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You will take technical responsibility for evolving an existing reporting and analytics landscape into an integrated, scalable, and governance-compliant Data & Analytics platform based on Azure Databricks, SQL, and Power BI. In addition, you will shape innovative AI-supported analytics and automation solutions with a focus on Natural Language Analytics, Generative AI, and intelligent agents.
You will work closely with business stakeholders, platform owners, and external development partners to define target architectures, data models, integration standards, and governance principles. The objective is to build a sustainable data platform that enables harmonized KPIs, self-service analytics, and data-driven decision-making within the German organization.
This role offers career growth, visible impact and a chance to support our mission of uniting science, technology and talent to get ahead of disease together.
In this role you will
Own the definition, evolution, and implementation of the Data & Analytics target architecture for the German organization.
Evolve a heterogeneous reporting landscape into a centralized, harmonized data and analytics platform with consistent KPI definitions, self-service analytics, and AI-supported insights.
Design and steer modern data architectures based on Azure Databricks, SQL, Power BI, and relevant Azure services
Build and evolve scalable Lakehouse, data warehouse, and reporting architectures.
Define standards for data modelling, data quality, data governance, security, and sustainable operations of data solutions.
Provide technical steering, quality assurance, and architecture governance for external development and implementation partners.
Advise business functions on translating business requirements into sustainable technical solutions.
Identify and implement automation and AI opportunities using Microsoft Copilot Studio or comparable GenAI and agent platforms.
Develop an architecture vision for AI-supported analytics solutions, natural-language interfaces, and intelligent automation.
Assess new technologies and best practices in data, analytics, and AI with regard to their value for the German organization.
Why you?
Basic Qualifications & Skills:
We are looking for professionals with these required skills to achieve our goals:
Degree in computer science, data science, engineering or a related field, or equivalent experience
Significant hands-on experience as a Data Architect, Solution Architect, or Lead Data Engineer in analytics environments.
Strong expertise in SQL, data modeling, data warehousing, and reporting architectures.
Strong experience with Azure Databricks, Delta Lake, Lakehouse architectures, and ETL/ELT processes.
Very good knowledge of Power BI, semantic models, data visualization, and enterprise reporting.
Experience with Azure-related data services such as Azure Data Lake Storage Gen2, Azure Data Factory, Event Hubs, or Microsoft Purview.
Understanding of modern architecture principles such as Lakehouse, Medallion Architecture, data governance, and data products.
Experience with AI-supported technologies, ideally Microsoft Copilot Studio, Copilot capabilities in analytics platforms, or comparable GenAI solutions.
Experience in technically steering external development partners and service providers.
Strong communication and consulting skills.
Confident presence in cross-functional environments.
Excellent written and spoken English.
Closing Date for Applications – 19th of August 2026 (COB)
Please take a copy of the Job Description, as this will not be available post closure of the advert.
When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter, and CV will be used to assess your application.
Find out more:
#LI-GSK
Skills
Artificial Intelligence (AI), Big Data, Business Intelligence (BI), Cloud Computing, Data Analysis, Database Design, Data Modeling, Data Privacy, Data Quality Assessments, Data Security, Data Virtualization, Data Warehousing (DW), Machine Learning (ML), Metadata Management, Python (Programming Language)
Germany Salary Range / Gehaltsbandbreiten Deutschland: EUR 72,600 to EUR 121,000For positions covered by collective bargaining, employment conditions and remuneration are determined by the applicable collective agreements for the chemical industry as well as internal policies. More detailed information on compensation will be provided during the recruitment process. Depending on the role and internal policies, the position may also be eligible for a bonus (if applicable and based on defined, non-discretionary criteria) and/or awards for exceptional performance (granted at the employer’s discretion). All benefits arising from the applicable collective bargaining agreement, such as holiday allowance and additional paid time off, will be provided in full, in accordance with that agreement and German law. Other benefits may also be offered, which may include health & wellbeing benefits, pension plan and paid parental leave & care of family member leave.Für tarifgebundene Positionen richten sich Beschäftigungsbedingungen und Vergütung nach den jeweils geltenden Tarifverträgen der chemischen Industrie sowie internen Richtlinien. Weiterführende Informationen zur Vergütung werden während des Einstellungsprozesses zur Verfügung gestellt. Abhängig von der Rolle und internen Richtlinien kann die Position u.a. auch einen Bonus und Awards für außergewöhnliche Leistungen beinhalten. Ergänzend zu den tarifvertraglichen Leistungen, wie z.B. Urlaubsgeld und zusätzlichen Freistellungstagen, können weitere Benefits angeboten werden, beispielsweise eine Altersvorsorge, Health & Wellbeing Benefits sowie bezahlte Elternzeit und Pflegezeit.
Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at DE.Contact-Recruitment@gsk.com where you can also request a call.
Please note should your inquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive.
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to ethnicity, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
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