Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указанаразвернуть
На похожих ролях по рынку
$51к$63кмедиана$77к
15 в выборке
На СНГ рынке: $2к/мес ($1.3к - $3к)
85
Хорошая вакансия
развернуть
Роль описана чётко, охватывает работу с крупной аналитической средой и предлагает поддержку профессионального развития, но основная платформа не указана.
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Analytics Engineer (SQL/BI): Building trusted data models, metrics, semantic models, dashboards, and reporting solutions for an international analytics environment with an accent on business requirements, data quality, and governance. Focus on translating ambiguous stakeholder needs into scalable analytical products, designing dimensional models, and documenting transformation logic and lineage.
Location: Madrid or Warsaw; hybrid work with working from home up to 40%
Company
hirify.global - BME drives the transformation of financial markets and is part of hirify.global, a major European exchange group.
What you will do
Support an international analytics environment serving more than 14 internal analytics teams and over 600 users.
Translate business objectives, processes, and decision-making needs into analytical, functional, and data requirements.
Define business metrics, KPIs, data logic, curated datasets, reusable data models, and semantic models using SQL and modern data transformation practices.
Develop and maintain dashboards and reports, collaborating with data engineers to integrate source data and resolve data quality issues.
Document models, metric definitions, transformation logic, and lineage, and contribute to analytics governance, standards, and continuous improvement.
Requirements
4+ years of practical experience in analytics engineering, business intelligence, data analysis, data modelling, or a comparable role.
Ability to analyse business processes and stakeholder needs and translate them into precise data requirements, transformation rules, and analytical solutions.
Experience with business intelligence and data visualisation tools, including semantic modelling, dashboard design, and KPI definition; Databricks Dashboards or cloud-based Power BI are preferred.
Strong SQL skills and hands-on experience transforming large datasets into reliable analytical and dimensional data models.
Good understanding of data quality, testing, documentation, lineage, governance, version control, and structured development practices.
Ability to structure ambiguous problems independently and work effectively with business and technical stakeholders.
Strong analytical, communication, and presentation skills, a proactive learning mindset, and fluency in written and spoken English.
Nice to have
Experience with Databricks, Lakehouse platforms, dbt, or Python.
Culture & Benefits
Flexible work models designed to support a balanced and productive working environment.
Continuous learning, feedback, and an extensive personal development offering.
Agile working methods including Scrum and design thinking.
Inclusive workplace welcoming applications regardless of personal background.
Hiring process
Only direct applications are accepted.
Questions can be directed to the listed contact person or checked in the company FAQ.
Будьте осторожны
Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →