Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Analytics Engineer (Databricks): Building trusted analytics-ready datasets, KPI definitions, semantic models, and data products from raw data across marketing, product usage, customer care, and revenue domains with an accent on dbt modelling, data quality, and cross-domain exploration. Focus on designing performant Databricks models, validating complex SQL transformations, aligning metrics with business stakeholders, and maintaining tested, documented analytics layers.
Location: Fully remote, based in Gent, Belgium
Company
hirify.global is a European ecosystem of more than 60 brands providing hosting, SaaS, e-commerce, domain, email, server, compliance, marketing, and collaboration solutions to online businesses.
What you will do
Build robust dbt models on Databricks that transform raw data into clean, conformed, analytics-ready datasets.
Define KPI logic and maintain reliable, tested, documented, and performant semantic and presentation layers.
Explore and onboard new data domains, including marketing attribution, product usage, customer care, and subscription data.
Investigate data quality issues, validate assumptions, and collaborate with the Data Management team to resolve problems at source.
Translate analytical needs into engineering tasks and support reporting and self-service analytics.
Contribute to data governance through naming conventions, lineage documentation, and model cataloguing.
Requirements
5+ years of experience in analytics engineering, data engineering, or a related data role.
Strong hands-on proficiency with dbt and experience with Databricks or a comparable cloud data platform.
Solid knowledge of dimensional modelling, data vault, or similar data warehousing patterns.
Advanced SQL skills, including complex transformations, window functions, and query optimisation.
Ability to work autonomously across unfamiliar data domains, identify anomalies, and validate logic end to end.
Strong communication skills for working with business stakeholders and explaining data concepts.
Nice to have
Familiarity with SaaS go-to-market tooling and metrics such as Amplitude or HubSpot.
Experience with Python for data transformation or pipeline orchestration.
Exposure to Looker, Tableau, Power BI, or other BI and visualisation layers.
Experience in a multi-brand or portfolio company, consulting, or contractor environment.
Culture & Benefits
Fully remote working arrangement.
Inclusive environment focused on respect, openness, trusted collaboration, diversity, and inclusion.
Work within an international group serving customers across Europe and beyond.
Commitment to environmental and social sustainability through ongoing ESG initiatives.
Relocation packages and visa sponsorship are not available.
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