1 to 25 of 55 Talend Jobs in London

experience. Awareness of industry standards, regulations, and developments. Ideally, you’ll also have: Experience with Relational Databases and Data Warehousing concepts. Experience with Enterprise ETL tools such as Informatica, Talend, DataStage, or Alteryx. Project experience with technologies like Hadoop, Spark, Scala, Oracle, Pega, Salesforce. Cross-platform experience. Team building and leadership skills. You must be: Willing to work on client More ❯

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 must be More ❯

platforms (e.g., Hadoop, Spark, Kafka). • 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 of data governance frameworks and More ❯

in data modeling, database design, and data warehousing. Technical Skills: Proficiency in data modeling tools (e.g., ER/Studio, Erwin). Experience with data integration tools (e.g., Informatica, Snowflake, Talend, Apache Nifi). Knowledge of big data technologies (e.g., Hadoop, Spark, Kafka) and cloud data platforms (e.g., AWS, Azure, Google Cloud). Understanding of BI systems such as PowerBI and More ❯

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 environment Strong More ❯

BigQuery, Snowflake, or Azure Synapse Analytics, including data modelling and ETL processes. ETL Processes: Proficient in designing and implementing ETL (Extract, Transform, Load) processes using tools like Apache NiFi, Talend, or custom scripts. Familiarity with ELT (Extract, Load, Transform) processes is a plus. Big Data Technologies : Familiarity with big data frameworks such as Apache Hadoop and Apache Spark, including experience More ❯

Cassandra. Big Data Ecosystems: Hadoop, Spark, Hive, and HBase. Data Integration & ETL: Data Pipelining Tools: Apache NiFi, Apache Kafka, and Apache Flink. ETL Tools: AWS Glue, Azure Data Factory, Talend, and Apache Airflow. AI & Machine Learning: Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, and MXNet. AI Services: AWS SageMaker, Azure Machine Learning, Google AI Platform. DevOps & Infrastructure as Code: Containerization: Docker More ❯

tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive, tech passionate and highly motivated Desirable requirements: Experience in Data analysis and visualization solutions: Microstrategy, Qlik, PowerBI, Tableau More ❯

tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive, tech passionate and highly motivated Desirable requirements: Experience in Data analysis and visualization solutions: Microstrategy, Qlik, PowerBI, Tableau More ❯

Sand Technologies is a fast-growing enterprise AI company that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI More ❯

Sand Technologies is a fast-growing enterprise AI company that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI More ❯

Preferred Qualifications · Azure certifications such as Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Solutions Architect Expert. · Experience with other data integration tools like SSIS, Informatica, or Talend (optional but beneficial). · Knowledge of big data technologies such as Databricks. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering More ❯

Develop and maintain metadata and data lineage for all keying and linking components. Evaluate and recommend tools and technologies for probabilistic and deterministic matching (e.g., Informatica MDM, IBM InfoSphere, Talend, AWS Entity Resolution). Ensure solutions are scalable, performant, and align with enterprise architecture standards and privacy regulations. Support data modeling efforts for domains such as customer, product, and vendor. More ❯

Develop and maintain metadata and data lineage for all keying and linking components. Evaluate and recommend tools and technologies for probabilistic and deterministic matching (e.g., Informatica MDM, IBM InfoSphere, Talend, AWS Entity Resolution). Ensure solutions are scalable, performant, and align with enterprise architecture standards and privacy regulations. Support data modeling efforts for domains such as customer, product, and vendor. More ❯

communicator with experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more than a job, it's an opportunity to More ❯

Develop and maintain metadata and data lineage for all keying and linking components. Evaluate and recommend tools and technologies for probabilistic and deterministic matching (e.g., Informatica MDM, IBM InfoSphere, Talend, AWS Entity Resolution). Ensure solutions are scalable, performant, and align with enterprise architecture standards and privacy regulations. Support data modeling efforts for domains such as customer, product, and vendor. More ❯

and prevention. Partner with data stewards , data owners , and other stakeholders to improve data quality across the enterprise. Implement and manage data quality tools and platforms (e.g., Informatica DQ, Talend, IBM InfoSphere, Ataccama). Collaborate with teams on data migration , integration , and analytics projects to ensure high-quality data flows. Provide regular reporting and dashboards on data quality trends and … in data quality , data governance , or data management roles. Strong knowledge of data quality dimensions , data profiling , and root cause analysis techniques. Proficiency in data quality tools (e.g., Informatica, Talend, Ataccama) and strong SQL skills. Experience with data governance frameworks and working in cross-functional teams. Excellent communication and stakeholder management skills. Familiarity with metadata management , master data management , and More ❯

SQL, NoSQL). Knowledge of data modelling tools such as Erwin, IBM Data Architect, or Microsoft Visio is required. Knowledge of ETL methods and technologies (for example, Apache NiFi, Talend, and Informatica). Strong problem-solving and analytical skills are required to build effective data solutions. Excellent communication skills are required to work with cross-functional teams and convert business … SQL, NoSQL). Knowledge of data modelling tools such as Erwin, IBM Data Architect, or Microsoft Visio is required. Knowledge of ETL methods and technologies (for example, Apache NiFi, Talend, and Informatica). Strong problem-solving and analytical skills are required to build effective data solutions. Excellent communication skills are required to work with cross-functional teams and convert business More ❯

Preferred Qualifications Azure certifications such as Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Solutions Architect Expert. Experience with other data integration tools like SSIS, Informatica, or Talend (optional but beneficial). Knowledge of big data technologies such as Databricks. #J-18808-Ljbffr More ❯

and enhance existing analytics tools to ensure ongoing suitability and performance. Key Skills & Experience (Essential): Proven experience in Data Engineering, particularly with Informatica IICS (CDI and CAI), MuleSoft or Talend . Strong experience in data integration and business intelligence development. Proficient in SQL , Python , and R . Skilled in using BI and data visualisation tools such as Tableau and Power More ❯

Experience: Essential: Proven experience in data migration execution and testing. Familiarity with tools like ETL Validator, Testing Xperts, Dextrus, and Azure Document DB. Proficiency with ETL tools such as Talend, Informatica, SSIS, and migration tools like AWS DMS and Azure DMS. Strong SQL and database knowledge (Oracle, SQL Server, MySQL). Solid understanding of data governance, quality, remediation, and security. More ❯

Processing (OLTP) and Online Analytical Processing (OLAP) database structures (MSSQL and BigQuery preferred) Experience in data warehouse development and design (BigQuery preferred) Proficiency in ETL tools such as SSIS, Talend, or Airflow Familiarity with BI tools like Power BI, Qlik Sense, or Looker (Power BI preferred) Excellent SQL query writing skills Exposure to cloud architecture and SaaS frameworks Excellent problem More ❯

Strong 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 ❯

Ability to lead, and to work well as part of, a team using the agile methodology Knowledge of ELT/ETL tools such as Informatica DEI/BDM and Talend would be beneficial Experience of mentoring junior to mid-level Data Engineers would be beneficial Our culture is built on: Being one team; looking out for each other as a More ❯

and prevention. Partner with data stewards , data owners , and other stakeholders to improve data quality across the enterprise. Implement and manage data quality tools and platforms (e.g., Informatica DQ, Talend, IBM InfoSphere, Ataccama). Collaborate with teams on data migration , integration , and analytics projects to ensure high-quality data flows. Provide regular reporting and dashboards on data quality trends and … in data quality , data governance , or data management roles. Strong knowledge of data quality dimensions , data profiling , and root cause analysis techniques. Proficiency in data quality tools (e.g., Informatica, Talend, Ataccama) and strong SQL skills. Experience with data governance frameworks and working in cross-functional teams. Excellent communication and stakeholder management skills. Familiarity with metadata management , master data management , and More ❯