Data Processing Intern

Munich, Germany, Germany | Posted on 07/17/2026

CEPRES is the leading and fastest growing digital investment platform for private capital markets, an institutional asset class which became very relevant in global investment portfolios of sovereign wealth fund, insurances, pension plans and others. This global institutional client base benefit from our award-winning investment solutions for their investment activities while we connect via the CEPRES platform thousands of professionals to the largest private investment network worldwide.

CEPRES GmbH / Corp is headquartered in Munich and New York, with additional offices in Denver, Chicago, London, Heidelberg, Singapore and several locations in middle east. Our team is incredibly diverse with over 20 nationalities globally. We value smart and innovative people who also work effectively in a team environment and who are global players.

KeyResponsibilities

• Supportingestionandbasiccleansingofstructureddatasetsfrominternalandexternalsources.
• Assistwithdataentry,validationchecks,andqualityreviewsunderanalystsupervision.
• Helpdocumentdataflows,processingsteps,andsystemconfigurations.
• Runpredefinedqueriesandscriptstoextractdataasinstructed.
• Participateinrequirements-gatheringsessionsandtakemeetingnotes.
• Flaganomaliesorinconsistenciesindatatoseniorteammembers.

Requirements

• PursuingorrecentlycompletedadegreeinComputerScience,InformationSystems,BusinessInformatics,Mathematics, Business Administration, Economy, Finance orarelatedfield.
• Foundationalunderstandingofrelationaldatabases(e.g.,whatatable,row,column,andprimarykeyare).
• Interest in Corporate Finance, especially the Private Equity industry (Financial Statements, Private Market Transactions, etc.)
• BasicfamiliaritywithSQL —abilitytowritesimpleSELECTstatements.
• Exposuretoatleastonesoftwareenvironment(e.g.,Excel,Python basics,oranyscriptingtool).
• Abilityto createanduseagents/skillsonClaude,Gemini,CoPilotetc.
• Abilitytofollowwrittentechnicalspecificationsandprocessdocumentation.
• Willingnesstolearnandaskquestionsinastructuredworkenvironmentand“cando”attitude.

Nice to Have

• Introductory knowledge of data quality or data governance concepts.
• Familiarity with version control basics (e.g., Git).
• Prior coursework or project work involving data pipelines or ETL concepts.
• Hands-onexposuretorealfinancialdataprocessingworkflows.
• Mentoringfromexperienceddataanalystsandengineers.
• Structuredonboardingandaclearlearningpath.
• Potentialforconversiontoafull-timeAnalystrolebasedonperformance

At CEPRES, we're committed to creating an inclusive environment for all. We celebrate diversity and encourage applicants from all backgrounds, experiences, and perspectives to apply.