1 to 25 of 80 Informatica Jobs in the UK

such as lakehouse. Experience with CI/CD pipelines, version control systems like Git, and containerization (e.g., Docker). Experience with ETL tools and technologies such as Apache Airflow, Informatica, or Talend. Strong understanding of data governance and best practices in data management. Experience with cloud platforms and services such as AWS, Azure, or GCP for deploying and managing More ❯

using modern data architectures, such as lakehouse. Experience with CI/CD pipelines and version control systems like Git. Knowledge of ETL tools and technologies such as Apache Airflow, Informatica, or Talend. Knowledge of data governance and best practices in data management. Familiarity with cloud platforms and services such as AWS, Azure, or GCP for deploying and managing data More ❯

A proactive awareness of industry standards, regulations, and developments. Ideally, you'll also have: Experience of Relational Databases and Data Warehousing concepts. Experience of Enterprise ETL tools such as Informatica, Talend, Datastage or Alteryx. Project experience using the any of the following technologies: Hadoop, Spark, Scala, Oracle, Pega, Salesforce. Cross and multi-platform experience. Team building and leading. You More ❯

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 ❯

using tools like ERwin, ER/Studio, or PowerDesigner, ensuring scalability, performance, and maintainability. ETL/ELT Frameworks: Design and build robust data pipelines with Cloud Composer, Dataproc, Dataflow, Informatica, or IBM DataStage, supporting both batch and streaming data ingestion. Data Governance & Quality: Implement data governance frameworks, metadata management, and data quality controls using Unity Catalog, Profisee, Alation, DQ More ❯

platforms (e.g., OpenTWINS, DXC Assure, Sequel, IRIS). Knowledge of BI/MI tooling (e.g., Power BI, Tableau, Qlik). Familiarity with data warehouse technologies (e.g., SQL, Snowflake, Azure, Informatica, etc.). Exposure to Agile delivery and use of tools such as Jira or Azure DevOps. More ❯

platforms (e.g., OpenTWINS, DXC Assure, Sequel, IRIS). Knowledge of BI/MI tooling (e.g., Power BI, Tableau, Qlik). Familiarity with data warehouse technologies (e.g., SQL, Snowflake, Azure, Informatica, etc.). Exposure to Agile delivery and use of tools such as Jira or Azure DevOps. More ❯

years experience with reporting tools: 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 of columnar and NoSQL databases More ❯

query optimization. Experience designing large-scale, distributed data systems in hybrid or cloud environments (e.g., Azure SQL, AWS RDS). Strong knowledge of ETL frameworks and integration tools (SSIS, Informatica, Azure Data Factory). Understanding of CI/CD pipelines and automation in database deployments. Excellent problem-solving, communication, and leadership skills. Preferred Qualifications: Cloud certification (Azure Data Engineer More ❯

Strong hands-on experience with cloud data platforms, specifically Google Cloud Platform - BigQuery Experience with leading ETL/ELT tools and data pipeline orchestration (e.g., Dataflow, Apache Airflow, Talend, Informatica) Advanced SQL skills and deep knowledge of various database technologies (relational, columnar, NoSQL) Practical experience in establishing data governance frameworks, data quality initiatives, and Master Data Management solutions Understanding More ❯

knowledge of SQL and NoSQL databases (e.g., MongoDB, Cassandra). Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). Experience with data integration and ETL tools (e.g., Talend, Informatica). Excellent analytical and technical skills. Excellent planning and organizational skills. Knowledge of all components of holistic enterprise architecture. What we offer: Colt is a growing business that is More ❯

tuning. Strong understanding of data warehousing concepts and dimensional data modelling. Experience integrating OBIEE with Oracle and non-Oracle data sources. Familiarity with ETL processes and tools (e.g., ODI, Informatica) is a plus. Experience with Oracle BI Publisher is a bonus. Excellent analytical, problem-solving, and communication skills. Company Market leading financial services organisation with offices in London Hybrid More ❯

tuning. Strong understanding of data warehousing concepts and dimensional data modelling. Experience integrating OBIEE with Oracle and non-Oracle data sources. Familiarity with ETL processes and tools (e.g., ODI, Informatica) is a plus. Experience with Oracle BI Publisher is a bonus. Excellent analytical, problem-solving, and communication skills. Company Market leading financial services organisation with offices in London Hybrid More ❯

the role) Advise senior client stakeholders (CDOs, CIOs, Heads of Data) on data strategy, governance, and platform modernisation Design robust ETL/ELT frameworks with Azure Data Factory , SSIS , Informatica , or IBM DataStage Lead data modelling using ERwin , ER/Studio , or PowerDesigner Implement data governance and quality frameworks using Unity Catalog , Profisee , Alation , or similar platforms Provide leadership More ❯

of Oracle Database Tuning/Performance Diagnostics:In-depth understanding of execution plans, indexes, and session performance tools. Experience with Data Quality Tools or Frameworks:Exposure to tools like Informatica DQ, Talend DQ, Collibra, or custom-built DQ engines. Familiarity with Data Governance Practices:Understanding of data stewardship, lineage, and regulatory reporting requirements (e.g., BCBS 239, GDPR). Experience More ❯

of Oracle Database Tuning/Performance Diagnostics: In-depth understanding of execution plans, indexes, and session performance tools. Experience with Data Quality Tools or Frameworks: Exposure to tools like Informatica DQ, Talend DQ, Collibra, or custom-built DQ engines. Familiarity with Data Governance Practices: Understanding of data stewardship, lineage, and regulatory reporting requirements (e.g., BCBS 239, GDPR). Experience More ❯

re Looking For: Deep Understanding 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 in data analysis, problem-solving More ❯

Required Qualifications Bachelor's degree with at least 5 years of experience, or equivalent. In-depth knowledge and expertise in data engineering, including: Snowflake (data warehousing and performance tuning) Informatica (ETL/ELT development and orchestration) - nice to have Python (data processing and scripting) - required AWS (data services such as S3, Glue, Redshift, Lambda) - required Cloud data practices and More ❯

IF YOU: Know your way around SQL or Python Have DAMA certification under your belt Understand data lineage and BCBS 239 principles Have hands-on experience with SSIS or Informatica We are an inclusive organisation and committed to ensuring our recruitment process is as accessible as possible to everyone. We will make adjustments for people who have a disability More ❯

starter who thrives on managing multiple priorities Strong analytical and problem-solving skills Desirable: Exposure to Financial Services or Insurance Hands-on experience with Data Governance tools (eg, Collibra, Informatica, etc.) Understanding of data quality management and risk controls For a full consultation on this exciting new role, get in touch with ARC IT Recruitment today. More ❯

Azure, GCP). Familiarity with CI/CD pipelines and test automation (even if not core to this role). Knowledge of other integration platforms (e.g., MuleSoft, Dell Boomi, Informatica). InterQuest Group is acting as an employment agency for this vacancy. InterQuest Group is an equal opportunities employer and we welcome applications from all suitably qualified persons regardless More ❯

data pipelines including coding and testing for ingesting wrangling transforming and joining data from various sources. About the role The ideal candidate should be adept in ETL tools like Informatica Glue Databricks and DataProc with strong coding skills in Python PySpark and SQL. You will have expertise in data warehousing solutions such as Snowflake BigQuery Lakehouse and Delta Lake More ❯

SQL Tableau/Power BI 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 and/or Oracle Analytics More ❯

function to identify and resolve issues. You have To be considered for this role, we would love you to have: - Functional skills in an industry recognised data catalogue (e.g. Informatica, Collibra). - Proven experience leading the maintenance of a Business Glossary or a similar controlled vocabulary for classifying information. - A strong understanding of data lineage, table structures in database More ❯

business capability and process taxonomies, maturity assessments and alignment of gaps to enabling technology solutions Appreciation/Experience in designing and governing data platform architectures (e.g. broad understanding of Informatica, Collibra, Ab Initio, Snowflake, Databricks) Appreciation of and interest in attaining end-to-end data skills e.g., data quality, metadata, data-mesh, data security, privacy & compliance Experience with Enterprise More ❯