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Data Engineer

Data Engineer

Senior Expert / Senior Principal PKS Data Scientist & Scientific Software Engineer (Dual level posting)

Novartis

Basellead

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Role description

Summary
Location: Basel, Switzerland

Internal Title: Senior Expert II Data Science or Senior Principal Data Science

The Senior Data Scientist & Scientific Software Engineer will join the Modeling & Simulation Data Science team within the Translational Medicine Unit to help advance data-driven drug discovery. The role is focused on transforming large-scale ADME, PK, and related experimental datasets into actionable insights through advanced analytics, machine learning, and robust software engineering. Partnering closely with pharmacokinetic sciences (PKS) scientists, Data & Digital teams, and cross-functional stakeholders, this position will drive the development of scalable analytical applications, reusable computational workflows, and decision-enabling in silico solutions that accelerate lead optimization and strengthen scientific decision making.

About The Role
200+ experimental datasets are generated every day in the Pharmacokinetic Sciences (PKS) department at Novartis Biomedical Research. This role sits at the center of efforts to unlock the value of these data for decision making and to shape the future of medicine through advanced data science.

As Senior Expert II / Senior Principal Data Scientist & Scientific Software Engineer, you will join the Modeling & Simulation Data Science team in the Translational Medicine Unit and work at the intersection of data science, software engineering, and drug discovery. You will apply machine learning, statistics, and modern software development practices to harness ADME and PK data, uncover structure-property relationships, and translate scientific and business needs into scalable, strategically aligned solutions.

You will collaborate closely with Data & Digital and PKS wet- (ADME and bioanalytical) and dry-lab (modeling) teams to identify opportunities where data, applications, and in silico methods can meaningfully improve decision quality, efficiency, and scientific impact. In addition to hands-on technical delivery, you will help shape and champion fit-for-purpose solutions that are robust, reusable, and maintainable in a production setting.

This role is ideal for a scientifically grounded data scientist who combines strong analytical depth with practical software engineering expertise, and who is motivated by delivering measurable impact in drug discovery through high-quality data products, machine learning, and computational innovation.

Key Responsibilities

  • Senior Principal: Act as a senior Modeling & Simulation Data Science representative on discovery and lead optimization programs, contributing scientific and strategic input to project discussions and decisions, and helping shape data science direction across programs. Senior Expert II: Act as a key Modeling & Simulation Data Science representative on discovery and lead optimization programs, providing expert scientific input and contributing to project discussions and decisions.
  • Senior Principal: Partner with Data & Digital and PKS wet- and dry-lab teams to identify priority gaps, clarify business needs, and translate them into strategically aligned analytical and computational solutions with broad scientific and operational impact. Own the
  • Senior Expert II: Partner with Data & Digital and PKS wet- and dry-lab teams to identify priority gaps, clarify business needs, and translate them into high-impact analytical and computational solutions for projects and platforms.
  • Design, build, and maintain scalable applications, workflows, and data pipelines that support scientific analysis and decision making across projects and modalities.
  • Develop, evaluate, and deploy machine learning and statistical models to uncover relationships between chemical structure and molecular or pharmacokinetic properties.
  • Apply data mining, visualization, and exploratory analysis to derive insight from complex experimental datasets and communicate findings clearly to diverse stakeholders.
  • Senior Principal: Create and implement project- or modality-specific in silico models and data strategies that accelerate and streamline compound progression decisions while informing broader scientific direction and capability development.
  • Senior Expert II: Create and implement project- or modality-specific in silico models and data approaches that accelerate and streamline compound progression decisions.
  • Write production-quality code following strong software engineering practices, including version control, testing, documentation, and maintainability standards.
  • Senior Principal: Lead and shape cross-functional initiatives across data science, software engineering, and laboratory teams, driving strategic alignment and organizational impact.
  • Senior Expert II: Contribute to and coordinate cross-functional initiatives across data science, software engineering, and laboratory teams to deliver high-quality solutions.
  • Senior Principal: Promote and champion the broad adoption of in-house tools, applications, and data science methods, helping shape best practices and strengthen data science capabilities across Translational Medicine and PKS.
  • Senior Expert II: Promote the adoption and effective use of in-house tools, applications, and data science methods across projects and teams to maximize scientific impact.
  • Senior Principal: Stay current with advances in AI/ML, statistics, and computational methods relevant to ADME, PK/PD, and drug discovery, and proactively evaluate and bring appropriate innovation into practice to improve efficiency and scientific impact.
  • Senior Expert II: Stay current with advances in AI/ML, statistics, and computational methods relevant to ADME, PK/PD, and drug discovery, and help bring appropriate innovation into practice within projects and workflows.

Essential Requirements

  • Advanced degree in a relevant scientific or quantitative field such as cheminformatics, bioinformatics, biomedical engineering, computational biology, computational chemistry, AI/ML in life sciences, or a related discipline.
  • Senior Principal: PhD with 5+ years or MSc with 8+ years of relevant work experience applying data science in drug discovery, translational research, or related scientific environments, with a track record of leading complex initiatives and influencing scientific direction.
  • Senior Expert II: Relevant work experience applying data science in drug discovery, translational research, or related scientific environments, with a strong record of independent technical contribution and expert delivery in collaborative settings.
  • Senior Principal: Strong expertise in machine learning, statistics, and reproducible data science workflows, with demonstrated ability to apply them to complex scientific problems and guide others in their effective use.
  • Senior Expert II: Strong expertise in machine learning, statistics, and reproducible data science workflows, with demonstrated ability to apply them independently to real scientific problems.
  • Proficiency in Python and/or R, with solid software development practices including version control, testing, documentation, and production-quality coding standards.
  • Senior Principal: Experience designing, developing, and deploying robust analytical applications, computational workflows, or machine learning systems, including shaping reusable solutions and technical direction in collaborative environments.
  • Senior Expert II: Experience designing, developing, and deploying robust analytical applications, computational workflows, or machine learning systems in collaborative environments.
  • Senior Principal: Demonstrated ability to work across multidisciplinary teams, influence stakeholders, and translate complex analytical concepts into clear, actionable insights for scientists, partners, and leaders.
  • Senior Expert II: Demonstrated ability to work across multidisciplinary teams and translate complex analytical concepts into clear, actionable insights for scientists and stakeholders.
  • Senior Principal: Strong communication, collaboration, and leadership capabilities, with demonstrated ability to influence decisions and help shape direction in cross-functional settings.
  • Senior Expert II: Strong communication and collaboration capabilities, with the ability to influence project decisions in cross-functional settings.
  • Senior Principal: Excellent understanding of drug discovery processes, with particular relevance to ADME, pharmacokinetics, pharmacodynamics, or related translational data domains, and ability to articulate the impact and value of data science in strategic terms.
  • Senior Expert II: Good understanding of drug discovery processes, with particular relevance to ADME, pharmacokinetics, pharmacodynamics, or related translational data domains, and ability to apply data science effectively to relevant scientific problems.

Desirable Requirements

  • Experience with discovery-stage PK modeling, ADME data interpretation, or relating preclinical properties to in vivo pharmacokinetic behavior.
  • Familiarity with modern machine learning approaches such as deep learning, generative algorithms, or explainable AI in drug discovery contexts.
  • Experience with modern scientific software or web application development frameworks, including JavaScript-based front-end technologies (e.g., Svelte).
  • Knowledge of SQL, databases, Linux-based environments, and scalable data engineering patterns for scientific workflows.
  • Experience working with small molecules, peptides, RNAs, or other modalities in discovery-stage data analysis.

This is a dual posting. The final level & title of the offer role would be determined by the hiring team based on the skills, experience & capabilities required to perform the role at the level the role has been offered

Benefits & Rewards
At Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen.

Expected Annual Base Salary Range For Role

  • Senior Expert: 102,200.00 - 189,800.00 CHF Annual
  • Senior Principal: 129,500.00 - 240,500.00 CHF Annual

The base salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically.

In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters.

The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and minimum 14 weeks paid parental leave.

In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. Long-term equity awards granted at group level may also be part of your package. Further details will be provided during the application process.

Pay equity is a fundamental principle of our employment policy and reflects our commitment to create a diverse, equitable and inclusive environment that treats all employees with dignity and respect, as outlined in our Code of Ethics.

Read our brochure to learn more about our global total rewards offering:

https://www.novartis.com/sites/novartis\_com/files/novartis\-life\-handbook.pdf

Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process.
Commitment to Diversity and Inclusion / EEO
Novartis is committed to building an outstanding, inclusive work environment and diverse teams’ representative of the patients and communities we serve.

Accessibility and accommodation
Novartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to receive more detailed information about the essential functions of a

position, please send an e-mail to diversity.inclusion_ch@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Why Novartis:
Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people\-and\-culture

Benefits and Rewards:
Learn about all the ways we’ll help you thrive personally and professionally.

Read our handbook (PDF 30 MB)

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Data Engineer

Werkstudent:in Digital Business Solutions - Data Analytics 40-60%

Gruner

Basel

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Role description

Tätigkeiten und Verantwortung

  • Erstellung, Weiterentwicklung und Pflege von Dashboards und Reports
  • Mitarbeit beim Aufbau und der Optimierung von ETL-Prozessen und Datenmodellen
  • Unterstützung bei der Weiterentwicklung der Analytics-Plattform auf Basis von Microsoft Fabric
  • Erstellung von Reports mit Qlik Sense und NPrinting
  • Mitarbeit beim ergänzenden Aufbau von Power BI als zusätzliche Reporting- und Dashboard-Lösung
  • Zusammenarbeit mit Fachbereichen zur Anforderungsaufnahme und Umsetzung

Das bringen Sie mit

  • Laufendes Hochschulstudium (z. B. Data Science, Wirtschaftsinformatik, Informatik oder vergleichbar)
  • Schnelle Auffassungsgabe für technische und prozessuale Zusammenhänge
  • Strukturierte, selbstständige und lösungsorientierte Arbeitsweise
  • Interesse an Datenmodellierung, ETL-Prozessen und Business Intelligence
  • Erste Erfahrung mit BI-Tools (z. B. Qlik, Power BI) oder SQL von Vorteil
  • Gute Kommunikations- und Koordinationsfähigkeit
  • Sehr gute Sprachkenntnisse in Deutsch und Englisch, weitere Sprachen von Vorteil

Über Gruner
Gruner plant und baut für eine lebenswerte Zukunft
Mit Leidenschaft und Fachkompetenz entwickeln wir nachhaltige Lösungen für anspruchsvolle Bauprojekte in den Bereichen Hochbau, Infrastruktur und Energie. Unsere 1'100 Mitarbeitenden arbeiten an über 35 Standorten in der Schweiz und weltweit eng mit unseren Kunden zusammen, um Projekte effizient und innovativ umzusetzen. Dabei stehen Umweltbewusstsein, digitale Innovationen und die Förderung einer starken Unternehmenskultur im Fokus.

Bei Gruner erleben Sie ein dynamisches Arbeitsumfeld, in dem Teamgeist und persönliche Entwicklung grossgeschrieben werden.

Gruner Profil

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Manager - Artificial Intelligence & Data - (Data Management & Data Platforms focus)

Deloitte

Basel

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Role description

Job Description
Location:
Basel, Geneva, Zurich

Work Pattern Percentage:
80-100%

Help our clients navigate the future with confidence and embrace decision making with clear data-driven choices
Deloitte AI & Data helps clients unlock the power of AI and data to deliver better human-centric solutions that catalyse growth and efficiencies. We enable them to leverage data, analytics, modern platforms, and data science & AI technologies to uncover hidden relationships from vast troves of data, generate insights, and inform their decision-making.

We help clients transform their business by designing and implementing data solutions to excel in their markets. Our role is to understand their business problems and use data-driven thinking and technology to achieve outcomes that drive their business forward.

How You Can Make An Impact

  • Work with our clients to modernise their digital landscape using next-generation cloud-based platforms and big data architectures to ensure high data quality
  • Design and implement modern data solutions in the areas of data management (e.g. data quality, master and reference data, catalogues, data platforms) that deliver high-quality, usable data
  • Develop data strategies that allow our clients to reach their business objectives across regulatory, cost, and revenue pillars.
  • Design complex data & analytics transformations by providing architectural, technical and organizational thought leadership and guide clients in executing these transformations, which have significant organizational implications.
  • Take responsibility for the holistic management of projects, i.e. from advisory and conception to implementation and introduction of the solution at the customer's site.
  • Develop and maintain trusted client relationships through project work or business development and expand your network both internally and externally.
  • Define go-to-market strategies for our strategic topics together with our leadership and drive them forward.
  • Play a central role with our existing focus customers and establish new customer relationships by responding to customer needs, further expanding existing projects and showing market presence (thought leadership on Linkedin, at conferences or customer events).
  • Be part of interdisciplinary and cross-functional teams for the delivery of data management / engineering solutions in a fast-paced and collaborative environment.
  • Share your knowledge with younger colleagues and help them to develop professionally and personally

What We Are Looking For:
Drive and Motivation:

  • Passionate individuals looking to make a career in Consulting.
  • Experience in leading Data & Analytics teams and projects and track record of working effectively in multidisciplinary teams.

Consulting and Communication Skills:

  • Management skills: Ability to manage several projects at once and manage conflicting priorities
  • Selling skills: Experience in the marketing and sale of consulting or project services
  • Strong Presentation skills: Ability to design and shape meaningful presentations.
  • Strong Conceptual Capability: Ability to consolidate diverse requirements into coherent solution designs, simplifying complex problems.
  • Business-IT Translator: Ability to act as the bridge between business needs and technical solutions.

Technical Expertise in one of the following two:

Data management:

  • Several projects implementing master data management, data quality, reference data or catalogue solutions.
  • Leading nearshore/offshore teams on implementations.
  • Hands-on experience from vendor selection to implementation and operation of solutions.
  • Hands-on expertise working with solutions from one or more of the following vendors (Collibra, Informatica, Azure, GCP).

Cloud-based data platforms:

  • Several projects in implementing data lakehouses.
  • Leading nearshore/offshore teams in implementations.
  • Hands-on experience across the entire journey from vendor selection to implementation and operation of solutions.
  • Hands-on expertise in working with solutions from one or more of the following vendors (Azure, GCP, AWS, Snowflake, Databricks).
  • Hands-on knowledge of common development methodologies.
  • Hands-on expertise in designing and documenting data and technical architecture for these platforms
  • Ability to articulate hybrid data architectures / options to senior stakeholder groups and to develop and present / defend a point of view

Language Proficiency:

  • Fluent in English; fluency in German and/or French is highly preferred to facilitate communication with diverse teams and stakeholders.

Industry Experience:

  • You have 6 or more years of relevant professional experience in a technical or strategic role in the areas of data governance, data management, data engineering or analytics gained in a consultancy, tech company or industry.

Your team
Become part of a diverse and multinational team of 50+ highly motivated individuals located in our Zurich, Geneva, or Basel offices. We specialise in AI & data – how to structure it, how to source it, how to transform it, how to store it, and how to consume it. Join our fast-paced and fun team, working alongside highly talented colleagues on varied and exciting projects, with access to excellent and continuous learning opportunities.

Deloitte AI & Data is the leading data & analytics consulting team in Switzerland. You will have a chance to work with outstanding colleagues and have access to variety of clients, vendors, and technologies. Our business is growing fast and there are plenty market opportunities to develop career in the direction that you want.

We will help you grow both personally and professionally: through our trainings, mentoring programmes, and on-the-job learning, but also by working with clients and vendors across different industries.

Careers at Deloitte. Choose your impact.
At Deloitte, your ideas create impact and spark meaningful change for our clients, people and society. Your unique expertise, background and perspective helps us find new ways into the most complex challenges so we can brighten the futures of those our work affects. At Deloitte, you can build a career that inspires and energises you. At Deloitte, you can choose your impact.

In Switzerland, we provide industry-specific services in the areas of Audit & Assurance, Tax & Legal, Strategy, Risk & Transactions Advisory, and Technology & Transformation. With close to 3,000 employees at six locations, we serve companies and organisations of all sizes in all industry sectors.

We offer meaningful and challenging work, an inclusive and supportive environment where you can be your best self and where you will never stop growing. You will benefit from flexible and hybrid working conditions, wellbeing and parental programmes as well as many opportunities to connect, collaborate and learn. Join us and become part of a global network of like-minded people dedicated to making a difference, whether by addressing climate change or improving 100 million futures by 2030. Want to know more about opportunities at Deloitte? Visit www.deloitte.com/ch/careers .

How To Apply
We look forward to hearing from you! Please click on “apply now” to submit a complete application, including CV, cover letter, references and degree certificates. If you have any questions, please contact Aarabi at talent@deloitte.ch

  • We consider all qualified applicants for employment regardless of race, ethnicity, religious beliefs, gender, sexual orientation, gender identity, national origin, age or disability, in accordance with applicable law. Research shows that women are less likely to apply for roles unless they match all the criteria; don’t hold yourself back – apply today.

We do not accept applications from recruitment agencies for this position.

Deloitte Consulting AG and Deloitte AG are affiliates of Deloitte NSE LLP, a member firm of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee (“DTTL”)

Requisition ID: 19196

Data Management & Data Platforms

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Data Engineer

Product Manager, AI Analytics, Trust and Verification

Google

Zurichsenior

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Role description

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience in product management or related technical role.
  • 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).
  • Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications:

  • Master's degree in a technology or business related field.
  • 3 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
  • Proven track record of successfully launching and scaling data products or platform features in a fast-paced environment.
  • Ability to think strategically and translate complex agentic or workflow concepts into concrete product requirements.
  • Strong analytical capabilities, with a demonstrated ability to define metrics, construct evaluation frameworks, and interpret complex data telemetry.

About the job

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

Responsibilities

  • Lead the discovery and development of new tools, skills, and sub-agents that address the evolving needs of teams navigating critical data journeys.
  • Build out and operationalize the necessary evaluation frameworks (evals) and analytics to ensure each journey improves the velocity and precision of Google's data insights.
  • Conduct research and analysis to identify emerging trends and opportunities in the agentic data space.
  • Drive cross-functional collaboration across teams to ensure successful product launches, adoption, and integration.
  • Communicate effectively with stakeholders at all levels, including engineers, analysts, executives, and internal product partners.
    Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Data Engineer

Senior Data Engineer / Data Warehouse Architect

Zuger Kantonalbank

Baarsenior

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Role description

Bei der Zuger Kantonalbank zählen Mut, Leistungsbereitschaft und Engagement. Wir suchen Persönlichkeiten, die Verantwortung übernehmen und gemeinsam mit uns ambitionierte Ziele verwirklichen. Als führendes Finanzinstitut im Kanton Zug bieten wir ein dynamisches Umfeld mit einer spannenden, lokalen und internationalen Kundschaft. Mit innovativen Angeboten und einem starken Teamgeist ermöglichen wir es dir, mitzugestalten, über dich hinauszuwachsen und Erfolge direkt mitzuerleben.

Wir suchen in Baar eine/n:

Senior Data Engineer / Data Warehouse Architect

Deine Aufgaben:

Als Senior Data Engineer / Data Warehouse Architect wirkst Du als fachlicher Lead für Data-Warehouse-Engineering und Architektur und bist technische/r Sparringspartner/in der Teamleitung bei Modellierungs-, Integrations- und Plattformentscheidungen. Du verbindest fachliche Tiefe in Data-Modellierung mit technologischem Weitblick und gestaltest die Basis für eine moderne, zukunftssichere Datenarchitektur. Im Zentrum stehen dabei eine starke Data-Vault-2.0-Architektur, hohe Standards in Modellierung und Integration sowie die technische Weiterentwicklung unserer Plattform in Richtung moderner Zielarchitekturen wie Databricks oder Snowflake mit Perspektive auf zukünftige AI- und Advanced-Analytics-Anwendungen.

  • Du prägst die Architektur und technologische Ausrichtung unseres Data Warehouses und setzt die Leitplanken für nachhaltige technische Entscheidungen
  • Du entwickelst unsere Data-Vault-2.0-Kernarchitektur weiter und schaffst damit die Grundlage für verlässliche, fachlich belastbare und erweiterbare Datenstrukturen
  • Du übernimmst fachliche Führung in komplexen Engineering-Fragestellungen, führst Reviews durch, etablierst Best Practices und stellst sicher, dass Architektur- und Entwicklungsstandards im Team wirksam umgesetzt werden
  • Du definierst verbindliche Standards für Modellierung, Architektur und Entwicklung und sorgst für Konsistenz über alle DWH- und Integrationsschichten hinweg
  • Du entwickelst und optimierst robuste ETL/ELT-Prozesse auf Basis von Azure Data Factory und SQL kontinuierlich weiter
  • Du stellst Datenqualität, Historisierung und Performance über den gesamten Datenlebenszyklus sicher
  • Du erweiterst die CI/CD-Pipelines, automatisierst Tests und gestaltest effiziente Deployment-Strategien
  • Du bist technische Ansprechperson für Product Owner und Fachbereiche bei allen Data-Warehouse- und Integrationsfragen
  • Du erkennst technologische Chancen frühzeitig, evaluierst moderne Plattformen und leitest dar-aus umsetzbare Architekturpfade für unsere bestehende DWH-Landschaft ab
  • Du arbeitest eng mit BI- und Reporting-Teams zusammen, um stabile und nutzerfreundliche Datenstrukturen bereitzustellen

Unsere Anforderungen:

  • Mehrjährige Erfahrung als Senior Data Engineer, Data Warehouse Architect oder in vergleich-barer Senior-Rolle
  • Du hast nachweisbare Erfahrung in der Analyse und Lösung komplexer produktiver DWH-/ETL-Probleme und kannst zwischen kurzfristiger Stabilisierung, sauberer Architektur und langfristiger Modernisierung abwägen
  • Tiefes Know-how in Data Vault 2.0 und datenorientierter Modellierung mit sauberer Historisierung und belastbaren Best Practices
  • Erfahrung mit Dimensional Modeling für Reporting-Schichten
  • Fundierte Kenntnisse in relationaler Datenmodellierung und Datenintegrationsarchitekturen
  • Umfassende Azure-Erfahrung (Azure Data Factory, SQL Database, Storage, Azure DevOps)
  • Erfahrung mit oder ausgeprägtes Interesse an modernen Datenplattformen wie Databricks und/oder Snowflake. Entsprechendes Know-how ist ein klarer Pluspunkt
  • Freude daran, eine Datenplattform mit Blick auf Zukunftsthemen wie AI, Advanced Analytics und moderne Architekturen aktiv mitzugestalten
  • Sehr gute SQL-Kenntnisse und Praxis in komplexen, produktiven ETL/ELT-Pipelines
  • Du etablierst Engineering-Standards, führst Code- und Architektur-Reviews durch und stellst eine hohe technische Qualität über den gesamten Entwicklungs- und Betriebszyklus sicher
  • Architektonisches Denken mit Fokus auf Stabilität, Skalierbarkeit und Zukunftssicherheit
  • Strukturierte Arbeitsweise, hohe Eigenverantwortung und exzellente Kommunikationsfähigkeit
  • Sehr gute Deutschkenntnisse

Bereit für den nächsten Schritt:

Bei der Zuger Kantonalbank erwarten dich attraktive Konditionen und ein Umfeld, das deinen Erfolg unterstützt. Wir bieten dir eine attraktive Vergütung mit Erfolgsbeteiligung, exklusive Bankprodukte und eine solide Altersvorsorge. Flexible Arbeitsmodelle ermöglichen es dir, Karriere und Privatleben bestmöglich zu balancieren.

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Senior Expert / Senior Principal PKS Data Scientist & Scientific Software Engineer (Dual level posting)Novartis · Switzerland

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