1 to 25 of 46 Informatica Jobs in the UK excluding London

Synapse, Azure Data lake and Azure Monitor providing added flexibility for diverse migration and integration projects. Prior experience with tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom scripting languages (Python, PySpark, SQL) for data extraction and transformation. Prior experience with Data warehousing and Data modelling (Star Schema More ❯

the governance activities associated with ensuring solutions architecture assurance and compliance. Technical Experience in data governance and data quality tools in an enterprise (Collibra, Informatica, etc) Awareness of Azure and AWS cloud data toolsets. Experienced in providing cloud data patterns for Azure and AWS. Strong knowledge of data governance More ❯

Key Responsibilities: Design and develop conceptual, logical, and physical data models for data lakes and data warehouses. Lead data integration processes using tools like Informatica, SSIS, MuleSoft, DataStage, and Sqoop. Produce functional and technical documentation, including architecture documents, data dictionaries, and testing plans. Collaborate with business users to understand More ❯

A stack, Databricks, and Azure Open AI. Proficiency in coding (Python, PL/SQL, Shell Script), relational and non-relational databases, ETL tools like Informatica, and scalable data platforms. Experience with Azure Data and Analytics stack; familiarity with AWS and GCP data solutions. Knowledge of deploying AI solutions in More ❯

Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field Languages & Tools: Python, SQL, APIs, Tableau/Power BI, Talend/Informatica, AWS Databases: MSSQL, PostgreSQL, MySQL, NoSQL Cloud: AWS (preferred), with working knowledge of cloud-based data solutions Nice to Have: Experience with graph databases More ❯

Databricks and Azure Open AI solution. Proficiency in coding (Python, PL/SQL, Shell Script) relational and non-relational databases, ETL tooling (such as Informatica), scalable data platforms. Proficiency in Azure Data and Analytics stack; working knowledge on AWS and GCP data solutions. Good understanding of deploying AI solutions More ❯

a management consulting or advisory role focused on data strategy, governance, or architecture. Deep knowledge of enterprise data management concepts and tools (e.g., Collibra, Informatica, Alation). Familiarity with leading data frameworks including DAMA, DCAM, and CMMI. Strong commercial acumen and the ability to translate business objectives into actionable More ❯

Job Title: Data Warehouse Manager Location: Dudley, West Midlands - Hybrid Working (ideally 2 days a week onsite, rest remote) Job Type: Full time, Permanent Salary: £70k - £90K Base Per Annum DOE, Plus Standard Company Benefits (Pension etc) Our leading, Midlands More ❯

Lake, Cosmos DB - Kafka, Event Hub, IoT Hub, ADX - Data governance & security (RBAC, encryption, Zero Trust) - DevOps & IaC: Terraform, Bicep, Azure DevOps - MDM (Profisee, Informatica), unstructured data - Data modelling, mapping, quality, profiling - HADR, AI/ML integration, cost management Desirable: - Utilities experience (SCADA, SAP PM, GIS) - Governance tools (Collibra More ❯

A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik or similar are also useful and you will be tech curious, keen and open-minded to learning new skills. Experience in Oracle OBIEE More ❯

experience with IBM Cognos, Power BI and Qlik Cloud platform experience – either AWS or Azure Knowledge or experience supporting and administering SAS Analytics and Informatica Experience mentoring and supporting junior colleagues SQL experience Benefits Salary up to £66,000 + 20% bonus Hybrid working: Two days a week in More ❯

reporting tools like SSRS, Power BI, SSAS, MS SQL Server, and PostgreSQL . Proficiency in data modelling , data frameworks , and ETL tools such as Informatica and SSIS . Experience designing and building regulatory reporting systems —financial services background highly desirable. Familiarity with Agile Scrum delivery and leading agile teams More ❯

Jira Software). SQL Server Database Databricks (or Alternative Modern Data Platform such as Snowflake) Knowledge of Orchestration Tools and processes (e.g SSIS , ODI, Informatica, Data Factory) Power BI Development including the data model, DAX, and visualisations If you are interested in this Data anlyst role, please reply with More ❯

data-driven decisions Skills & Experience We're Looking For Expertise in ETL/ELT processes using industry-standard tools, such as SAP Data Services, Informatica (IPS/Cloud) , ensuring efficient data integration and transformation. Extensive knowledge and experience in Oracle SQL/PLSQL, enabling effective data manipulation and query More ❯

experience with administering Qlik - Replicate, Compose & Enterprise Manager. To be successful, you must demonstrate: Experience supporting and administering SAS Analytics Experience administering and configuring Informatica Knowledge of SSIS, AWS Redshift, AWS concepts & practices, Agile methodologies, ServiceNow, and Jira Knowledge of SQL Server databases, supporting applications within AWS and Azure More ❯

Skills: Cloud: Microsoft Azure Data Tools: Databricks, Data Factory, Dataflow, Azure SQL, Synapse Languages: SQL, Python Nice to Have: MARTech: MS Dynamics 365, SFMC, Informatica MDM, One Trust App Dev: .NET C#, Azure App Services, API Management Learning-Friendly: CI/CD tools like Azure DevOps, GitHub Actions More ❯

Java and SQL for reporting applications Proficient with Spring Boot and Spring Batch development Strong knowledge of data frameworks, modelling, database design, ETL technologies, Informatica ETL, SSIS, and APIs Experience with reporting tech stack (MS SQL Server, SSRS, Power BI, SSAS, PostgreSQL) Experience managing development teams and agile delivery More ❯

development experience within ETL/data warehousing environments. Experience with Oracle Data Integrator (ODI) in an AWS S3/Redshift setting or equivalent tools (Informatica, SSIS). Solid SQL development and performance tuning capabilities. Exposure to web APIs and Python (desirable). Understanding of dimensional modelling (Kimball methodology). More ❯

development experience within ETL/data warehousing environments. Experience with Oracle Data Integrator (ODI) in an AWS S3/Redshift setting or equivalent tools (Informatica, SSIS). Solid SQL development and performance tuning capabilities. Exposure to web APIs and Python (desirable). Understanding of dimensional modelling (Kimball methodology). More ❯

development experience within ETL/data warehousing environments. Experience with Oracle Data Integrator (ODI) in an AWS S3/Redshift setting or equivalent tools (Informatica, SSIS). Solid SQL development and performance tuning capabilities. Exposure to web APIs and Python (desirable). Understanding of dimensional modelling (Kimball methodology). More ❯

ideally projects from scratch Oracle Databases and hopefully experience of ODI (Oracle Data Integrator) (Can be learnt in role) Experience in AWS, perhaps some Informatica/SSIS Amazon Redshift - this can be learnt if not used as yet Perhaps exposure to S3 Experience in Data Integration, APIs and Storage More ❯

Test Methodologies, Test Strategy and Approach, and Testing Types from a design and execution perspective. Good architectural knowledge around App servers (Tomcat), DB Servers (Informatica, SQL, Oracle), and Middleware (Mulesoft). Ability to proactively identify key operational requirements and detail needed for OAT design and execution. Skills to identify More ❯

curve with Salesforce best practices and industry trends. Tech Stack: Salesforce Platform: Apex, Visualforce, Lightning Web Components Integration Tools: REST/SOAP APIs, MuleSoft, Informatica Data Management: SQL, SOQL, SOSL Version Control: Git, Bitbucket CI/CD: Jenkins, Salesforce DX Other Technologies: JavaScript, HTML, CSS Qualifications: MUST have proven More ❯

workflows and reduce manual interventions. Must have: AWS, ETL, EMR, GLUE, Spark/Scala, Java, Python. Good to have: Cloudera - Spark, Hive, Impala, HDFS, Informatica PowerCenter, Informatica DQ/DG, Snowflake Erwin. Qualifications: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. More ❯

You have: Computer information systems or related field of study– Sound knowledge of technologies such as [MS SQL Server, Oracle DB, C#, Java, ETL (Informatica), Tableau, HTML5, Java Script] a passion for learning and leveraging new tech when appropriate to the problem space a team player who is energetic More ❯