51 to 75 of 175 Permanent ETL Jobs in England with Remote Work Options

governance concepts, practices, and frameworks. Strong technical skills in data modelling, metadata management, and data lineage. Datawarehouse design and implementation Experience with SQL Server ETL processes A good knowledge of Power BI reporting Desirable Skills Nexthink Software SNOW Software JAMF Software Accreditations Microsoft Data Analyst Microsoft Data Engineer more »

role * Experience working with Azure Technologies - Azure Data Factory, Synapse, Data Lake, Data Bricks * Experience working with SQL and Python * Experience designing and implementing ETL solutions This is a unique opportunity for a data engineer to join an outstanding organisation who will encourage and support you in achieving your career more »

and Sell additional annual leave Funded Learning and development programmes The Successful Data Engineer will have: Experience in developing and designing data pipelines and ETL processes Previous experience of data warehousing Utilise SAS for data reporting and analysis Skilled in SQL, Python, Git and Databricks In depth experience of reporting more »

BI Developers Senior stakeholder management – provide solutions and recommendations to support the decision-making process Work with management to develop the reporting system Develop ETL processes using Kimball methodology Key skills Microsoft Azure, Synapse, Data lake SQL PowerBI Proven experience of leading a team What’s on Offer Up to more »

Relational database design skills Strong MS Excel skills Powerapps/Microsoft Power Platform, Power Automate, Azure data studio Be able to manage a coins ETL that feeds into SQL Desirable but not essential: Coins Salary and Benefits: Salary competitive dependent on current experience level Excellent working environment and culture within more »

in database administration, data engineering, and team leadership. Proficiency with Azure, SQL Server, and familiarity with other database technologies. Strong understanding of data modelling, ETL processes, and version control systems. Knowledge of project management methodologies and development methodologies like Agile or Scrum. Experience with data governance, security controls, and regulatory more »

Strong stakeholder management & communication skills Experience of working with structured and unstructured datasets Able to design a range of architectural solutions Data models and ETL Data lake and data warehouse end to end architecture Experience within media, publishing, research, or a similar consumer focused industry is highly desirable, but not more »

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 »

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 »

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 »

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 »

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 »

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 »

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 »

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 »

client are seeking a Data Engineer to own the design and implementation of data solutions, with previous expertise in data extraction, transformation, and loading (ETL) processes from a variety of sources, including websites, PDFs, and real-time data streams. Being a Data Engineer at a truly tech driven fintech, you 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 »

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 »

experience within a similar role, experience within the healthcare industry would be advantageous Proven working knowledge of the following: Databricks, Python, Power BI, TSQL, ETL, Agile methodologies and Refactoring Great communication skills, comfortable presenting yourself and information in presentations and/or meetings Company Benefits: In addition to joining a 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 »

least 2 years in a managerial role. Strong understanding of software development methodologies, tools, and frameworks. Proven experience in data engineering, including data warehousing, ETL processes, data analysis and data science. Excellent leadership and team-building skills, with a track record of developing and mentoring talent. Strong project management skills more »