151 to 175 of 399 ETL Jobs in England

the Defence & Security sector. Required Skills/Experience: British Passport Holder with active DV (Developed Vetting Clearance) End-to-end development 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 »

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 »

Servers as well as troubleshooting any issues on behalf of users. Requirements Extensive experience- SQL Server 2012/2014/2016 databases and SSIS (ETL) SQL Server BI Stack – Specifically SSRS Stakeholder Management and influencing skills Working knowledge of at least one BI Reporting Tool (e.g. Tableau, Qlikview etc.) Advanced more »

from multiple sources. Advanced skills in Excel as well as any data visualization tools like Amazon Quicksight, Tableau, or similar BI tools. Experienced in ETL, data modeling and big data tools. Preferred qualifications Engineering experience. People management experience, managing business intelligence engineers. Experience in designing and delivering cross functional custom 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 »

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 »

to the Data Scientist. Focus on collecting and preparing data for use by Data Scientists and analysts. Solve challenging data integration problems, utilising optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources. Support the design, build, and launch collections of sophisticated data models and visualisations that … with programming languages such as Python, R or Java and with data analysis libraries (e.g. Pandas, NumPy, scikit-learn). Understanding of database technologies (ETL) and SQL proficiency for data manipulation, data mining and querying. Knowledge of Big Data Tools (Spark or Hadoop a plus). Power BI, Dashboard design more »

and development, data mining, and segmentation techniques. Extensive familiarity with reporting packages (e.g., Business Objects), databases (e.g., SQL), programming languages (e.g., XML, JavaScript, or ETL frameworks). Knowledge of statistics and proficiency in statistical packages for analysing large datasets (e.g., Excel, SPSS, SAS). Strong analytical skills, capable of collecting 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 »

the team to assist in the design and implemententation of scalable data pipelines . You will have expertise in database management , data modelling and ETL including Microsoft SQL and SSIS . You will also have demonstrable Snowflake experience. Some Matillion knowledge will also be advantageous. This role will require the 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 »

in this role: Qualification in Computer Science or similar Experience working with SQL, PowerBI and Azure Data Factory Experience of data warehousing concepts and ETL processes At least 2-3 years experience within a BI/Data Analyst or similar role To discuss this exciting opportunity in more detail, please 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 »

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 »

up with your own solution. You will be building dashboards in Python as well as be in charge of Transformation when it comes to ETL pipelines. Experience wise, you’ll need to be a SQL Server expert with strong architecture skills and also strong skills with Python, and DBT. The more »

Science, Engineering, or a related field. Strong Python development. Experience with Pandas is desirable. 3+ years of experience in data engineering. Experienced in building ETL data pipelines. Relational database experience w/PostgreSQL. Understanding of tech within our stack: AWS/Apache beam/Kafka. Experience with Object Orientated Programming more »

of similar technologies desirable (e.g., MySQL, Progress) . • Strong understanding and application of data modelling concepts, normalisation techniques, and database design principles. • Experience with ETL tools and processes (e.g., Informatica, Talend, SSIS, Azure Data Factory). • Experience with version control systems (GitHub, Bitbucket). • Knowledge of project management methodology, tools more »

Your Responsibilities in this Role will be: Taking ownership of designing and developing scalable data models and warehouses Create and maintain database objects, and ETL processes Optimize data ingestion and transformation processes Collaborate with stakeholders Ensure effective database optimization and security implementation Champion data quality and integrity Requirements: SQL Python more »

environments Excellent knowledge of data technology, data transformation tools, and data governance techniques Good understanding of Quality and Information Security principles Experience with Azure, ETL Tools such as ADF and Databricks Advanced Database and SQL skills, alng with SQL, Python, Pyspark, Spark SQL Strong understanding of data model design and more »

Skills: A degree in Computer Science, Engineering, or a related field, or equivalent experience. Proficiency in Python, MS SQL, Java, AWS, JavaScript. Experience with ETL processes, data warehousing, and automated testing. Ability to work in a self sufficient capacity. Strong problem-solving skills and a 'gets things done' mentality. Excellent more »