standards across technical more »

requirements into technical requirements & development experience using data discovery tools such as MS Power BI, QlikView, Tableau Ability to model and transform data, build ETL solutions and present data in a useful business context Experience developing data warehouses & data marts using the Kimball methodology Experience or awareness of Big Data more »

candidates with the following skills and experience: Expert with SQL and Azure Data Engineering Hands-on experience in designing and developing scripts for custom ETL processes and automation in Azure Data Factory, Azure Databricks, Azure Synapse, Python, Pyspark etc. Experience being customer-facing on numerous data focused projects with a more »

a modern cloud based data stack further developing the estate. You'll work closely with data scientists deploying models, developing scalable data warehouses, designing ETL pipelines loading data into Snowflake and solving data engineering problems. You'll be impactful to ensure that the business get the most out of Snowflake. more »

CI/CD pipelines within Azure DevOps; Working experience of database development methodologies, including hands on experience with SQL; Working experience and automation of ETL processes and tools such as SSIS, ADF, Azure Synapse; Highly scalable data processing platform design and implementation experience; Understanding of Infrastructure as Code frameworks e.g. more »

and performance. Coding experience demonstrating modularity, reusability, and efficiency - across languages (Python, PySpark, Java, OR scala) End-to-end development experience with data pipelines, ETL processes, and workflow orchestration - using core concepts that apply across tech stacks. Working with diverse data sources and types - batch, streaming, real-time, and unstructured. more »

need of an experienced team lead from a technology background to manage development projects through the full project life cycle with specific focus on ETL/data store (data lake/warehouse) in an Amazon Web Services environment. A bit about the job: This is a great opportunity for the more »

base of 35,000 and transitioning to Oracle Cloud. Collaborating with a high-performing software development team, responsibilities include Java development, Oracle Database management, ETL implementation, live service optimisation, ODI utilisation, and Oracle BI Suite expertise. On-call support ensures seamless operations, making this role pivotal in driving project success. … skills, specifically with the current Oracle version. Oracle Database and PL/SQL: Deep understanding of Oracle Database and proficiency in PL/SQL. ETL Knowledge: Experience with ETL processes, especially with complex ERP systems. Live Service Optimization: Ability to optimize live services for performance. ODI Understanding: Familiarity with Oracle … and OAX/OBIA. Metis Live Service Familiarity: Understanding of Metis Live Service and analytics requirements. Team Collaboration: Ability to work with a Java ETL/Oracle SQL developer team. On-Call Support: Availability for on-call support to maintain and evolve ETL processes, including troubleshooting. For more information, please more »

by the data owners; - specification and oversight of developments for data conversions and reconciliation reports per object; - unit and complete load testing of the ETL process through performance of test data loads; - management of master data management and governance processes; - collaboration with our other workstreams across the program to deliver … Data migration - Specify system environment plan for trial/test loads Define data migration processes, templates, tools Design and develop data migration programs (Syniti ETL objects, migration cockpit) Defines overall data dependency by object and conversion critical path Liaise across Project Teams and Business Stakeholders Drive Trial/Go-Live more »

with data discovery across all stages – collection, cleaning, preparation, sharing and insights. Strong knowledge of and experience with MS Excel and pivot tables, SQL, ETL/ELTs and data analysis skills Knowledge of using Postman tool and API’s Prior experience with Data visualization e.g., Power BI, Looker, Domo Technical more »

be a real asset. You will need: Proven experience in SQL database development and data migration projects Experience of utilising Kingsway Soft or similar ETL tools Ability to convert technical information to a range of audiences Strong attention to detail, analytical thinking, problem solving and internal stakeholder management skills Salary more »