ppOur Businessteam.blue is an ecosystem of successful brands working together across regions to provide customers with everything they need to succeed online. /p pLe seguenti informazioni hanno lo scopo di fornire ai potenziali candidati una migliore comprensione dei requisiti per questo ruolo. /p p60+ successful brands make up the group, with a team of more than 3,000 experts serving 3.5 million customers across Europe and beyond. team.blue’s brands span traditional hosting businesses — offering domain names, email, shared hosting, e-commerce and server solutions — as well as specialist SaaS providers offering compliance, marketing tools and team collaboration products. /p pThis broad portfolio makes team.blue a one-stop partner for online businesses and entrepreneurs across Europe. /p h3Position Overview /h3 pWe are looking for an experienced and autonomous Analytics Engineer to join our AI Data function. /p pThis role sits at the critical intersection between our Data Management team (responsible for ingesting raw data into our Databricks-based data platform) and our Analytics team (responsible for insights and reporting). /p pYou will take raw data, at various stages of conforming, and transform it into trusted, analytics-ready datasets — building KPIs, semantic models, and data products that feed our presentation and reporting layers. /p pWorking across a wide variety of data domains (marketing, product usage, customer care, revenue, and more), you will need to be intellectually curious, self-directed, and proactive: comfortable exploring unfamiliar data landscapes with limited guidance, engaging business partners to understand what the data really means, and making sound judgement calls independently. /p pWe need someone we can trust to pick up a new data domain, figure it out, and deliver at pace. /p pReporting to the Director of Analytics, you will work closely with data engineers, analytics engineers, and business stakeholders across the group. /p h3Where you sit in the team /h3 pThe Data function is structured around three layers: /p ul liData Management: Ingests raw data from all sources into the Databricks platform. Owns the bronze/raw layer. /li liAnalytics Engineering YOU: Takes raw data, conforms and transforms it, builds KPI definitions and semantic models, and delivers reliable data products to the presentation layer.

/li liAnalytics Insights: Consumes the analytics-ready data to produce dashboards, reports and strategic insights for the business. /li /ul h3Key responsibilities: /h3 h3Data Transformation Modelling /h3 ul liDesign and build robust dbt models on Databricks that transform raw, ingested data into clean, conformed, and analytics-ready datasets. /li liDefine and implement KPI logic in collaboration with business and analytics stakeholders, ensuring consistent definitions across domains. /li liMaintain and evolve the semantic/presentation layer, ensuring data products are reliable, tested, documented, and performant. /li liApply software engineering best practices to analytics code: version control, testing, CI/CD, and documentation. /li /ul h3Cross-Domain Data Exploration /h3 ul liIndependently onboard new data domains (e.g. marketing attribution, product usage, customer care, subscription data) with limited guidance — exploring the data, understanding its structure and meaning, and deciding how to best model it. /li liProactively engage business partners and domain owners to understand context, validate assumptions, and align on KPI definitions. /li liIdentify data quality issues early and work with the Data Management team to resolve them at source. /li /ul h3Collaboration Enablement /h3 ul liAct as the connective tissue between data engineers and analysts: translating analytical needs into engineering tasks, and surfacing data realities back to the business. /li liWork with the Analytics team to ensure the presentation layer meets reporting and self-service needs. /li liContribute to data governance: naming conventions, lineage documentation, and model cataloguing. /li liSupport the broader team in extending analytics coverage to new brands and domains over time. /li /ul h3Required Experience/skills: /h3 ul li5+ years of experience in analytics engineering, data engineering,

or a closely related data role. /li liStrong, hands‑on proficiency with dbt (dbt Core or dbt Cloud) — this is a core requirement. /li liExperience working on Databricks (or a comparable cloud data platform such as Snowflake or BigQuery). /li liSolid understanding of dimensional modelling, data vault, or similar data warehousing patterns. /li liSQL excellence: complex transformations, window functions, query optimisation. /li liProven ability to work autonomously across multiple data domains simultaneously, figuring out unfamiliar data with limited documentation. /li liStrong analytical mindset: able to interrogate data critically, spot anomalies, and validate logic end‑to‑end. /li liExcellent communication skills — comfortable talking directly with business stakeholders to elicit requirements and explain data concepts. /li liExperience working across diverse data domains (e.g. marketing, product analytics, customer care, financial/subscription data). /li /ul h3Nice to Have: /h3 ul liFamiliarity with SaaS GTM tooling and metrics — e.g. Amplitude, HubSpot, or similar marketing and product analytics platforms. /li liExperience with Python for data transformation or pipeline orchestration. /li liExposure to BI/visualisation layers (e.g. Looker, Tableau, Power BI) and how they consume semantic models. /li liExperience in a multi-brand or portfolio company context. /li liBackground in a consulting or contractor capacity: comfortable delivering impact quickly in complex environments. /li /ul h3Right to Work /h3 pAt any stage, please be prepared to provide proof of eligibility to work in the country you’re applying for. /p pUnfortunately, we are unable to support relocation packages or sponsorship visas. /p p"Come as you are" /p pEveryone is welcome here. /p pDiversity Inclusion are at our core. /p pFar above any technical competence, we value respect, openness, and trusted collaboration. /p pWe do not tolerate intolerance. /p h3ESG /h3 pAt team.blue, our commitment to caring for the environment and each other is at the heart of everything we do. /p pOur latest impact report showcases our ongoing ESG efforts and ambitious sustainability goals. /p pInterested in learning more about our dedication to making a positive impact? xlwpduy Check it out here. /p p#LI-CC1 /p /p #J-18808-Ljbffr

Senior Analytics Engineer

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