1 to 25 of 72 Talend Jobs in the UK

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 ❯

conceptual, logical, physical), 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 and cloud data platforms (e.g., Snowflake More ❯

modeling (conceptual, logical, physical), 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 and cloud data platforms (e.g., Snowflake, Azure 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 ❯

native designs. Experience with Inmon, Data Vault 2.0, Kimball, and dimensional modelling. Knowledge of integration patterns, ETL/ELT processes, and tools (e.g., Apache Airflow, Azure Data Factory, Informatica, Talend) to orchestrate data workflows. Familiarity with DevOps/MLOps principles, CI/CD pipelines, and infrastructure as code (e.g., Terraform, CloudFormation). Basic understanding of data security measures, encryption, IAM 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 ❯

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 ❯

product teams. We seek passionate testers with expertise Leading team, designing, developing, and maintaining data quality solutions. The ideal candidate should have strong expertise in ETL framework testing (preferably Talend or DataStage), BI report testing (preferably Power BI, Cognos), cloud technologies (preferably Azure, Databricks), SQL/PLSQL coding, and Unix/Python scripting. Key Responsibilities Lead and mentor a team … validation using advanced SQL, stored procedures, and database design principles. Utilize Unix/Python scripting for data validation, and process automation. Contribute to developing ETL solutions using tools like Talend or DataStage OR building stored procedures, scheduling workflows, and integrating data pipelines. Additionally, develop BI reports using tools like Power BI or Cognos. Implement best practices in data governance, compliance … a related field. 5+ year of experience in leading test teams, mentoring engineers, and driving test strategies. 5+ year of experience in data testing using ETL tool experience like Talend, DataStage, or equivalent. 5+ year of experience is automated & Data Quality testing using tools like TOSCA, ICEDQ or equivalent frameworks. 5+ year Advanced SQL/PL SQL experience (Snowflake a More ❯

Factory), Azure DB, Azure 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 or Snowflake Schema). Skilled in security 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 ❯

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 ❯

Excel, queues, and topics. Proficiency in SQL queries, functions, and procedures across Big Data platforms, Oracle, SQL Server, ERP solutions, and cloud providers. Useful experience with tools like Informatica, Talend, DataStage, or similar. Your Security Clearance Obtaining Security Check (SC) clearance is required, which involves residency in the UK for the last 5 years and other criteria. The process includes More ❯

techniques and data pipeline design patterns and behaviours. Experience with pipeline management and orchestration tools such as Airflow. Experience with low/no-code pipeline development tools such as Talend or SnapLogic. Experience developing data pipelines using cloud services (AWS preferred) like Lambda, S3, Redshift, Glue, Athena, Secrets Manager or equivalent services. Experience of working with APIs for data extraction More ❯

Business Intelligence role, be an excellent communicator, possess strong analytical skills with the ability to understand business requirements and identify the most appropriate BI solution. Essential Skills and Experience: Talend Studio 8 ETL developer, including TMS or TAC cloud management Proficient SQL skills using MS SQL Server management tools Proficient in Power BI, including MS SQL Server BI stack, Power … Query, Power BI, and DAX Design, develop, and deploy Talend ETL datasets, transformations, and data loading to MSSQL Server Translate business requirements into technical specifications Optional Skills: SAP Data Services SAP BW Oracle SQL Server Management Personal Characteristics: Excellent communication skills, both written and verbal Innovative and conceptual thinker Ability to work under pressure and meet tight deadlines Team player More ❯

an excellent communicator, possess strong analytical skills with an ability to understand business requirements and identify the most appropriate BI solution. Skills and experience is essential in the following: Talend Studio 8 ETL developer - including TMS or TAC cloud management Proficient SQL Skills using MS SQL Server management tool. Proficient in Power BI with Experience in tools MS SQL Server … BI stack, including power query, PowerBI and DAX. To design, develop and deploy Talend ETL datasets, transformations and data loading to MSSQL server. Understand and convert business requirements into technical specifications. Additional optional skills : SAP BO/SAP BI (Web Intelligence, IDT, Design Studio, SAP Lumira) SAP Data Services SAP BW Oracle SQL server Management You will possess the following More ❯

schemas and snowflake schemas, ensuring performance and ease of use for the client. You'll manage the delivery of ETL/ELT processes using tools like Matillion, Informatica, or Talend, adhering to data engineering best practices and incorporating things such as metadata driven ETL approaches and near real-time data platform architectures. Innovation & Continuous Improvement You'll stay updated on … data warehousing for enterprise organisations. Proven experience designing data architectures on platforms like AWS, Azure, or GCP. Technical Skills Extensive experience with ETL/ELT tools (e.g. Matillion, Informatica, Talend) and cloud data platforms (e.g., Snowflake, Databricks, BigQuery). Expertise in data modelling techniques (e.g., star schema, snowflake schema) and optimising models for analytics and reporting. Familiarity with version control More ❯

schemas and snowflake schemas, ensuring performance and ease of use for the client. You’ll manage the delivery of ETL/ELT processes using tools like Matillion, Informatica, or Talend, adhering to data engineering best practices and incorporating things such as metadata driven ETL approaches and near real-time data platform architectures. Innovation & Continuous Improvement You’ll stay updated on … data warehousing for enterprise organisations. Proven experience designing data architectures on platforms like AWS, Azure, or GCP. Technical Skills Extensive experience with ETL/ELT tools (e.g. Matillion, Informatica, Talend) and cloud data platforms (e.g., Snowflake, Databricks, BigQuery). Expertise in data modelling techniques (e.g., star schema, snowflake schema) and optimising models for analytics and reporting. Familiarity with version control 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 ❯

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 ❯

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 ❯