Strategic Overview
Data Analytics Engineer at Ruby Labs is a data opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as Design, build, and maintain dbt models (staging, core, marts) based on business needs Develop scalable SQL transformations and ensure efficient, cost-effective query performance.
The role is listed for Europe with remote working arrangement, giving candidates the practical context needed to assess fit before applying. Relevant signals in the listing include Data Science & Analytics, Senior.
Key information at a glance
About This Role
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:
Key Responsibilities & Objectives
- 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
Required Qualifications & Candidate Blueprint
- Strong SQL experience with a deep understanding of analytical modeling concepts
- Hands-on experience with dbt (models, tests, docs, macros)
- Understanding of data modeling patterns
Salary & Benefits
The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.
- 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:
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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:
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:
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
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This data opening is a useful opportunity for candidates whose experience matches Data Science & Analytics, Senior. Its strongest career signal is the scope of the work itself — particularly Design, build, and maintain dbt models (staging, core, marts) based on business needs — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground Data Science & Analytics, Senior, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.