1 to 25 of 66 Informatica Jobs in England

from complex and disparate data 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 in a product or platform More ❯

Data Factory), Azure DB, Azure 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 or Snowflake Schema). Skilled More ❯

Snowflake or other cloud data warehouses. Proven experience building dashboards and reports in Power BI (DAX, Power Query). Hands-on experience with ETL/ELT tools (dbt, Matillion, Informatica, etc.). Familiarity with APIs and data integration from market data providers. Knowledge of financial data and systems (Bloomberg, SimCorp Dimension) preferred. Understanding of investment management workflows (portfolio management More ❯

Snowflake or other cloud data warehouses. Proven experience building dashboards and reports in Power BI (DAX, Power Query). Hands-on experience with ETL/ELT tools (dbt, Matillion, Informatica, etc.). Familiarity with APIs and data integration from market data providers. Knowledge of financial data and systems (Bloomberg, SimCorp Dimension) preferred. Understanding of investment management workflows (portfolio management More ❯

metadata standards, and platform-level risk management. Deep understanding of AI assurance, including model governance, algorithmic transparency, Technical experience with data and AI platforms: Snowflake, Databricks, Microsoft Purview, Collibra, Informatica, AWS, Azure, or similar. Proficiency with analytics tooling: SQL, Python, Alteryx, Tableau, Power BI, or other BI/ETL tools. More ❯

metadata standards, and platform-level risk management. Deep understanding of AI assurance, including model governance, algorithmic transparency, Technical experience with data and AI platforms: Snowflake, Databricks, Microsoft Purview, Collibra, Informatica, AWS, Azure, or similar. Proficiency with analytics tooling: SQL, Python, Alteryx, Tableau, Power BI, or other BI/ETL tools. More ❯

Proven experience leading data quality initiatives in 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 and implementing data quality KPIs and dashboards.Excellent More ❯

leading data quality initiatives in 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 and implementing data quality KPIs More ❯

Architecture Domains: Integration, Cybersecurity, Application, 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 integration, metadata management, and data More ❯

Architecture Domains: Integration, Cybersecurity, Application, 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 integration, metadata management, and data More ❯

Architecture Domains: Integration, Cybersecurity, Application, 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 integration, metadata management, and data More ❯

databases - SQL Server or Snowflake Advanced experience with low-code/no-code data engineering/ETL tool, preferably Markit EDM (v19.2 or above), however similar tools such as Informatica Power Centre may be acceptable Knowledge of the IT infrastructure (for example, hardware, databases, operating systems, local area networks) and the IT applications and service processes used within a More ❯

Redshift) and/or Azure (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 semantic layers, asset hierarchies, and More ❯

or Fabric being a bonus. Data Modelling – Build and optimise enterprise-grade data models across varied data layers. ETL/ELT Engineering – Use tooling such as Databricks, SSIS, ADF, Informatica, IBM DataStage to drive efficient data ingestion and transformation. Data Governance – Implement governance and MDM using tools like Unity Catalog, Profisee, Alation, DQ Pro . Client Advisory – Act as More ❯

or Fabric being a bonus. Data Modelling – Build and optimise enterprise-grade data models across varied data layers. ETL/ELT Engineering – Use tooling such as Databricks, SSIS, ADF, Informatica, IBM DataStage to drive efficient data ingestion and transformation. Data Governance – Implement governance and MDM using tools like Unity Catalog, Profisee, Alation, DQ Pro . Client Advisory – Act as More ❯

Glue, DataSync, Step Functions, Redshift, Athena, Lambda, RDS, EC2, S3 Data Lake, and CloudWatch. Strong knowledge of data extraction, transformation, and loading (ETL) processes, leveraging tools such as Talend, Informatica, Matillion, Pentaho, MuleSoft, Boomi, or scripting languages (Python, PySpark, SQL). Solid understanding of data warehousing and data modelling techniques (Star Schema, Snowflake Schema). Familiarity with security frameworks More ❯

best practice adoption. Skills & Experience Minimum of 8–9 years’ relevant development experience. Strong technical expertise with: MS SQL Server (T-SQL, stored procedures, functions) SSIS/ETL tools (Informatica preferred) Web APIs & SOA .NET Framework, .NET Core, ASP.NET, MVC ✅ Additional beneficial skills: SSAS/SSRS Tableau or Power BI C# development SharePoint Data modelling & real-time data integration More ❯

is a must have. Relevant data or AI qualification (e.g. CDMC, DAMA, DCAM, ISACA ) Hands-on experience with data and AI platforms such as Snowflake, Databricks, Microsoft Purview, Collibra, Informatica, or AWS Experience with data analytics tools such as Alteryx, Tableau, Power BI, SQL , etc. Two stage interview process to start ASAP. More ❯

and drive adoption across engineering and business units. 🧠 What You Bring Experience in Data Architecture, Engineering, or Metadata Management. Enterprise-scale experience implementing data catalog platforms ( data.world, Collibra, Alation, Informatica EDC, etc.). Hands-on expertise with data.world at scale. Deep understanding of metadata modeling, lineage capture , and data governance frameworks (GDPR, CCPA, HIPAA). Proficiency in APIs, RESTful More ❯

and drive adoption across engineering and business units. 🧠 What You Bring Experience in Data Architecture, Engineering, or Metadata Management. Enterprise-scale experience implementing data catalog platforms ( data.world, Collibra, Alation, Informatica EDC, etc.). Hands-on expertise with data.world at scale. Deep understanding of metadata modeling, lineage capture , and data governance frameworks (GDPR, CCPA, HIPAA). Proficiency in APIs, RESTful More ❯

skills in Python, Java, or Apache Beam Familiarity with IaC tools (Terraform, CloudFormation, ARM) Experience guiding or mentoring other engineers Knowledge of data catalogue or governance tools (e.g., DataPlex, Informatica EDC) Experience with CI/CD pipelines (Git, Jenkins, etc. More ❯

from on-premises databases such as SQL 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, is required. Ideally More ❯

with Collibra development Proficiency in 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 (AWS, GCP, Azure) Desirable Collibra Ranger/ More ❯

cross-skilling. Essential skills and experience: Strong SQL and hands-on experience with data modelling. Hands-on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS). Experience with databases/data platforms (ideally Oracle or Cloudera). Knowledge of cloud platforms (ideally AWS). Good experience with programming/scripting More ❯

learning and cross-skilling.Essential skills and experience:Strong SQL and hands-on experience with data modelling.Hands-on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS).Experience with databases/data platforms (ideally Oracle or Cloudera).Knowledge of cloud platforms (ideally AWS).Good experience with programming/scripting languages (e.g. Python More ❯