1 to 25 of 68 ETL Jobs in the North of England

data solutions (including Snowflake and AWS Aurora). Work with Data Ingestion Specialist and Enterprise Architecture teams to develop implement robust data pipelines and ETL processes to streamline data ingestion and transformation. Support Manager and HoD with delivery of D2C data roadmap and embedding a data-driven mindset in the more »

cleaning data and information. To undertake development of the data warehouse, including overall design, technical development and documentation of the data warehouse, infrastructure and ETL solutions covering multiple sources of data, working alongside NHSCFA specialists. Write ETL (extract, transform, load) scripts and code to ensure the ETL process performs optimally. … formats. oJSON, SQL, and XML oWriting robust data pipeline code that can run unattended. oMachine learning for engineering practices, such as meta driven intelligent ETL and pipeline processes. oStrong skills in relevant programming languages, frameworks, and platforms including, SQL, Python, R, etc. oA strong track record of achievement in data more »

Engineer Immediate Responsibilities Managing and delivering end to end BI reporting projects from initial brief/requirement gathering to data pipeline development (APIs/ETL/ELT/SQL) to visualization Undertaking ad hoc BI tasks based on business requirements and priorities As part of the BI team you will more »

within the healthcare sector, with a focus on NHS data systems Proven track record of designing, developing, and maintaining large-scale data pipelines and ETL processes Familiarity with healthcare data standards and compliance regulations Significant experience of extracting data, manipulating, understanding, transforming, wrangling and cleaning NHS datasets Experience with ICD more »

our data systems. Champion data quality principles and best practices throughout the organization. Required Skills and Experience: Advanced proficiency MS SQL Extensive experience with ETL/ELT techniques, data warehouse design, and data visualisation. Strong command of Microsoft tools such as Fabric, Azure Blob Storage, Data Factory, Purview, and Power more »

Azure DevOps, Visual Studio, Tabular Editor Understanding of Microsoft Dynamics, Business Central would be beneficial Solid understanding and experience of database management systems and ETL Framework Experience in leading/motivating teams to deliver meaningful change and drive their professional development. Experience managing and building relationships with internal and external more »

with key stakeholders across the business to understand how data can be used to improve business performance - Develop and create the data sets, repositories, extract/transform/load routines and validation mechanisms - Establish the integration with all databases and software systems - currently in place is Netsuite as the ERP more »

levers, and lead metrics for performance improvement. Develop and create the data sets needed for BI and analytics including, where needed, the data repositories, Extract/Transform/Load routines and validation mechanisms needed to underpin reporting and analysis. Establish the integration with other databases and systems in conjunction with more »

platform in AWS. Utilise Agile methodologies to manage the development lifecycle. Design and implement data pipelines, ensuring data quality and integrity. Requirements: Proficiency in ETL tools such as SQL, SSIS, AWS, Lambda, and Python. Strong understanding of data warehouse concepts. Excellent problem-solving and communication skills. Benefits: Competitive salary and more »

cloud computing 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 practices for 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 »

part of a large-scale project to develop a new Data Warehouse. Responsibilities include: Being an SME in designing & building the Data Warehouse Customising ETL procedures, data mappings, and transformations to coordinate data integration Documenting solutions, tools and processes Implementing validation procedures to ensure high quality of data Collaboration with more »

Strong network and firewall knowledge Strong Information Security and IT security/Cyber controls Deep experience/understanding of all elements of data engineering (extract/transform/load), visualisation, analytics, and machine learning Designing, deploying, maintaining, and developing data systems and controls. Benefits This is a fantastic opportunity for more »

Strong network and firewall knowledge Strong Information Security and IT security/Cyber controls Deep experience/understanding of all elements of data engineering (extract/transform/load), visualization, analytics, and machine learning Designing, deploying, maintaining, and developing data systems and controls. Benefits This is a fantastic opportunity for 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 »

Strong relationship building skills. Ability to take ownership of complex projects and see them through to completion. Essential: Experience with developing and troubleshooting complex ETL processes. significant experience in an agile, technical environment. Strong experience using Python and SQL for predictive analytics. Advanced knowledge of reporting tools such as Power more »

communication skills and ability to work effectively in a remote setting. Nice to Haves: + Experience with SQL Server Integration Services (SSIS) or similar ETL tools. + Understanding of Authentication via SSO + Experience with Infrastructure as Code (Azure ARM/Bicep) What’s on Offer: + A fully remote 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 »

and data security standards. Expertise in designing and implementing data platforms, data lakes, data warehouses, and self-service analytics solutions. Proficiency in data modelling, ETL processes, data integration, and data visualisation tools. Previous Cloud Migration experience essential (either Synapse, BigQuery, Redshift) Expert level experience working with Azure and or Certified more »

with determination and drive required to implement, manage and deliver change. Knowledge Skills Experience Essential Extensive knowledge and experience working with SQL Knowledge of ETL processes and business process automation. Knowledge of Microsoft Office products, in particular, Access and Excel. Data analytical, evaluation and system development skills. Knowledge and experience more »

to get new team members certified and help develop their data skills Key Responsibilities: Assist in gathering and analyzing business requirements. Develop and maintain ETL processes to ensure data integrity. Design and implement data models to support reporting and analytics. Create intuitive dashboards and visualizations to communicate key insights. Conduct more »

departments from e-commerce and customer analytics, through to manufacturing and forecasting. What you'll need: Experience of providing insight analytics Data Warehouse and ETL experience Ability to speak to stakeholders up to C-suite. Visualisation experience (Looker, Qlik, or Power BI) Data Pipeline experience (Python, BigQuery, or SQL) What more »

whilst following good practices (such as normalisation) Excellent knowledge of the SQL Database Engine Strong T-SQL knowledge Strong experience using SSIS for diverse ETL processes (import/export data through files, emails, SFTP, APIs etc) Excellent performance tuning skills (experience of Query Tuning, Index Optimisation, Locking etc.) Experience with more »

big data technologies such as Hadoop and Spark. Experience with data warehousing technologies such as Redshift, Snowflake, or BigQuery. Experience with data pipeline and ETL tools such as Apache NiFi, Airflow, or Glue. Knowledge of data governance and security best practices. Strong problem-solving and analytical skills. Ability to work more »

Document source-to-target mappings. Re-engineer manual data flows to enable scaling and repeatable use. Support the build of data streaming systems. Write ETL/ELT scripts and code to make sure the process performs optimally. Develop data models to support self-service business intelligence reporting that can be more »