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 ❯
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 ❯
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 ❯
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 ❯
watford, hertfordshire, east anglia, United Kingdom
Akkodis
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 ❯
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 ❯
Potters Bar, Hertfordshire, South East, United Kingdom
Canada Life Group (UK) Ltd (The)
and unstructured data) working directly with the business & data scientists. Ability to optimise data solutions for performance, scalability, and efficiency. Highly Desirable: Experience with Informatica ETL, Hyperion Reporting, and intermediate/advanced PL/SQL. Desirable Experience in a financial corporation Lake House/Delta Lake and Snowflake Experience 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 ❯
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 ❯
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 ❯
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 ❯
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 ❯
. Proficiency in modern data platforms such as Azure, AWS, or Google Cloud. Hands-on experience with data integration tools (e.g., Azure Data Factory, Informatica, Talend) and database technologies (SQL, NoSQL). Familiarity with big data technologies (e.g., Spark, Hadoop) and real-time data processing. Deep understanding of data More ❯
. Proficiency in modern data platforms such as Azure, AWS, or Google Cloud. Hands-on experience with data integration tools (e.g., Azure Data Factory, Informatica, Talend) and database technologies (SQL, NoSQL). Familiarity with big data technologies (e.g., Spark, Hadoop) and real-time data processing. Deep understanding of data More ❯
. Proficiency in modern data platforms such as Azure, AWS, or Google Cloud. Hands-on experience with data integration tools (e.g., Azure Data Factory, Informatica, Talend) and database technologies (SQL, NoSQL). Familiarity with big data technologies (e.g., Spark, Hadoop) and real-time data processing. Deep understanding of data More ❯
. Proficiency in modern data platforms such as Azure, AWS, or Google Cloud. Hands-on experience with data integration tools (e.g., Azure Data Factory, Informatica, Talend) and database technologies (SQL, NoSQL). Familiarity with big data technologies (e.g., Spark, Hadoop) and real-time data processing. Deep understanding of data More ❯
. Proficiency in modern data platforms such as Azure, AWS, or Google Cloud. Hands-on experience with data integration tools (e.g., Azure Data Factory, Informatica, Talend) and database technologies (SQL, NoSQL). Familiarity with big data technologies (e.g., Spark, Hadoop) and real-time data processing. Deep understanding of data More ❯
. Proficiency in modern data platforms such as Azure, AWS, or Google Cloud. Hands-on experience with data integration tools (e.g., Azure Data Factory, Informatica, Talend) and database technologies (SQL, NoSQL). Familiarity with big data technologies (e.g., Spark, Hadoop) and real-time data processing. Deep understanding of data More ❯
. Proficiency in modern data platforms such as Azure, AWS, or Google Cloud. Hands-on experience with data integration tools (e.g., Azure Data Factory, Informatica, Talend) and database technologies (SQL, NoSQL). Familiarity with big data technologies (e.g., Spark, Hadoop) and real-time data processing. Deep understanding of data More ❯
. Proficiency in modern data platforms such as Azure, AWS, or Google Cloud. Hands-on experience with data integration tools (e.g., Azure Data Factory, Informatica, Talend) and database technologies (SQL, NoSQL). Familiarity with big data technologies (e.g., Spark, Hadoop) and real-time data processing. Deep understanding of data More ❯
. Proficiency in modern data platforms such as Azure, AWS, or Google Cloud. Hands-on experience with data integration tools (e.g., Azure Data Factory, Informatica, Talend) and database technologies (SQL, NoSQL). Familiarity with big data technologies (e.g., Spark, Hadoop) and real-time data processing. Deep understanding of data More ❯
. Proficiency in modern data platforms such as Azure, AWS, or Google Cloud. Hands-on experience with data integration tools (e.g., Azure Data Factory, Informatica, Talend) and database technologies (SQL, NoSQL). Familiarity with big data technologies (e.g., Spark, Hadoop) and real-time data processing. Deep understanding of data More ❯
. Proficiency in modern data platforms such as Azure, AWS, or Google Cloud. Hands-on experience with data integration tools (e.g., Azure Data Factory, Informatica, Talend) and database technologies (SQL, NoSQL). Familiarity with big data technologies (e.g., Spark, Hadoop) and real-time data processing. Deep understanding of data More ❯
. Proficiency in modern data platforms such as Azure, AWS, or Google Cloud. Hands-on experience with data integration tools (e.g., Azure Data Factory, Informatica, Talend) and database technologies (SQL, NoSQL). Familiarity with big data technologies (e.g., Spark, Hadoop) and real-time data processing. Deep understanding of data More ❯
. Proficiency in modern data platforms such as Azure, AWS, or Google Cloud. Hands-on experience with data integration tools (e.g., Azure Data Factory, Informatica, Talend) and database technologies (SQL, NoSQL). Familiarity with big data technologies (e.g., Spark, Hadoop) and real-time data processing. Deep understanding of data More ❯
