Data Engineer

About the role

We are looking for an experienced Data Engineer to join our team. In this role, you will design, build, operate, and continuously improve our Snowflake-based data warehouse and data services. You will deliver reliable, well-modeled datasets and simple, scalable APIs that power analytics, dashboards, and downstream applications.You will work closely with analysts (your primary stakeholders) and PD&T partners to translate business needs into robust, production-grade data products.

Analytics/DWH: SQL, Python, SnowFlake, AirFlow, Looker,  Amplitude, GoogleAnalytics, GoogleSheets, DataHub, Git.
Application platform: PostgreSQL, Ruby, SalesForce.
Project/Process management: JIRA, Miro, Figma

Key Responsibilities:

• Pipelines & ELT: implement and operate stable, secure ELT/ETL into Snowflake from ERP/CRM/payments/accounting; monitor and fix failures.
• Data modeling: deliver clean layers (raw → cdm → DM); keep definitions consistent with metric owners.
• Multi‑region data warehouse (N+1 architecture): seamlessly onboard new regional platforms (ERP + database) into a unified layered model (raw → cdm → DM) so dashboards and analytics work across regions out of the box.
• APIs & integrations: build/maintain simple data services and endpoints; consume external APIs as needed.
• Data quality: add checks, reconcile sources, and resolve data defects; protect PII.
• Looker support: assist with model changes driven by DWH updates; keep explores performant and accurate.
• Ops hygiene: version control, code reviews, alerting, cost‑aware design; collaborate with DevOps.
• Ways of working: start with “why,” simplify, and treat the data platform as a product.

Examples of problems to be solved:

• Multi‑region N+1 ingestion and unification (EU/UK/TR, future regions) into a single standardized model.
• Snowflake cost/performance optimization (warehouse sizing, clustering, caching, pruning).
• Data quality/observability: lineage in DataHub, SLAs/SLOs, anomaly detection, and alerting.
• GDPR/PII controls: masking, access policies (RBAC), auditability.
• ML enablement: curated feature tables and reliable batch/online inference paths via APIs.
• Data microservices: support/extend services like order distribution with clean contracts and monitoring.
• Connectivity & reliability across regions (e.g., EU⇄CN constraints), retries, back‑pressure, idempotency.
  
  Bachelor’s or Master’s in Data Science, Computer Science, IT, Engineering, or a related field.
  Track record of curiosity and self‑directed development in adjacent disciplines—entrepreneurship, business administration, product, UX, machine learning, and human behavior/psychology—is a strong plus.
  
  Qualification and experience:
• Experience: 2–4+ years in data engineering or DWH development.
• Tech: strong SQL & Python; Airflow; Snowflake (or similar cloud DWH); Git/JIRA/Confluence.
• Plus: BI modeling exposure (Looker), ELT patterns, basic API development.
• Soft skills: clear communication, ownership, quality mindset; can turn ambiguous asks into stable data solutions.
  

  Russian — fluent (must)
  English — fluent (must)
  Strong communication in both; German/other EU language — plus

  Work conditions:

• Full-time job. Home office + long term contract
• Salary (fixed in Euros) to be discussed with each candidate. 
• Russian-speaking team of distributed data analysts with former employees from Yandex, Sber, Cian, Tinkoff, etc. in a large international company.
• Successful startup (400+ people in Europe) inside a global market leader (1500+ people overall).
• Team spirit and friendly atmosphere: we work in an open, friendly and trusting environment that welcomes initiative. In the Xometry team, everyone is ready to help and support in difficult times, and we always celebrate victories together and appreciate the contribution of everyone.
• Development opportunities: we are a fast growing company, each new task is an interesting challenge for the team.
• We care: ongoing free of charge well-being activities for our people, charity projects worldwide.
• Flexibility: speed and flexibility are some of our advantages, allowing us to achieve amazing results. We have flexible processes and planning, we can respond to rapidly changing conditions and remain effective in the face of uncertainty.
• Onboarding: Well structured onboarding plan for new employees combining all in one process, technology, and systems components.
  
  Please apply with an English CV
  
  #LI-Remote