10 of 10 ETL Jobs in Cambridgeshire

responsible for: Building and managing data pipelines using Azure Synapse, Data Factory, Databricks, or Microsoft Fabric Designing and maintaining data lakes, data warehouses, and ETL/ELT processes Developing scalable data models for reporting in Power BI Work closely with stakeholders to understand the needs of their individual business and ...

months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/Gold layers) • Integrate data from multiple sources ...

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 ...

strong sense of ownership Motivation to learn quickly in a fast-paced startup environment Nice to Have Exposure to data engineering or analytics concepts (ETL, data modelling, analytics engineering) Familiarity with tools such as PySpark, Airflow, dbt, or Databricks Experience working with business systems (ERP, CRM, operational data) Interest ...

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 ...

will be responsible for: Diagnosing and resolving SQL Server performance issues across queries, indexes and execution plans Tuning stored procedures, user-defined functions and ETL processes to improve scalability and speed Working closely with clients and internal teams to understand requirements and deliver efficient technical solutions Promote performance best practices ...

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 ...

and workflows Managing MapFeature-based data models (everything in the platform is a MapFeature) Supporting: User-uploaded vector data with metadata and attachments Large ETL workflows (e.g. LiDAR, bathymetric XYZ) that generate streamable 3D Tilesets Designing async ETL workflows Working with cloud-native geospatial storage formats Collaboration & Leadership Collaborating closely … first approach Experience with API design (GraphQL, REST, or gRPC) Strong data modelling and system design skills Comfortable working with large datasets and ETL-style workflows Experience writing well-tested, maintainable code Ability to work autonomously and take ownership of complex systems Highly Desirable Experience with geospatial data and formats ...

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 ...