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A leading technology team is seeking an experienced Data Engineer to enhance data capabilities across cloud platforms. You will play a key role in building data pipelines and solutions for managing home energy devices. With a focus on collaboration and continuous learning, join us to drive innovative data solutions in an empowering environment.
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The chapter Technology & Engineering - Data & A
Berlin, Germany
Other
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Yes
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21.06.2025
05.08.2025
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About the team
The chapter Technology & Engineering - Data & AI Engineering represents all experts who deliver data and AI engineering capabilities to our product teams. These experts are organized together to enhance those functional skillsets, improve E.ON’s MLOps & AIOps tech stack and deliver a high level of data delivery & model automation.
The products you will be working on belong to our team Digital Solutions I Future Energy Home. This team develops and operates software to manage home energy devices such as photovoltaic, inverters, batteries, EV charging wall boxes, heat pumps and meters as a cloud-based solution for our central and local units so they can rollout those solutions to the end-customers. We integrate with numerous vendors’ devices and apply centralized insights, analytics and control mechanisms for these devices.
meaningful & challenging -Your tasks
Integratecrossclouds(AWS & Azure) DataPlatformPipelines,usingData Mesh and Data Fabricarchitectureconcepts
Implementdatasharinginterfacesorconnectorstosharebusinessdata(e.g. solartelemetry,electricvehiclechargingdata, …)toourregionalbusinessdataconsumers
BuildrobustdatapipelineapplicationswithAWS and AzuredataservicesusingsoftwareprinciplessuchasClean Codeand SOLIDprinciples
WorkcloselywithData SolutionsArchitectstounderstandandshapeoverarchingData Architecturefordatasharinginterfacesandconnectors
Mentor andcoachothers,conductpair-programmingsessionsand reviewmergerequestsaswellasactivecontributionto„CommunityofPractice“
authentic & ambitious -Your profile
At least 5yearsexperienceinbuildingenterprise-gradepythondatapipeline(ETL)applicationsusingsoftwarebestpracticessuchasClean Code/SOLIDprinciplesinAWS/Azure
At least 3yearsofexperiencein relevantAWS ServicesforData Engineering (e.g. Athena, Lambda,Glue, AWS IAM &Cloudwatch) and alsobackgroundin Azure
ProdoundknowledgeinDatabricks(e.g.PySpark),Snowflake, Python Pandas, Python-Pytestand PythonBehave.
ExperiencebuildingDataOpspipelineswithGitLab,Cloudformation, TerraformorCDK andusingorchestrationtools(e.g. AWSStepFunctions)
Preferableexperiencein Data ModellingConceptssuchasDataVault2.0 and Dimensional Data Modelling
Excellent communication skills and the ability to mentor andcoach other developers
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