1 to 25 of 62 ETL Jobs in the North of England

is essential and the role is 2-3 days a week in the Liverpool office - rest remote**** Senior Data Engineer, Data, Data Modelling, Migration, ETL, ETL Tooling (Informatica IICS & IDMC ) SQL, Python or Pyspark, Agile, migrating data from on-prem to cloud. **** Informatica Cloud (IICS & IDMC ) is essential - NOT PowerCenter … data. Essential/core experience required: 10+ years of experience and in-depth knowledge of data delivery and associated architecture principles, data modelling concepts, ETL procedures, and all steps of data production process Prior experience in insurance and/or reinsurance in support of specialty lines is a plus. Extensive … hands on experience in SQL, Python, Data Integration/Ingestion and associated patterns - ETL tooling – Informatica IICS, Warehousing technologies and associated patterns, Cloud platforms – Azure preferred. Experience with on-prem and cloud versions of databases such as Oracle and SQL Server. Professional certifications in public cloud and tooling – Informatica and 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 »

Business Intelligence/Analytics (Power BI). They will have experience with Microsoft BI stack, relational database and SQL experience alongside experience working with ETL and/or data integration tools (preferably Informatica). Experience working in an agile environment (preferably with Azure DevOps) is also essential. Experience within the more »

Requirements Bachelor’s degree in Computer Science, a relevant technical field, or equivalent experience. Experience designing cloud data warehouse solutions, data modelling, and building ETL/ELT processes, preferably on GCP or equivalent platforms (AWS, Azure, Snowflake). Proficiency with SQL, Python, Docker, and Terraform (or similar IaC tools). more »

Experience Essential Significant experience of strategic planning to support wider organisational objectives In-depth knowledge of BI tools and technologies, such as data warehousing, ETL (Extract, Transform, Load), and analytics platforms. Proficiency in SQL (Structured Query Language) and other data querying languages Excellent problem-solving and analytical skills, with the … ability to extract meaningful insights from complex datasets. Familiarity with data governance and data quality best practices. Strong project management skills, with the ability to prioritise tasks and deliver projects within specified timelines Significant experience working a senior level in a large and complex organisation Experience of leading innovative approaches more »

of proven professional experience in Business Intelligence, Analytics or any other relevant technical field, preferably using Power BI Knowledge of data modelling, OLAP and ETL frameworks Strong relational database and SQL experience (Microsoft SQL Server, T-SQL) Experience with data visualization tools (Tableau, Power BI or Qlik) Experience of working more »

and scalability. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. Extensive experience in designing and implementing data pipelines, ETL processes, and data warehousing solutions. Proficiency in cloud platforms such as Azure, with hands-on experience in data lakes, Databricks, and Synapse Analytics. Strong programming 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 »

/Developer to lead the transition of databases from SQL Server 2012 to SQL Server 2019. If you are passionate about data warehouse design, ETL methods, and Agile projects, we have the perfect opportunity for you to showcase your skills and contribute to our ongoing success. Our clients are a 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 »

venture into the world of MLOps/AIOps. Key experience desired/what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP services such as BigQuery, Dataflow, and Cloud Storage. If you have experience across AWS and Azure, we can train you up on 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 »

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 »

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 »

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 »

is on the lookout for · 3+ years of Data engineering · 3+ years of experience with SQL Development · Experience maintaining SQL Datawarehouse · Extensive experience with ETL/SSIS packages · Azure database experience · Dealings with ODBC connections to retrieve data. · Knowledge of best practices when dealing with relational databases · Capable of configuring 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 »

frameworks and industry standard models (e.g., DAMA) and architecture frameworks (e.g., TOGAF, Zachman) is desirable. Proven experience with data integration tools and technologies (e.g., ETL, APIs, middleware). Proficiency in CRM systems (e.g., Salesforce, Microsoft Dynamics) and their integration with data architectures. Comprehensive knowledge of data modelling, data design principles more »