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Engineering Team Lead - Data Engineering & Analytics (m/w/x)
Leading a team of 10 Data Engineers & Analytics specialists to unify B2B/B2C data capabilities and evolve target data architecture. Senior-level data engineering and architecture expertise required. Flexible hours, remote options, and annual learning budget.
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Anforderungen
- Senior-level expertise in Data Engineering and Data Architecture
- Designing and evolving complex Data platforms end-to-end
- Strong people leadership and coaching skills
- Inspiring and developing teams with different skill profiles
- Building ownership and driving change
- Staying close to technology and contributing hands-on
- Proven hands-on AI-first data engineering and analytics development
- Concrete examples of projects, repositories or workflows implemented or improved
- Strong understanding of Data Engineering, Analytics, and Data Products synergy
- Solving customer and business problems with data
- Creating measurable value with data
- Evolving and modernizing complex Data landscapes
- Balancing business continuity and long-term technical direction
- Strong practical experience with modern cloud Data platforms
- Experience with Snowflake and dbt is particularly valuable
- Azure Data Factory / Synapse, Power BI, Terraform, CI/CD experience is a plus
- Clear communication skills
- Strong stakeholder management across Engineering, Analytics, Product, Business and Enterprise Architecture
- Fluent English
- German language skills are a plus
Aufgaben
- Lead, coach, and develop a team of up to 10 Data Engineering & Analytics specialists
- Create clear ownership, strong collaboration, and a high-performance culture
- Bring B2B and B2C Data capabilities together under a shared direction
- Address different architectures, legacy, and modernization needs
- Define and evolve the target Data architecture
- Challenge existing approaches and establish standards
- Improve simplicity, scalability, maintainability, and cost efficiency
- Connect Data Engineering, Analytics, and Data Products
- Ensure reliable technical foundations translate into relevant insights and measurable value
- Lead the AI transformation within the teams
- Inspire engineers, build confidence, and establish new ways of working
- Drive AI-first data engineering and analytics development
- Introduce proven AI-assisted workflows across the engineering lifecycle
- Improve productivity, quality, and delivery speed
- Develop engineers towards broader technical and end-to-end ownership
- Distribute knowledge and solution responsibility across the team
- Work closely with Product, Business, and Enterprise Architecture
- Translate customer and business needs into sustainable Data capabilities and products
- Use meaningful engineering and business KPIs to continuously improve technical performance, team effectiveness, and business impact
Berufserfahrung
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Sprachen
Tools & Technologien
Benefits
- Flexible working hours
- Remote options
- Agile work environment
- Continuous learning
- Annual learning budget
- Access to cutting-edge technologies
- Company pension scheme
- Regular team events
- Diverse and international team culture
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens SAG Digital erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei SAG DigitalÜber das Unternehmen
SAG Digital drives digital innovation in the automotive aftermarket, operating e-commerce solutions, webshops, and apps for Swiss Automotive Group AG.
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