Senior Analytics Engineering Manager (w/m/d) at AVIV Group

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

11 Aug, 26

Salary

0.0

Posted On

13 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Analytics Engineering, People Management, dbt, SQL, Cloud Data Warehousing, Data Modeling, Stakeholder Management, Data Governance, KPI Definition, E-commerce Data Domains, Semantic Layer, BI Tools

Industry

technology;Information and Internet

Description

Company 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! Job Description 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. Represent analytics engineering in cross-functional planning, roadmapping, and executive stakeholder conversations. Qualifications What we're looking for 5–8 years of experience in analytics engineering, data engineering, or a closely related field, with at least 2–3 years in a people management role. Deep expertise with dbt (dbt Core or dbt Cloud) — including advanced modeling patterns, macros, testing, and documentation best practices. Strong SQL skills and 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. Strong written and verbal communication skills; 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. Additional Information About us At AVIV, we are an equal opportunities employer and an organisation where everyone is welcomed to be their authentic selves. We strongly encourage individuals with visible and non visible disabilities, all educational backgrounds, people from minority backgrounds, those from the LGBTQIA+ community and parents and carers to apply. If you need reasonable adjustments at any point in the application or interview process, or wish to discuss part time or flexible working requirements, please let us know. In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc). Our ambition is to be the leading Employer in PropTech across Europe and this is a pivotal time to join us and unlock your perfect job! #LI-Hybrid #LI-Onsite #hybrid Department: Data Platform City: Berlin TA Partner: Kasia Nowicka

Responsibilities

Lead and grow a team of analytics engineers to design and govern core data models and pipelines. Collaborate with cross-functional stakeholders to translate business requirements into robust data products and maintain data reliability SLAs.