AVIV Group
digital real estate tech
SeniorAnalyticsEngineeringManager
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“Senior Analytics Engineering Manager at AVIV Group. Skills: dbt, SQL, cloud data warehouse, analytics engineering, people management. Lead and grow a team of analytics engineers. Own the design and governance of the company's core data models”
What You'll Achieve.
enable consistent KPI definitions across all reporting surfaces; high-trust data products: well-documented, tested, and adopted by stakeholders across the business
Industry & Context.
translating ambiguous business questions into clearly scoped data work
What They're Looking For.
Must Have
5–8 years of experience in analytics engineering, data engineering, or a closely related field, at least 2–3 years in a people management role, Deep expertise with dbt (dbt Core or dbt Cloud), SQL skills, fluency with a cloud data warehouse (Snowflake, BigQuery, or Databricks preferred), Proven experience in e-commerce or retail data domains — orders, returns, inventory, customer lifetime value, product performance, digital funnels, Track record of building high-trust data products: well-documented, tested, and adopted by stakeholders across the business, Experience managing stakeholder relationships and translating ambiguous business questions into clearly scoped data work, written and verbal communication ability to convey technical concepts to non-technical audiences
Nice to Have
Experience implementing or operating a semantic/metrics layer (e. g. dbt Semantic Layer, Cube, MetricFlow), Familiarity with real-time or near-real-time data pipelines for retail use cases (inventory sync, price updates, etc.), Exposure to ML feature engineering or working alongside data science teams on shared data infrastructure, Experience with BI tools such as Looker, Tableau, or Metabase, and understanding of how modeling choices affect reporting performance
What You'll Do.
Lead and grow a team of analytics engineers
Own the design and governance of the company's core data models
Define and enforce standards for dbt project structure
Drive adoption of a semantic layer or metrics layer
Collaborate with stakeholders to translate business requirements into robust data models
Establish and track SLAs for data freshness
and pipeline lead incident response
Evaluate and evolve the modern data stack
Represent analytics engineering in cross-functional planning
and executive stakeholder conversations
How You'll Work.
Team & Collaboration
Lead and grow a team of analytics engineers; Collaborate with stakeholders in merchandising, marketing, finance, and operations; Represent analytics engineering in cross-functional planning, roadmapping, and executive stakeholder conversations; working alongside data science teams on shared data infrastructure
Communication Scope
written and verbal communication ability to convey technical concepts to non-technical audiences
Process & Methodology
translating ambiguous business questions into clearly scoped data work, cross-functional planning, roadmapping
Full Job Description
Join one of the world’s largest and most innovative digital real estate tech companies. Backed by global investment leaders KKR and CPP Investments, AVIV Group is redefining how people buy, sell, rent, and value property across Europe and the Middle East. With a strong presence in France, Germany, Belgium, and Israel, we’re behind some of the region’s most iconic digital real estate platforms — including SeLoger 🇫🇷, immowelt 🇩🇪, Immoweb 🇧🇪, Meilleurs Agents 🇫🇷 (France’s leading property valuation platform), and Homeday , one of Germany’s fastest-growing proptechs. Our mission? To simplify life’s most valuable transactions. We bring together data, technology, and human insight to empower millions of people to unlock their perfect place! About the role We're looking for a Senior Analytics Engineering Manager to lead one of our analytics engineering functions at the intersection of data infrastructure and business intelligence. You'll own the data models, pipelines, and semantic layer that power decisions. What you'll do * Lead and grow a team of analytics engineers (ICs and potentially tech leads), providing mentorship, technical direction, and career development. * Own the design and governance of the company's core data models — including customer, order, product, inventory, and marketing attribution domains. * Define and enforce standards for dbt project structure, testing, documentation, and code review across the analytics engineering team. * Drive adoption of a semantic layer or metrics layer to enable consistent KPI definitions across all reporting surfaces. * Collaborate with stakeholders in merchandising, marketing, finance, and operations to translate business requirements into robust data models. * Establish and track SLAs for data freshness, accuracy, and pipeline reliability; lead incident response when data quality issues arise. * Evaluate and evolve the modern data stack (warehouse, transformation, orchestration, BI) as business needs change. *
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