Google Cloud Platform – Data Engineer (all genders) 80–100%, Basel

Data Ingestion & Integration

• You will develop robust ELT/ETL processes using Python, Cloud Functions, Dataform and Adverity.

• You will orchestrate data pipelines to connect and harmonise a wide variety of data sources – e.g. GA4, Adobe Analytics, Ads, Social, CRM, ERP or offline systems.

• You will structure data flows so that they are reliable, scalable and maintainable in the long term.

Data Transformation & Modelling

• You model and manage data in Google BigQuery – in a scalable, high-performance and cost-optimised manner.
   
• You design, implement and validate data-driven logic, KPIs and aggregations that accurately map operational and strategic business processes – e.g. sessions, funnels or attribution models.
   
• You think in terms of structures that grow with the business – maintainable, efficient and practical. In doing so, you think not only technically, but always from a solution-oriented customer perspective.

Data Serving & Activation

• You provide data specifically for analysis, reporting or activation – e.g. via structured views, snapshot tables or exports to target systems.

• You work closely with analysts, BI developers and data scientists to make insights usable and actionable.

• Optional: You assist with the visualisation of insights in Tableau or Power BI – tailored to the target audience and action-oriented.

• Optional: You support projects aimed at activating marketing data, e.g. for retargeting, CRM personalisation or audiences on media platforms.

Consulting & Enablement

• You will work closely with clients and projectmanagers, analyse requirements and develop data-driven solutions based on these.

• You will support analysts in the effective use of data, tools and technologies.

• You document your architecture, pipelines and KPIs clearly and maintainably.

Co-creation, Project Responsibility & Community

• You will take responsibility for (sub-)projects, working closely with projectmanagers and other stakeholders, and actively contribute to the project’s progress and success.

• You actively contribute your experience to the further development of our processes, tools and standards – technically, methodologically and culturally.

• You keep abreast of current developments in data architecture, modelling and activation, and engage with specialist communities – e.g. through meetups, conferences or internal knowledge-sharing formats.

Essential requirements

• In-depth knowledge of SQL, relational databases and modern cloud data warehouses (ideally with Google BigQuery)

• Excellent Python skills for ELT/ETL, data preparation and API integrations

• Experience with Dataform, dbt or similar transformation tools

• Familiarity with Git / Bitbucket and collaborative workflows

• Knowledge of GCP (including Cloud Functions, Cloud Run where applicable, Scheduler, IAM)

• Understanding of event- and session-based data structures (e.g. GA4, Adobe Analytics)

• Experience with data from digital marketing, CRM, ERP or offline systems

• Basic experience in project management and task planning (e.g. in Jira)

• Ability to present technical concepts in a way that is understandable to different audiences

• Analytical thinking, a structured approach to work and pragmatism in implementation

• German (C1/C2) and English (min. B2/C1)

Nice-to-haves

• Experience with Tableau, Power BI or Looker Studio (dashboard design and implementation)

• Experience with data science, advanced analytics, AI & machine learning – e.g. in scoring, attribution or forecasting

• Experience in setting up and operating cloud infrastructures on GCP – e.g. IAM, Scheduler, monitoring or cost control.

• Expertise in marketing & customer analytics – e.g. customer journeys, website/app usage, social media, advertising, CRM, newsletters

• Knowledge of digital analytics & tag management (e.g. GTM, Tealium, GA4)

• Experience with the activation of marketing data – e.g. through exports to CRM, CDP or media platforms

• Understanding of event- and session-based data structures (e.g. GA4, Adobe Analytics)

• Project experience in an agency environment or within cross-functional teams

• Hybrid working: You can flexibly combine working from home, working in the office and visiting clients as needed.

• Five weeks’ holiday: Plus an annual working time model that gives you real flexibility.

• Inspiring team: Interdisciplinary, open, friendly – with professional expertise, a sense of humour and plenty of team spirit.

• Diverse projects: Collaboration with leading companies across a wide range of industries.

• Targeted career development: With a clear competency model that offers you guidance and opportunities for growth.

• Structured onboarding: You’ll start with a systematic induction plan and be quickly integrated into the team.

• Regular development reviews: Personal progress reviews and individual development goals are part of the package here.

• Active involvement: You actively contribute your ideas to methods, tools and our corporate culture.

The roles, tasks and responsibilities at zweipunkt are varied. The demands on our employees' competences are correspondingly diverse. The framework for this is provided by our competency model, on which we base our role, task and job profiles as well as the assessment and planning of personal and professional development.

You should have the following for this role:

• You have demonstrable skills in digital analytics and already have experience and knowledge of the above fields of action, tools and technologies.

• You have a passion for working with data and love to advise and support clients on data-related topics.

• You have a basic understanding of digital marketing topics as well as the networked activities on various marketing channels (e.g. social media, SEA/advertising, e-mail, SEO) and their influence on the success of a company.

• You can think in a networked way, find solutions where others only see problems and keep a cool head even in turbulent situations.

• You have strong self-management, social, communication and organisational skills, an interest in entrepreneurial topics and are motivated to actively shape and drive your professional and personal development.

• You have a solid command of German (C1/C2) and English (at least B2/C1), both written and spoken.