76 to 100 of 448 ETL Jobs in England

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 »

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 »

appreciation for the big picture while delivering short/mid-term solutions Experience of building data warehouses, enterprise data warehouses or data lakes with ETL pipelines Experience with AWS tools including Glue, Lambda, S3, RDS, is preferred An understanding of CICD concepts including having a working knowledge of GitHub Understanding 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 »

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 »

concepts, including infrastructure as code, serverless computing, and containerization. Expertise in designing scalable and resilient architectures for data-intensive applications. Familiarity with data modeling, ETL processes, and data integration techniques. Proficiency in programming languages commonly used in cloud environments (e.g., Python, Java). Strong knowledge of security principles and best 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 »

processes. Develop, optimise, and maintain Power BI Reports, Apps and Dashboards in line with business requirements, supporting continuous improvement. Responsible for the management of ETL processes, including but not limited to, D365 F&O data exports, SQL data transformation and Power BI data model refreshes. Monitor all BI data processes 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 »

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 Guery 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 »

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 »

the organization. · Developing and implementing data models and algorithms to support data science and machine learning initiatives. TECHNICAL REQUIREMENTS · Proven track record leading complex ETL and Data Infrastructure projects, as well as designing and building data intensive applications and services. · Experience with data processing and distributed computing frameworks such as more »

the IT function and with system administrators to aid data availability through the SZC Data-lake, using API techniques through Azure Data Factory and ETL techniques through Databricks.Defining and setting development, test, release, update, and support processes for DevOps operationEnsuring quality and efficiency of data architecture within the SZC Data … functions and supply chain partners for license management and support.Implementation of power apps where data capture and interaction are required.Using data mining techniques to extract information from data sets and identify correlations and patterns monitoring data quality and removing corrupt data.Set and communicate team priorities that support the broader organization more »

Data Engineering experience? Strong knowledge of MS SQL Server on Azure? A background in the design, build, and maintenance of ADF data pipelines to extract, transform, and load (ETL) data from various sources into Data Warehouses? Exposure to Azure Synapse Analytics? Excellent communication skills? Would you like? Work for an more »

required to deliver new dashboards and reports Creating Solution Design documents for analytics solutions Documenting Architectural Decisions that are relevant for analytics solutions Designing Extract-Transform-Load processes Required Technical and Professional Expertise Development of complex PowerBI reports from requirements provided by a Product Owner; Data manipulation and extraction using more »

Marketing domains.Proven track record of delivering value through data products in a fast-paced, agile environment.Extensive knowledge of data principles, architecture/modeling, ingestion, ETL, visualisationExtensive knowledge of Azure based big data platform & exposure to other clouds such as GCP is desirable.Prior experience of successfully leading large-scale data initiatives 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 »

with excellent analytical and problem-solving abilities Expertise using modern data tools (SQL, Python) Snowflake and AWS experience preferred. Good knowledge of Data Warehouses, ETL pipelines Good understanding of Cloud-based environments AWS and/or Azure Good appreciation of the modern software development lifecycle, CI/CD Benefits for more »

libraries and frameworks for data processing, data analysis and data visualisation SQL and Timeseries databases cloud AWS services, such as S3, EC2, RDS etc ETL tools, such as Airflow Git, CI/CD, testing tools, supporting documentation and best practices best practice and tooling including TDD, BDD Domain and soft more »

to combine the latest thinking with traditional military functions. *Must have Active SC Clearance* Role requirements Leveraging Azure cloud technologies for tasks such as ETL pipeline development, data warehousing, data lake creation, and data movement. Utilizing Azure data and analytics services, including but not limited to Azure Data Factory, Azure more »