1 to 25 of 63 Informatica Jobs in England

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 ❯

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 ❯

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 ❯

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 ❯

advisor, leading workshops and influencing senior stakeholders on strategy, roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using tools such as Unity Catalog, Profisee, Alation, or DQ Pro. Technical Leadership – Mentor cross-functional teams More ❯

advisor, leading workshops and influencing senior stakeholders on strategy, roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using tools such as Unity Catalog, Profisee, Alation, or DQ Pro. Technical Leadership – Mentor cross-functional teams More ❯

advisor, leading workshops and influencing senior stakeholders on strategy, roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using tools such as Unity Catalog, Profisee, Alation, or DQ Pro. Technical Leadership – Mentor cross-functional teams More ❯

advisor, leading workshops and influencing senior stakeholders on strategy, roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using tools such as Unity Catalog, Profisee, Alation, or DQ Pro. Technical Leadership – Mentor cross-functional teams More ❯

advisor, leading workshops and influencing senior stakeholders on strategy, roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using tools such as Unity Catalog, Profisee, Alation, or DQ Pro. Technical Leadership – Mentor cross-functional teams More ❯

efficient migration from on-premises databases (SQL Server, Oracle, MySQL, NoSQL) to AWS cloud. 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). Understanding of data warehousing and data modelling techniques (Star Schema, Snowflake Schema). Familiarity with security frameworks (GDPR More ❯

data integration solutions that support critical business functions such as regulatory reporting, risk management, and financial analytics. The ideal candidate will have hands-on experience with ETL tools (e.g., Informatica, Talend, SSIS), strong SQL skills, and a solid understanding of financial data structures and compliance requirements. YOUR PROFILE Expertise in tools SAP Data services, and SAP Business Objects. Advanced More ❯

data integration solutions that support critical business functions such as regulatory reporting, risk management, and financial analytics. The ideal candidate will have hands-on experience with ETL tools (e.g., Informatica, Talend, SSIS), strong SQL skills, and a solid understanding of financial data structures and compliance requirements. YOUR PROFILE Expertise in tools SAP Data services, and SAP Business Objects. Advanced 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 ❯

data integration solutions that support critical business functions such as regulatory reporting, risk management, and financial analytics. The ideal candidate will have hands-on experience with ETL tools (e.g., Informatica, Talend, SSIS), strong SQL skills, and a solid understanding of financial data structures and compliance requirements. YOUR PROFILE Expertise in tools SAP Data services, and SAP Business Objects. Advanced 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 ❯

nice to have but not essential): Recognised data or AI qualification (e.g. CDMC, DAMA, DCAM, ISACA). Familiarity with key data and AI platforms (Snowflake, Databricks, Microsoft Purview, Collibra, Informatica, AWS). Experience implementing and refining data/AI analytics tools to automate internal audit processes. Proficiency in analytics tools such as Alteryx, Tableau, Power BI, Databricks, Snowflake, SQL 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. Certification in Project Management (PMP, PRINCE2) or Agile (Scrum Master, PMI-ACP). 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 ❯

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 ❯

Stored Procedures, Indexing, Query Optimization, 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 Postgres, Athena, S3 and 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 ❯

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 ❯

focused consultancy environment. Bonus points for: Knowledge of SAP, particularly data sets for customers, vendors and materials. Experience with data quality and profiling tools (e.g. SAP Information Steward, Talend, Informatica Data Quality, Collibra Data Quality, Trillium, Ataccama, etc.). Previous data migration experience. Previous consultancy or client-facing experience. WHAT WE OFFER Trust that you are proficient at what More ❯

focused consultancy environment. Bonus points for: Knowledge of SAP, particularly data sets for customers, vendors and materials. Experience with data quality and profiling tools (e.g. SAP Information Steward, Talend, Informatica Data Quality, Collibra Data Quality, Trillium, Ataccama, etc.). Previous data migration experience. Previous consultancy or client-facing experience. WHAT WE OFFER Trust that you are proficient at what More ❯

Experience with one or 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 need a workplace accommodation or More ❯