[All remote jobs](https://jobicy.com/jobs.md)[![Ruby Labs logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/0799a7b7-221-1.jpeg)](https://jobicy.com/company/ruby-labs.md)[Ruby Labs](https://jobicy.com/company/ruby-labs.md) # Data Analytics Engineer AI Summary Ruby Labs seeks a Data Analytics Engineer to develop and maintain the analytical data layer used for company decision-making. The role centers on dbt modeling, scalable SQL transformations, and cloud warehouses including BigQuery and ClickHouse. The engineer will establish data-quality checks, documentation, lineage, governance standards, and reliable reporting datasets. This is a remote independent-contractor role for candidates able to collaborate within approximately four hours of Central European Time.[Apply for this job](#job-application)[View company](https://jobicy.com/company/ruby-labs.md)ShareRemote from[Europe](https://jobicy.com/job-region/europe.md)SalaryUndisclosedDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentContractExperienceOpen levelPublished3 Nov 2026Apply before3 Dec 2026Listing views56Application actions2Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. Opportunity details ## About this role. ### 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/](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](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 Show more [Apply now >](https://jobicy.com/jobs/158715-data-analytics-engineer-3.md) > Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 4/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThe position requires strong hands-on analytics engineering expertise across dbt, SQL, warehouse performance, data quality, and modeling. It also demands independent ownership of reliable shared datasets while translating needs from several business and technical teams. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$115,000US market range (per year)$100k–$145k0$159.50k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. The yearly cadence and USD market estimate are inferred for an experienced remote Data Analytics Engineer contract role; actual contractor compensation may vary substantially by country, contract terms, and seniority. ## Core skills Skills and capabilities most closely associated with this opportunity. [SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[dbt](https://jobicy.com/jobs?search_keywords=dbt.md)[Data Modeling](https://jobicy.com/jobs?search_keywords=Data%20Modeling.md)[BigQuery](https://jobicy.com/jobs?search_keywords=BigQuery.md)[ClickHouse](https://jobicy.com/jobs?search_keywords=ClickHouse.md)[ELT](https://jobicy.com/jobs?search_keywords=ELT.md)[Data Quality Testing](https://jobicy.com/jobs?search_keywords=Data%20Quality%20Testing.md)[Data Documentation](https://jobicy.com/jobs?search_keywords=Data%20Documentation.md)[Data Lineage](https://jobicy.com/jobs?search_keywords=Data%20Lineage.md)[Query Optimization](https://jobicy.com/jobs?search_keywords=Query%20Optimization.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md)[Data Governance](https://jobicy.com/jobs?search_keywords=Data%20Governance.md)[Airflow](https://jobicy.com/jobs?search_keywords=Airflow.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md) Sample interview questionsHow would you structure a dbt project for a growing analytics organization?I would separate models into staging, core, and mart layers. Staging models standardize source data, core models implement reusable business logic, and marts expose domain-focused datasets for reporting. I would also use source freshness checks, tests, documentation, naming conventions, and CI validation to keep the project maintainable. How do you investigate and prevent a discrepancy between two dashboards that should report the same metric? I would first identify the source tables, filters, time definitions, and aggregation logic used by each dashboard. I would trace lineage to find where definitions diverge, validate the underlying data, and then consolidate the metric into a tested canonical model or semantic definition. Finally, I would document the definition and communicate the correction to stakeholders. What techniques would you use to optimize BigQuery costs and query performance? I would reduce scanned data through partitioning, clustering, selective projections, incremental models, and avoiding unnecessary repeated transformations. I would review query plans and bytes processed, materialize costly reusable logic where justified, and set appropriate freshness and incremental strategies in dbt. How would you implement data quality monitoring for critical reporting models? I would combine dbt schema tests for uniqueness, non-null values, relationships, and accepted values with custom SQL tests for business rules. For critical metrics, I would add freshness checks and anomaly monitoring for volume, distribution, and metric changes. Alerts should be routed with clear ownership and runbooks for investigation. Describe how you translate an ambiguous business request into an analytical dataset. I start by clarifying the business decision, users, metric definitions, grain, source systems, time logic, and expected edge cases. I then propose a model design and sample outputs for stakeholder confirmation before implementation. After building the dataset, I document assumptions, add quality tests, validate results with users, and iterate based on feedback. Next step ## Apply now. Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information. Keep exploring ## Related remote jobs. * ![Welo Global logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/06/83c40f94-221.webp) Welo Global Nov 3 New ### [AI Trainers Network – Welsh](https://jobicy.com/jobs/158809-ai-trainers-network-welsh.md) Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. 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