Senior Analytics Engineer

Scope of work

Finance data

Accounting-system ingestion (MSSQL); invoices, payments, credit notes and receivables/debt; SaaS revenue and MRR; cash availability, safeguarding and FX rates; the monthly close calendar, the monthly revenue pack and the quarterly bonus calculations.

SaaS and sales data

Salesforce ingestion and write-back of computed fields, sales pipeline and activity marts, product usage and revenue for our SaaS lines, and marketing attribution.

B2BinPay data

Transfers, volumes and commissions across legal entities; wallet balances and liquidity alerts; the daily margin report; and the commercial team's motivation scheme.

BI and reporting

Metabase and Tableau dashboards, including row-level security; Slack reports and Google Sheets integrations; the certified metrics that our AI assistant is allowed to use.

Obligatory requirements

• 4+ years in analytics engineering or data engineering.
• At least 2 of those years with dbt in production: incremental models, snapshots, seeds, tests with severity, and macros.
• Strong PostgreSQL. That includes window functions, deterministic dedup and reading query plans. It also includes making schema changes on a shared warehouse without breaking other teams.
• Python for pipelines: REST/SOAP API ingestion, pagination, rate limits and idempotent re-runs.
• Airflow or a similar orchestrator.
• Dimensional (Kimball) modelling: facts and dimensions, SCD Type 2, and resolving the same customer across several source systems.
• Finance fluency. You can explain: AR ageing; MRR movements (new, expansion, churn); revenue vs. cash timing; FX conversion; intercompany elimination. You can also reconcile a mart against the accounting export to the cent.
• You work directly with business owners: Finance, Treasury, Sales and product teams. You turn a vague request into a written spec and push back when the definition is unclear. You own the number after it ships.
• English B2+ for written specs and stakeholder communication.

Preferably

• Salesforce data model, SOQL and API write-backs; 1C or another ERP on MSSQL.
• Crypto payments, brokerage or fintech domain: wallets, blockchain transfers, commissions.
• dlt, the dbt semantic layer / MetricFlow, Metabase or Tableau administration and row-level security.
• Airflow on Kubernetes, Docker, GitLab CI; AWS Lambda and Step Functions.
• Building LLM or AI-assistant features over a warehouse: text-to-SQL, metric governance.
• Russian

What we offer

• Reliability: official employment from the first day, bonuses, annual employee review (salary review or bonus, feedback on work results)
• Stability: our clients are in different countries, therefore we are ready for any changes in work of any country
• Development: a lot of projects and products, which means increasing expertise in working with different technologies, or even switching to completely new ones for you within the company
• Active corporate life: we participate in thematic conferences and forums in our cool sphere of business, corporate parties in the best restaurants of the city with participation of stars, etc
• Comfort: Offices are in different countries. You can work from anywhere in the world