4 of 4 Data Modelling Jobs in Kings Langley

Senior Data Engineer (SQL, Python, Fabric, ) Hybrid (2 days in Office) Location: Hertfordshire/WD4 Salary: £65,000+/20% Bonus/Hybrid/Gym on site/25 days Holiday Prize Placements are currently working alongside a global leader who are looking to recruit a Senior Data Engineer with expertise working with MS Fabric, SQL and Python. We are looking for an experienced engineer who can drive the automated data pipeline development process, starting from requirements gathering, data extraction & loading, through to data modelling, reporting, and ultimately supporting the business. ...

Data Engineer (Snowflake & Data Pipelines) SQL/PYTHON Company: Prize Placements | Location: [Hertfordshire/Remote/Hybrid] | Type: Permanent | Reports to: [Head of Data/Engineering Manager] About the Role We are looking for a hands-on Data Engineer to own and develop backend data pipelines. This is a backend engineering role: you will ingest data from a wide range of sources, load it reliably into Snowflake, and make sure it is fresh, monitored and trustworthy. Key Responsibilities Design, build and maintain robust ELT/ETL pipelines that load data into Snowflake ...

Data Engineer (Snowflake & Data Pipelines) Company: Prize Placements | Location: [Hertfordshire/Remote/Hybrid] | Type: Permanent | Reports to: [Head of Data/Engineering Manager] About the Role We are looking for a hands-on Data Engineer to own and develop backend data pipelines. This … backend engineering role: you will ingest data from a wide range of sources, load it reliably into Snowflake, and make sure it is fresh, monitored and trustworthy. You will work closely with analysts and BI colleagues who consume the data, but building dashboards and reports ...

good software engineering, because underneath the domain is a big distributed-systems problem - with orchestration at scale, scheduling around scarce resources, content-addressed caching, data engineering, and correctness problemsYou will own the application-layer design: the orchestration logic, task/flow abstractions, data models, and the interfaces those … Apply solid software design principles (SOLID, separation of concerns, composition over inheritance) to keep orchestration code maintainable as complexity grows. Define clear, strongly-typed data contracts between pipeline stages (e.g. using Pydantic or similar), favoring lightweight references/pointers over passing large payloads through the orchestration layer. Design retry ...