1 to 25 of 63 Informatica Jobs in London

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 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 ❯

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 ❯

Familiarity with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud). • Expertise in ETL tools and processes (e.g., Apache NiFi, Talend, Informatica). • Proficiency in data integration tools and technologies. • Familiarity with data visualization and reporting tools (e.g., Tableau, Power BI) is a plus. • Deep understanding 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 ❯

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 ❯

Power BI, Business Objects, Tableau or OBI. Understanding of Master Data Management technology landscape, processes and design principles. Minimum 3 years of experience with Informatica MDM or any other MDM tools (both customer and product domains). Understanding of established data management and reporting technologies, and have some knowledge More ❯

of Data Management: Proven expertise in data quality, governance, security, and metadata management. Proficiency in Data Management Tools: Strong technical skills in tools like Informatica, Collibra, Talend, and Erwin. Data Modelling and Architecture: Ability to design and implement complex data models and architectures. Analytical and Problem-Solving Skills: Proficiency 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 ❯

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 ❯

similar). SQL and SQL Server Reporting Services (SSRS). From a leadership perspective: Python, R (or other languages). Master Data Management Solutions (Informatica, Semarchy, IBM, or similar). Meta Data Management Solutions (Colibra, Alex Solutions, or similar). Qualifications Bachelor's degree in a relevant field such 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 ❯

scripting language (e.g., Python, KornShell) PREFERRED QUALIFICATIONS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and More ❯

Catalog/Data Governance Management component MS Purview (Metadata and Data Quality tool) experience is a bonus - experience in similar tools is valuable (Collibra, Informatica Data Quality/MDM/Axon etc.) Data Architecture experience is a bonus Python, Scala, Databricks Spark and Pyspark with Data Engineering skills Ownership More ❯

Familiarity and experience with SAP, Workday, SuccessFactors, or any other HCM system Experience with HR Systems & Processes Google Cloud Platform or similar cloud platforms Informatica or similar middleware technology Experience with Robotic Process Automation tools Education: Bachelor's degree in Information Systems, Computer Science, Software, Electrical or Electronics Engineering More ❯

System Catalog Views). Strong experience in Snowflake architecture, including data loading, transformation, and performance tuning. Proficient in ETL processes using tools such as Informatica PowerCenter and BDM, AutoSys, Airflow, and SQL Server Agent. Experience with cloud platforms preferably AWS. Strong knowledge of AWS cloud services, including EMR, RDS More ❯

this is not essential) Strong knowledge of data governance frameworks, best practices, and data quality management principles, Experience with data management tools (e.g., Collibra, Informatica, Alation, or similar platforms). Proven ability to lead cross-functional teams, manage projects, and drive consensus across diverse stakeholders Knowledge of data privacy 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 ❯

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 ❯

same with 1+ year of experience OR equivalent experience in a technical position. Key job responsibilities Intermediate expertise in ETL tools such as Talend, Informatica or similar. Knowledge of data management fundamentals and data storage principles. Advanced SQL and query performance tuning skills. Experience integrating and managing large data More ❯

optimizing SQL queries for large-scale, complex datasets. Experience with big data technologies such as Hadoop, Hive, Spark, EMR. Experience with ETL tools like Informatica, ODI, SSIS, BODI, or DataStage. Our inclusive culture empowers Amazon employees to deliver the best results for our customers. If you have a disability 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 ❯

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 ❯

pipeline. Experience working with APIs, Postman/SOAPUI tools, MS D365, ServiceNow, Azure Analytics tools, Azure Data lake, Azure Synapse, Azure BYOD & Data verse, Informatica, BI tools, etc. is a big plus. General business skills: Clear communication to translate and explain business requirements to technology & vice-versa. Analytical & methodical 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 ❯