1 to 25 of 696 Informatica Jobs in the UK

Spark, and Kafka. Technical Skills: Proficiency in data modelling (ERD, normalization) and data warehousing concepts. Strong understanding of ETL frameworks and tools (e.g., Talend, Informatica, Apache NiFi). Knowledge of programming languages such as SQL, Python, or Java. Experience with BI tools (e.g., Power BI, Tableau) and data visualisation More ❯

the financial services sector. •Strong understanding of financial products, transactions, and regulatory reporting requirements. •Proficiency with data management and governance tools (e.g. Purview, Collibra, Informatica, Alation,). Purview experience is significant advantage. •Strong analytical, problem-solving, and communication skills. •Experience with cloud data platforms and storage solution such as More ❯

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 More ❯

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 More ❯

field. 2. Experience a. Proven experience in data architecture, migrations, or conversions. b. Hands-on experience with data integration tools and platforms (e.g., Talend, Informatica, MuleSoft). c. Experience with Infor Cloudsuite Applications (M3, LN, Lawson, FSM, GHR) 3. Technical Skills a. Strong knowledge of data modeling and relational More ❯

Azure SQL Database, Databricks, Microsoft Fabric or Azure Synapse Analytics. Demonstrated success implementing data governance programs with tools like Collibra, Alation, Microsoft Purview, or Informatica, including projects around lineage, cataloging, and quality rules. Strong hands-on development experience in SQL and Python, with working knowledge of Spark or other More ❯

Azure SQL Database, Databricks, Microsoft Fabric or Azure Synapse Analytics. Demonstrated success implementing data governance programs with tools like Collibra, Alation, Microsoft Purview, or Informatica, including projects around lineage, cataloging, and quality rules. Strong hands-on development experience in SQL and Python, with working knowledge of Spark or other More ❯

Azure SQL Database, Databricks, Microsoft Fabric or Azure Synapse Analytics. Demonstrated success implementing data governance programs with tools like Collibra, Alation, Microsoft Purview, or Informatica, including projects around lineage, cataloging, and quality rules. Strong hands-on development experience in SQL and Python, with working knowledge of Spark or other More ❯

Azure SQL Database, Databricks, Microsoft Fabric or Azure Synapse Analytics. Demonstrated success implementing data governance programs with tools like Collibra, Alation, Microsoft Purview, or Informatica, including projects around lineage, cataloging, and quality rules. Strong hands-on development experience in SQL and Python, with working knowledge of Spark or other More ❯

Azure SQL Database, Databricks, Microsoft Fabric or Azure Synapse Analytics. Demonstrated success implementing data governance programs with tools like Collibra, Alation, Microsoft Purview, or Informatica, including projects around lineage, cataloging, and quality rules. Strong hands-on development experience in SQL and Python, with working knowledge of Spark or other More ❯

knowledge of SQL and experience with relational databases (e.g., SQL Server, MySQL, PostgreSQL). Experience with data integration and ETL tools (e.g., SSIS, Talend, Informatica). Excellent analytical and problem-solving skills. Strong communication and collaboration skills, with the ability to work effectively in a team-oriented environment. Preferred More ❯

knowledge of SQL and experience with relational databases (e.g., SQL Server, MySQL, PostgreSQL). Experience with data integration and ETL tools (e.g., SSIS, Talend, Informatica). Excellent analytical and problem-solving skills. Strong communication and collaboration skills, with the ability to work effectively in a team-oriented environment. Preferred More ❯

management, and master data management (MDM). Deep understanding of data integration, transformation, and ingestion techniques using modern tools (e.g., Azure Data Factory, Boomi, Informatica, Talend, dbt, Apache NiFi). Strong familiarity with data warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms. Hands-on experience with More ❯

metadata management, and master data management (MDM) Deep understanding of data integration, transformation, and ingestion techniques using modern tools (e.g., Azure Data Factory, Boomi, Informatica, Talend, dbt, Apache NiFi) Strong familiarity with data warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms Hands-on experience with SQL More ❯

Power BI, etc) and data visualisation concepts Understanding of version control systems like Git Desirable Knowledge: Experience working with ETL/ELT tools (e.g., Informatica, Airflow) Familiarity with cloud platforms (AWS, Azure, GCP) Understanding of data governance and data quality assurance processes Experience in regulated industries such as financial More ❯

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 More ❯

as DAMA-DMBoK, CMMI and DCAM. Domain Expertise: Extensive knowledge of the data technology landscape, including data management tooling and platform capabilities, such as Informatica and Collibra. Additionally, demonstratable proficiency with industry-standard data management and governance frameworks, such as DAMA-DMBOK, CMMI, and DCAM, is highly desirable. Professional More ❯

of the target system. Skills in loading transformed data into target destinations or data models and vocabularies. Familiarity with relevant tools (for example, Talend, Informatica, Stitch, Pentaho) or willingness to learn. Data Governance: Understanding of data governance practices, including data quality; reference and master data; data interoperability. An appreciation More ❯

data solutions Familiarity with ETL, data modelling, and data governance Strong stakeholder management and communication skills Experience with Power BI, Azure, and tools like Informatica, Collibra, Alation Desirable Knowledge of Subscribe, Majesco, Websure Understanding of Lloyd’s messaging protocols Strong grasp of insurance data structures and regulatory requirements Due More ❯

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 More ❯

A stack, Databricks, and Azure Open AI. Proficiency in coding (Python, PL/SQL, Shell Script), relational and non-relational databases, ETL tools (e.g., Informatica), and scalable data platforms. Knowledge of Azure Data and Analytics stack; familiarity with AWS and GCP data solutions. Experience deploying AI solutions on Azure More ❯

. Strong understanding of data modelling (relational, dimensional, NoSQL) and ETL/ELT processes . Experience with data integration tools (e.g., Apache Kafka, Talend, Informatica) and APIs . Familiarity with big data technologies (e.g., Hadoop, Spark) and real-time streaming Expertise in cloud security , data governance , and compliance (e.g. More ❯

A stack, Databricks, and Azure OpenAI solutions. Proficiency in coding (Python, PL/SQL, Shell Script), relational and non-relational databases, ETL tools (e.g., Informatica), and scalable data platforms. Knowledge of Azure Data and Analytics stack; familiarity with AWS and GCP data solutions. Experience deploying AI solutions on Azure More ❯

A stack, Databricks, and Azure OpenAI solutions. Proficiency in coding (Python, PL/SQL, Shell Script), relational and non-relational databases, ETL tools (e.g., Informatica), and scalable data platforms. Knowledge of Azure Data and Analytics stack; familiarity with AWS and GCP data solutions. Experience deploying AI solutions on Azure More ❯

A stack, Databricks, and Azure OpenAI solutions. Proficiency in coding (Python, PL/SQL, Shell Script), relational and non-relational databases, ETL tools (e.g., Informatica), and scalable data platforms. Knowledge of Azure Data and Analytics stack; familiarity with AWS and GCP data solutions. Experience deploying AI solutions on Azure More ❯