11 of 11 ETL Jobs in Kent

beneficial but not essential. Key Responsibilities Design and deliver scalable data pipelines using Azure Databricks, Azure Data Factory, and Azure SQL Build and maintain ETL/ELT processes and data quality frameworks Develop consistent data models and analytics-ready datasets Partner with stakeholders to deliver effective data solutions Produce technical ...

manage multiple priorities in a fast-paced environment. Technical Skills Proficiency in SQL and advanced Excel. Strong understanding of: Relational database concepts Data modelling ETL processes Data governance principles Tools & Methodologies Experience working in Agile/Scrum environments. Hands-on experience with JIRA and Confluence. Familiarity with data visualisation tools ...

stakeholders across the organisation to define metrics and deliver analysis, translating findings into clear, actionable recommendations and compelling data stories. Engineer and manage robust ETL pipelines (including APIs) to integrate diverse data sources, enabling the creation of impactful, real-time reporting solutions. Design and maintain fit-for-purpose data models ...

Exposure to multi-platform integration (MS tools preferred). On premise SQL environments, legacy SSIS, SSRS and other SQL-related technologies employed in complex ETL or ELT patterns Synapse Link for Dataverse Dataverse, Data Flows, Cloud Flows, DAX and Power Platform implementations Synchronisation methods for Synapse and Fabric from D365 ...

quantitative discipline. Postgraduate an advantage. Experience with financial data sets Very strong Python, with emphasis on data engineering and systems programming. Good understanding of ETL processes, databases and other data management tools such as data lakes and DBT. Some exposure to DB Engine operation. Clustering, performance tuning, backups. Linux/ ...

Oracle Analytics Cloud (OAC dashboards, DV, RPD/semantic modelling). Experience with Autonomous Data Warehouse (ADW) and Oracle Fusion data structures. Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset. Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads. ...

Integration architecture Event-driven architecture patterns (distributed design patterns more generally is an advantage) API design, management, and governance Extensive experience improving and optimising ETL processes, presumably using IPaaS tooling Data architecture Data modelling, cataloguing, and associated governance Data lakes, distributed storage Metadata management Cloud & Platform Architecture Proficient ...

knowledge of Python (Pandas, NumPy, Wiresafe), SQL, Linux CLI, BigQuery. Experience with DBMS, Delta Tables, Oracle, MS Access, SQL Server. Skills in Data Modelling, ETL/ELT Data Pipelines, Python scripting, Data Warehousing. Desirable Skills/Knowledge/Experience Experience in production support, troubleshooting data pipeline issues, and ensuring timely … and accurate business reporting. Expertise in Data Modelling, ETL/ELT Pipelines, Python scripting, and Data Warehousing. Strong knowledge of file formats: Parquet, Delta, CSV, Excel, PDF, JSON, Nested JSON. Good debugging skills. Proficiency with Git commands. Experience in code reusability and optimisation. Rewards & Benefits TCS is consistently voted ...

5+ years professional Python experience; you've shipped and owned production systems. Built/owned a real-time/low-latency system (not batch ETL) with measurable performance goals. Strong understanding of async + multiprocessing tradeoffs and performance profiling. Comfortable owning an existing codebase: refactors, tests, architecture improvements. Experience with ...

Real Time Monitoring and Predictive AI Key responsibilities: Design and maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and … services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare data for model training and deploy AI models into production workflows (batch or real ...

and optimise data usage Ensure data quality, governance and compliance standards are met across all data assets Support data exchange and processing solutions including ETL, APIs and integration layers Contribute to the ongoing improvement of data platforms and architectures Stay up to date with emerging technologies and provide input into … technologies such as MS SQL or Oracle Experience with noSQL technologies such as MongoDB, InfluxDB or Neo4J Strong data exchange and processing experience including ETL, ESB and API-based integrations Development experience, ideally using Python Knowledge of big data technologies such as the Hadoop stack Exposure to NLP and ...