2 of 2 Data Pipeline Jobs in Slough

JoinusasaDataPlatformEngineerforourclient. AtPeregrine,werealwaysseekingSpecialistTalentthathavetheidealmixofskills,experience,and attitude,toplacewithourvastarrayofclients.FromBusinessAnalystsinlargegovernment organisationstoSoftwareDevelopersintheprivatesectorwearealwaysinsearchofthebest talenttoplace,now. HowSpecialistTalentWorks AtPeregrine,wefindthebesttalentforourclients.AsapermanentemployeeofPeregrine,with accesstoallourstandardbenefits,youwillbedeployedacrossourportfolioofclientsasaspecialistconsultant,workingonawidearrayofcomplexprojectsacrossmultipleindustries. TheRole: AsaDataPlatformEngineerinahighlyregulatedenvironment,youwillberesponsiblefordesigning,building,andmaintainingsecureandscalabledatainfrastructurethatsupportsbothcloudandonpremisesplatforms.Youwillplayakeyroleinensuringthatalldatasystemscomplywithindustryregulationsandsecuritystandardswhileenablingefficientaccessforanalyticsandoperationalteams. AstrongcommandofApacheNiFiisessentialforthisrole.Youwillbeexpectedtodesign, implement,andmaintaindataflowsusingNiFi,ensuringaccurate,efficient,andsecuredata ingestion,transformation,anddelivery.Youshouldbeadeptatidentifyingandresolvingissues withinNiFiflows,managingperformancebottlenecks,andimplementingrobusterrorhandling strategies. Youllworkcloselywithcross-functionalteamsincludingdataarchitects,complianceofficers,and cybersecurityspecialiststointegratedatafromvarioussystemssuchasdatabases More ❯

the development and implementation of robust Lab/digital infrastructure within our R&D laboratories for the UK and US locations. This is pivotal in enabling efficient, automated data exchange between laboratory instruments and enterprise informatics systems such as Electronic Lab notebooks (ELN)s, Laboratory Information Management Systems (LIMS) and other relevant data setups. The ideal … implement, and maintain secure, scalable IT/OT interfaces between lab instruments (e.g., bioreactors, plate readers, liquid handlers) and informatics systems (ELN, LIMS, SDMS, etc.) Collaborate with IT, Data science and scientific teams in R&D to identify integration needs and define architecture for real-time or scheduled automated data transfer. Develop or configure middleware, APIs … and custom connectorseither in-house or in collaboration with external vendorsto enable automated data capture, contextualization, and storage. Manage instrument network connectivity (e.g., OPC-UA, MQTT, REST APIs, TCP/IP) and data pipelines from edge devices to cloud/on-premise environments. Support system validation efforts (e.g., CSV, 21 CFR Part 11 compliance) in partnership More ❯