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Datos y analítica

Data Analytics Engineer - vacante remota

Ruby Labs

Desde EuropaRemotoEurope
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El enlace lleva al anuncio original. Donator no recibe candidaturas.

Publicada: (ayer)Activa hasta: hasta el 30 de septiembre de 2026

Data Analytics Engineer - Datos y analítica, remoto

La empresa Ruby Labs busca cubrir el puesto de Data Analytics Engineer. La vacante pertenece al área de Datos y analítica y es totalmente remota. La empresa contrata a personas que residen en Europa.

El anuncio destaca SQL, así que la experiencia con esa herramienta concreta es lo que va a decidir.

La empresa no publicó ninguna cifra, eso se aclara en la entrevista. El anuncio nombra la zona horaria CET, así que el horario hay que acordarlo con el suyo.

Esta vacante pasó una revisión automática: los anuncios que exigen un permiso de trabajo extranjero, patrocinio de visa, una nacionalidad concreta o residencia en un país determinado no entran en la lista.

Herramientas

En resumen

Empresa
Ruby Labs
Área
Datos y analítica
Quién puede postular
Desde cualquier país de Europa
Modalidad
Totalmente remoto
Herramientas
SQL
Tipo de contrato
Tiempo completo
Publicada
21 de agosto de 2026 (ayer)
Activa
hasta el 30 de septiembre de 2026
Fuente
Jobicy

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Descripción de la empresa

About us Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/

About the role We are looking for a Data Analytics Engineer to build, optimize, and maintain the analytical data layer that powers decision-making across the organization. You will transform business requirements into reliable, well-modeled datasets using dbt, SQL, and cloud data warehouses (BigQuery, ClickHouse). This role combines data modeling, documentation, data quality design, and close collaboration with analysts, engineers, and product teams to ensure consistent, trustworthy reporting. You will serve as the bridge between raw data ingestion and analytics - shaping how data is structured, validated, and delivered.

Responsibilities

* Design, build, and maintain dbt models (staging, core, marts) based on business needs

* Develop scalable SQL transformations and ensure efficient, cost-effective query performance

* Implement data quality tests (dbt tests, custom checks, anomaly detection) and maintain high data reliability.

* Create and maintain documentation for datasets, data lineage, business logic, and transformation rules

* Collaborate with Data Engineers on improving raw data structures, ingestion patterns, and source readiness

* Partner with Data Analysts, Product Managers, and Marketing teams to translate business requirements into clean, reusable data models

* Monitor data pipelines and marts, resolve issues, and prevent inconsistencies in reporting

* Support governance initiatives: naming conventions, taxonomy, schemas, metric definitions, and standardization

* Contribute to continuous improvement of our data modeling frameworks, performance tuning, and technical decision-making

Requirements

* Strong SQL experience with a deep understanding of analytical modeling concepts

* Hands-on experience with dbt (models, tests, docs, macros)

* Experience working with cloud data warehouses such as BigQuery or ClickHouse

* Understanding of data modeling patterns

* Familiarity with data engineering concepts (ELT/ETL, orchestration, version control, CI/CD)

* Experience with data quality frameworks or implementing validation logic

* Ability to translate complex business processes into clean analytical datasets.

* Strong documentation skills and attention to detail

* Experience collaborating with cross-functional teams and supporting analysts with reliable data

* Knowledge of Python is a plus (but not required)

Nice To Haves

* Experience with orchestration tools (Airflow, Dagster)

* Experience working with marketing, product, or billing datasets

* Exposure to metric layers, semantic layer design, or BI governance

* Basic understanding of observability tooling (Grafana, Prometheus, ... )

* Experience optimizing BigQuery costs or ClickHouse performance

Location Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.

Benefits Discover the perks of being part of our vibrant team! We offer:

* Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.

* Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.

* Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.

* Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.

* Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt

Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!

Interview Process After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:

* Recruiter Screening (40 minutes)

* Technical Interview (90 minutes)

* Final Interview (60 minutes)

Life at Ruby Labs At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small-we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more-more responsibility, more growth, and more success.

#LI-Remote

El texto se conserva en el idioma original de la empresa, porque en ese mismo idioma se postulará usted.

Esta vacante se publicó en Jobicy. Anuncio original (Jobicy)

Preguntas frecuentes sobre esta vacante

¿Puedo postularme al puesto de Data Analytics Engineer desde donde vivo?

Sí. Para esta vacante, Ruby Labs acepta candidatos de cualquier país de Europa, así que usted no necesita un permiso de trabajo de otro país. El anuncio pasó una revisión automática: si la empresa hubiera exigido un permiso de trabajo, patrocinio de visa o residencia en un país determinado, no estaría en este tablón.

¿Qué remuneración se indica?

Para esta vacante, Ruby Labs no publicó ninguna cifra. La mayoría de los anuncios remotos no publica un monto: se acuerda en la entrevista.

¿Cómo me postulo?

Usted se postula directamente ante la empresa, a través del anuncio original publicado en Jobicy. Donator no recibe candidaturas, no cobra comisión y no guarda ningún CV.

¿Qué tipo de vacante es esta?

Un puesto totalmente remoto en el área de Datos y analítica. Los anuncios híbridos y todo lo que exija presencia en la oficina no se publican en este tablón.

Certificados gratuitos para esta vacante

Este anuncio pide SQL. Abajo están las credenciales gratuitas que cubren justo esas herramientas.

Todos los certificados gratuitos: AI and data

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