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Senior Analytics Engineering Manager(m/w/x)
Designing and governing core data models for a European digital real estate tech company. 5-8 years analytics engineering experience required. Part-time working, flexible hours.
Anforderungen
- 5–8 years analytics engineering/data engineering experience
- 2–3 years people management experience
- Deep dbt expertise (Core or Cloud)
- Advanced dbt modeling, macros, testing, documentation
- Strong SQL skills
- Cloud data warehouse fluency (Snowflake, BigQuery, Databricks)
- E-commerce or retail data domain experience
- Experience with orders, returns, inventory data
- Experience with customer lifetime value data
- Experience with product performance data
- Experience with digital funnels data
- Track record building high-trust data products
- Well-documented, tested data products
- Data product adoption by stakeholders
- Experience managing stakeholder relationships
- Translating ambiguous business questions to data work
- Strong written communication skills
- Strong verbal communication skills
- Conveying technical concepts to non-technical audiences
- Experience with semantic/metrics layer
- Familiarity with real-time data pipelines
- Familiarity with near-real-time data pipelines
- Retail use case data pipelines (inventory, price)
- Exposure to ML feature engineering
- Working with data science teams on shared infrastructure
- Experience with BI tools (Looker, Tableau, Metabase)
- Understanding of modeling impact on reporting performance
Aufgaben
- Lead and grow a team of analytics engineers
- Provide mentorship and technical direction
- Design and govern core data models
- Define standards for dbt project structure
- Enforce testing, documentation, and code review
- Drive adoption of semantic layer for KPI definitions
- Collaborate with merchandising, marketing, finance, and operations
- Translate business requirements into data models
- Establish and track data SLAs
- Lead incident response for data quality issues
- Evaluate and evolve modern data stack
- Represent analytics engineering in cross-functional planning
- Participate in roadmapping and executive stakeholder conversations
Berufserfahrung
- 5 - 8 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- dbt
- Snowflake
- BigQuery
- Databricks
- Looker
- Tableau
- Metabase
Benefits
Sonstige Vorteile
- Reasonable adjustments
Flexibles Arbeiten
- Part-time working
- Flexible working
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Senior Analytics Engineering Manager(m/w/x)
Designing and governing core data models for a European digital real estate tech company. 5-8 years analytics engineering experience required. Part-time working, flexible hours.
Anforderungen
- 5–8 years analytics engineering/data engineering experience
- 2–3 years people management experience
- Deep dbt expertise (Core or Cloud)
- Advanced dbt modeling, macros, testing, documentation
- Strong SQL skills
- Cloud data warehouse fluency (Snowflake, BigQuery, Databricks)
- E-commerce or retail data domain experience
- Experience with orders, returns, inventory data
- Experience with customer lifetime value data
- Experience with product performance data
- Experience with digital funnels data
- Track record building high-trust data products
- Well-documented, tested data products
- Data product adoption by stakeholders
- Experience managing stakeholder relationships
- Translating ambiguous business questions to data work
- Strong written communication skills
- Strong verbal communication skills
- Conveying technical concepts to non-technical audiences
- Experience with semantic/metrics layer
- Familiarity with real-time data pipelines
- Familiarity with near-real-time data pipelines
- Retail use case data pipelines (inventory, price)
- Exposure to ML feature engineering
- Working with data science teams on shared infrastructure
- Experience with BI tools (Looker, Tableau, Metabase)
- Understanding of modeling impact on reporting performance
Aufgaben
- Lead and grow a team of analytics engineers
- Provide mentorship and technical direction
- Design and govern core data models
- Define standards for dbt project structure
- Enforce testing, documentation, and code review
- Drive adoption of semantic layer for KPI definitions
- Collaborate with merchandising, marketing, finance, and operations
- Translate business requirements into data models
- Establish and track data SLAs
- Lead incident response for data quality issues
- Evaluate and evolve modern data stack
- Represent analytics engineering in cross-functional planning
- Participate in roadmapping and executive stakeholder conversations
Berufserfahrung
- 5 - 8 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- dbt
- Snowflake
- BigQuery
- Databricks
- Looker
- Tableau
- Metabase
Benefits
Sonstige Vorteile
- Reasonable adjustments
Flexibles Arbeiten
- Part-time working
- Flexible working
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
AVIV Group
Branche
RealEstate
Beschreibung
Das Unternehmen gestaltet die Art und Weise neu, wie Menschen in Europa und im Nahen Osten Immobilien kaufen, verkaufen, mieten und bewerten.
Noch nicht perfekt?
- Awin
Data Engineering Manager(m/w/x)
Vollzeitmit HomeofficeManagementBerlin, Hannover, München - Statista
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Vollzeitmit HomeofficeSeniorBerlin