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SKELAR

Analytics Engineer (Marketing)

RemoteUkraine, Poland only
Published
Role
Data Engineering
Employment
Full-time
Salary not disclosed
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Open to UA, PL only. Set where you work from to check your eligibility.

No BS summary

Analytics Engineer for marketing data, with strong SQL, BigQuery query optimization, dbt, and data modeling. Must understand data pipelines, PII handling, monitoring, and the product/marketing/advertising data context.

Core skills

SQLBigQuerydbt

Required skills

Data modeling

Optional skills

DataformPythonETLELTCI/CDGitHub ActionsMetaGoogle

What you'll do

  • Work with large marketing data volumes across dozens of ad networks and platforms, hundreds of raw-data tables, and thousands of daily analytical processes.
  • Optimize query cost for hundreds of TB per day through partitioning and efficient querying.
  • Balance reporting speed and accuracy when marketing needs correct reports immediately and data arrives with a 1–24 hour lag.
  • Handle PII fields separately at every pipeline stage.
  • Influence budget decisions by improving ROAS accuracy.
  • Improve campaign scaling speed by reducing report delays.
  • Maintain team trust in data and reports by preventing visible errors.
  • Reduce compliance risks through correct PII handling.
  • Build monitoring and alerts that catch event collection failures before they affect campaigns.

What they require

  • Understand that data is not just a report but a signal directly controlling advertising algorithms; the company generates about 80,000 optimization events daily and every error can turn into real lost money.
  • Excellent SQL knowledge, including writing efficient queries on large volumes with millions of rows per day and understanding partitioning, clustering, and query cost in BigQuery.
  • Experience with dbt and ability to build and maintain transformations as code with tests and documentation rather than one-off scripts.
  • Ability to design data structures that can withstand company growth and not break with every new business requirement.
  • Pipeline-level attention to detail and ability to notice anomalies in event streams before campaign budgets do.
  • Ability to work at the intersection of product, marketing, and advertising and understand that an event is a signal sent to Meta, Google, and TikTok that shapes future targeting.
  • Proactive approach: willingness to build monitoring and alerts instead of only recording problems after the fact.
  • Preferred: Experience building ETL/ELT pipelines from scratch, including the full data path from sources such as ad networks, pixels, and CRM to analytical data marts.
  • Preferred: Understanding of performance marketing context, including ROAS, CAC, LTV, attribution, optimization events, and the funnel from click to conversion.
  • Preferred: Experience working with advertising platform data is a major plus.

Benefits

  • SKELAR Platform operational core supporting founders and business teams with Legal, Finance, HR, Admin, Talent Acquisition, Employer Branding, IT, and other functions.
  • Network and experience exchange with cofounders and strong market specialists.
  • Access to internal expertise.
  • Exclusive domain education through internal training programs, including a 2-month school for beginner managers, AI intensives, and professional clubs in development and product management.
  • Opportunity to contribute to systematic support for Ukraine through SKELAR foundation and social projects.
  • Workspaces with a gym, climbing wall, Bali green zones, and libraries.
  • Service, safety, and comfort in workspaces.
  • Breakfasts and lunches.
  • Access to sports training in Kyiv or partial compensation for sports activities in Warsaw.
  • Medical insurance.
  • Paid business trips when the role requires them.
  • Corporate partner discounts.

SKELAR

SKELAR is a venture builder that builds consumer businesses for global markets including EdTech, Mental health, Petcare, and FashionTech.

EdTechStartup

Details

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Salary not disclosed