SAP consultant in data and analytics

Capgemini; Berlin; Híbrido; EUR 65.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working hours

Remote/hybrid work options

Company bicycle programme

Mobility budget

Training and development opportunities

International network

Family service

Deferred compensation

Wellbeing benefits

Work-life balance

Employee discounts

Team and sports events

Descripción de la vacante

Capgemini is evolving its SAP Data & Analytics area to deliver holistic, vendor-independent data architectures across the data landscape. The team advises clients from strategy to implementation and develops analytics and planning solutions with AI-driven approaches.

The role requires a completed IT/business/technical degree or relevant experience, and proficiency in German and English for client interaction. A hybrid work setup and continuous development opportunities are offered.

Formación

• Completed degree in IT, business or technical field or comparable qualification/experience.
• Experience in Data & Analytics in project/consulting contexts.
• Willingness to learn AI tools (e.g. generative AI applications).
• Knowledge of data engineering (SQL, Python, data modelling, ETL/ELT).
• Ability to communicate in German and English.

Responsabilidades

• Contributing to evolution towards integrated, data- and AI-driven architectures.
• Designing and implementing vendor-independent data architectures using various platforms.
• Advising customers through lifecycle from strategy to implementation.
• Developing analytics and planning solutions considering options and applications.
• Using AI-enabled approaches to support development, testing and deployment, collaborating in interdisciplinary teams.

Conocimientos

Data analytics experience

Data engineering (SQL, Python)

AI tools knowledge

German language

English language

Communication skills

Educación

Bachelor's or Master’s degree in IT/business/technical field

Herramientas

Databricks

Snowflake

Fabric

SAP Datasphere

SAC

Anaplan

Descripción del empleo

Описание

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.

Задачи

• 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.

Требования

• 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.
• Будет плюсом: 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

Условия

This position is available on a full-time or part-time basis. We place great importance on work‑life balance. That is why you can work in a hybrid setup from the office, from home or from other Capgemini locations in Germany. Capgemini also offers flexible working arrangements.

• 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