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 ❯
For: Deep Understanding of Data Management: Proven expertise in data quality, governance, security, and metadata management. Proficiency in Data Management Tools: Strong technical skills in tools like Informatica, Collibra, Talend, and Erwin. Data Modelling and Architecture: Ability to design and implement complex data models and architectures. Analytical and Problem-Solving Skills: Proficiency in data analysis, problem-solving, and decision-making. More ❯
relied upon to ensure our systems are trusted, reliable and available . The technology underpinning these capabilities includes industry leading data and analytics products such as Snowflake, Tableau, DBT, Talend, Collibra, Kafka/Confluent , Astronomer/Airflow , and Kubernetes . This forms part of a longer-term strategic direction to implement Data Mesh, and with it establish shared platform s More ❯
and is inside IR35 so will require working via an FCSA accredited umbrella company. Key Responsibilities: Design, development, and deployment of data integration and transformation solutions using Pentaho, Denodo, Talend, and SAS click apply for full job details More ❯
Bristol, Gloucestershire, United Kingdom Hybrid / WFH Options
Snap Analytics
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 ❯
