Capgemini

SAP consultant in data and analytics

In short

SAP consultant role at Capgemini designing and implementing vendor-independent, data- and AI-driven architectures using platforms like SAP, Databricks, Snowflake and Microsoft Fabric. Advises clients across the full lifecycle of data and AI system landscapes and develops analytics and planning solutions. Requires a relevant degree or equivalent experience, consulting experience in Data & Analytics, data engineering knowledge (SQL, Python, ETL/ELT) and German/English communication skills; SAP Data & Analytics or modern data platform knowledge is a plus. Hybrid work based in Berlin, full-time or part-time.

Description
The SAP Data & Analytics area at Capgemini is evolving and focusing on holistic, data- and AI-driven system and data architectures. The focus is on developing and implementing vendor-independent solutions across the entire data landscape.
Responsibilities
•Contributing to the evolution towards integrated, data- and AI-driven architectures.
•Designing and implementing vendor-independent data architectures using various platforms and technologies (e.g. SAP, Databricks, Snowflake, Microsoft Fabric).
•Advising customers throughout the entire lifecycle of data- and AI-enabled system landscapes—from strategy to implementation.
•Developing analytics and planning solutions, taking technological options and their potential applications into account.
•Using and integrating AI-enabled approaches to support development, testing and deployment, and collaborating in interdisciplinary teams.
Requirements
•A completed degree in IT, business or a technical field, or a comparable qualification or relevant professional experience.
•Experience in Data & Analytics in project or consulting contexts.
•Knowledge of or willingness to learn AI tools (e.g. generative AI applications).
•Knowledge of data engineering (e.g. SQL, Python, data modelling, ETL/ELT) and openness to various technologies and platforms.
•Ability to communicate appropriately for the audience in German and English.
Nice to have
•Knowledge in at least one area such as SAP Data & Analytics (e.g. Datasphere, BW/4HANA, SAC), modern data platforms (e.g. Databricks, Snowflake, Fabric) or planning & EPM (e.g. SAC Planning, Anaplan) is an advantage.
Conditions
•This position is available on a full-time or part-time basis.
•Hybrid work from the office, from home or from other Capgemini locations in Germany; flexible working arrangements.
•Wide range of development opportunities: career model, leadership programmes, learning platform.
•Active employee networks promoting diversity and inclusion.
•Flexible working hours and leave arrangements.
•Remote working—including hybrid work from home.
•Company bicycle programme.
•Mobility budget.
•Wide range of training and development opportunities.
•International network.
•Partnership with pme Familienservice.
•Deferred compensation—security for your retirement.
•Extended continued salary payment in the event of illness.
•Health and wellbeing offers.
•An attractive workplace for people with disabilities.
•FareWelcome contact-maintenance programme.
•Work-life balance.
•Employee discounts.
•Team and sports events.

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