1 to 25 of 41 Informatica Jobs in England

sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams

large or regulated organisations. Strong understanding of data governance, data management, and metadata practises. Hands-on experience with data quality tooling (e.g., Microsoft Purview, Informatica, Collibra, Talend). Familiarity with cloud-based data architectures (Azure, Databricks, Power BI). Strong analytical and problem-solving skills, with experience in designing

large or regulated organisations. Strong understanding of data governance, data management, and metadata practises. Hands-on experience with data quality tooling (e.g., Microsoft Purview, Informatica, Collibra, Talend). Familiarity with cloud-based data architectures (Azure, Databricks, Power BI). Strong analytical and problem-solving skills, with experience in designing

Infrastructure Data & AI CoE and Data Governance Teams Business Domains: Commercial, Supply Chain, Enabling Functions (Finance, HR, Legal, etc.) Vendors: Microsoft, Databricks, SAP, Salesforce, Informatica, Collibra Skills and expeirence: Essential Proven experience designing enterprise-scale data and analytics solutions across hybrid cloud environments. Strong understanding of data modelling, data

Infrastructure Data & AI CoE and Data Governance Teams Business Domains: Commercial, Supply Chain, Enabling Functions (Finance, HR, Legal, etc.) Vendors: Microsoft, Databricks, SAP, Salesforce, Informatica, Collibra Skills and expeirence: Essential Proven experience designing enterprise-scale data and analytics solutions across hybrid cloud environments. Strong understanding of data modelling, data

Understanding of how data feeds into Power BI and analytics platforms Desirable: GCP exposure (to support migration) iPaaS platforms such as Boomi, MuleSoft, or Informatica Multi-site sector experience (healthcare, retail, hospitality, etc.) Package & Working Pattern Salary: £70,000 to £80,000 doe (flexible for standout candidates) Hybrid working

Data Lake, Synapse). Programming & Scripting:Proficiency in Python, SQL, PySpark etc. ETL/ELT & Streaming:Expertise in technologies like Apache Airflow, Glue, Kafka, Informatica, EventBridge etc. Industrial Data Integration:Familiarity with OT data schema originating from OSIsoft PI, SCADA, MES, and Historian systems. Information Modeling:Experience in defining

Expertise in Pentaho Data Integration for ETL processes. Strong understanding of data warehousing concepts, data modelling, and schema design. Experience with other ETL tools (Informatica, Talend, SSIS) is a plus. Advanced SQL for querying and data manipulation. Familiarity with Java, Python, or VBA for scripting and automation. Knowledge

BPMN, Groovy, Java, REST APIs Solid SQL skills and experience with major databases (Oracle, PostgreSQL, DB2, BigQuery) Experience with ETL/ELT tools (e.g., Informatica, DataStage) and BI tools (Qlik, Power BI) Good understanding of metadata standards, lineage, reference data and business glossaries Exposure to cloud environments

Server or Snowflake skills. Advanced knowledge of low-code/no-code data engineering/ETL tools - ideally Markit EDM (v19.2+) or similar (e.g. Informatica). Proven delivery experience in Financial Services/Banking sector. Deep understanding of SDLC, systems integration, and data warehousing. Ability to gather requirements

Server or Snowflake skills. Advanced knowledge of low-code/no-code data engineering/ETL tools - ideally Markit EDM (v19.2+) or similar (e.g. Informatica). Proven delivery experience in Financial Services/Banking sector. Deep understanding of SDLC, systems integration, and data warehousing. Ability to gather requirements

Server, Oracle, MySQL, and NoSQL to AWS cloud. Strong knowledge of ETL processes is essential, including experience with tools such as Talend, Informatica, Matillion, Pentaho, MuleSoft, Boomi, or scripting languages like Python, PySpark, and SQL. A solid understanding of data warehousing and modelling techniques, including Star and Snowflake schemas

data quality Basic knowledge of Agile project management methodology and artefact style such as user stories Skilled in data analysis tools such as Informatica Analyst, Alteryx Designer, Python, R, Microsoft Excel VBA, SQL Basic skill in using reporting tools such as Cognos Query Studio, Power BI and Tableau Strong

Support metadata management, lineage tracking, and compliance initiatives. Skills & Experience Required: Hands-on experience with more than one MDM technology/platform (e.g., Riversand, Informatica MDM, Semarchy, TIBCO EBX, Reltio). Excellent communication and stakeholder management skills. Experience in multi-domain MDM (Customer, Supplier, Location, etc.) is a strong

Support metadata management, lineage tracking, and compliance initiatives. Skills & Experience Required: Hands-on experience with more than one MDM technology/platform (e.g., Riversand, Informatica MDM, Semarchy, TIBCO EBX, Reltio). Excellent communication and stakeholder management skills. Experience in multi-domain MDM (Customer, Supplier, Location, etc.) is a strong

Secondary Domains) ensuring alignment with business needs and data governance standards. Hands-on experience with more than one MDM technology/platform (e.g., Riversand, Informatica MDM, Semarchy, TIBCO EBX, Reltio) is a must . Lead the data modeling efforts for Product entities including Item, Variant, Product Hierarchy, Pricing, Attributes

Focus of the role: Support the implementation of the data governance strategy and policy Technical stack: Power BI, Tableau and SharePoint, Collibra, Informatica, SQL, Python, R and Data Engineering Requirements: understanding of party data & other domain data sets such as Human Resources, ESG/Sustainability, General Affairs & Public Relations.

Focus of the role: Support the implementation of the data governance strategy and policy Technical stack: Power BI, Tableau and SharePoint, Collibra, Informatica, SQL, Python, R and Data Engineering Requirements: understanding of party data & other domain data sets such as Human Resources, ESG/Sustainability, General Affairs & Public Relations.

Strong understanding of ETL, APIs and modern cloud data ecosystems SQL and Python expertise (automation experience strongly valued) Knowledge of data quality tooling (e.g. Informatica) Understanding of data architecture, governance frameworks and lifecycle management Experience working within regulatory or data-risk environments is highly advantageous What They're Looking

Specialist (Purview) Essential Experience: Proven experience in data management/governance , ideally within Financial Services . Hands-on experience with tools like Purview , Collibra, Informatica, or Alation. Strong SQL skills and familiarity with Azure , Microsoft Fabric , or other cloud platforms. Knowledge of UK GDPR, Data Protection

Expertise in Pentaho Data Integration for ETL processes. Strong understanding of data warehousing concepts, data modelling, and schema design. Experience with other ETL tools (Informatica, Talend, SSIS) is a plus. Advanced SQL for querying and data manipulation. Familiarity with Java, Python, or VBA for scripting and automation click apply

teams. Understanding of regulatory expectations in financial services or insurance (helpful but not essential). Nice to have Experience with MDM tools (e.g. Profisee, Informatica, Reltio). Familiarity with data catalogue platforms (e.g. Collibra, Alation, Purview). Knowledge of insurance or financial services datasets.

governance, and security best practices. Technical expertise in web, service-based, and cloud architectures. Knowledge of databases (MS SQL, Oracle) and ETL tools (eg, Informatica). Proven track record of delivering solutions with measurable business outcomes. Ability to coach, mentor, and influence technical teams. For a full consultation

including Databricks, Data Lake, Data Factory Excellent experience with SQL data analysis Understanding of financial services regulations and requirements MDM tooling experience e.g. Profisee, Informatica, Microsoft MDS etc. (preferable) Experience with Collibra, Purview or Alation (preferable) In line with the Conduct Regulations 2003, when advertising permanent vacancies JNC Recruitment

experience with ETL, APIs and modern cloud data platforms Skilled in SQL and Python (automation a strong advantage) Knowledge of data quality tools (e.g. Informatica) Understanding of data governance frameworks, lifecycle management and architecture Experience working in regulated environments or data-risk heavy settings is a big plus WHAT