Data Engineer

  • We’re looking for a Data Engineer to join our team in the iGaming industry, where real-time insights, affiliate performance, and marketing analytics are at the center of decision-making. In this role, you’ll own and scale our data infrastructure, working across affiliate integrations, product analytics, and experimentation workflows.
  • Your primary responsibilities will include building and maintaining data pipelines, implementing automated data validation, integrating external data sources via APIs, and creating dashboards to monitor data quality, consistency, and reliability.
  • You’ll collaborate daily with the Affiliate Management team, Product Analysts, and Data Scientists to ensure the data powering our reports and models is clean, consistent, and reliable. 

Remote Full-time

job description

WHAT YOU’LL DO:

  • Design, develop, and maintain ETL/ELT pipelines to transform raw, multi-source data into clean, analytics-ready tables in Google BigQuery, using tools such as dbt for modular SQL transformations, testing, and documentation.
  • Integrate and automate affiliate data workflows, replacing manual processes in collaboration with the related stakeholders.
  • Proactively monitor and manage data pipelines using tools such as Airflow, with proper alerting and retry mechanisms in place.
  • Emphasize data quality, consistency, and reliability by implementing robust validation checks.
  • Build a Data Consistency Dashboard (in Looker Studio, Power BI, Tableau or Grafana) to track schema mismatches, partner anomalies, and source freshness, with built-in alerts and escalation logic.
  • Ensure timely availability and freshness of all critical datasets, resolving latency and reliability issues quickly and sustainably.
  • Control access to cloud resources, implement data governance policies, and ensure secure, structured access across internal teams.
  • Monitor and optimize data infrastructure costs, particularly related to BigQuery usage, storage, and API-based ingestion.
  • Document all pipelines, dataset structures, transformation logic, and data contracts clearly to support internal alignment and knowledge sharing.
  • Build and maintain postback-based ingestion pipelines to support event-level tracking and attribution across the affiliate ecosystem.
  • Collaborate closely with Data Scientists and Product Analysts to deliver high-quality, structured datasets for modeling, experimentation, and KPI reporting.

WHAT WE EXPECT FROM YOU:

  • Strong proficiency in SQL and Python.
  • Experience with Google BigQuery and other GCP tools (e.g., Cloud Storage, Cloud Functions, Composer).
  • Proven ability to design, deploy, and scale ETL/ELT pipelines.
  • Hands-on experience integrating and automating data from various platforms.
  • Familiarity with postback tracking, attribution logic, and affiliate data reconciliation.
  • Skilled in orchestration tools like Airflow or similar.
  • Experience with visualization tools like Looker Studio, Power BI, Tableau, or Grafana for building dashboards for data quality monitoring and business needs.
  • Experience with Git for version control and Docker.
  • Exposure to iGaming data structures and KPIs is a strong advantage.
  • Strong sense of data ownership, documentation, and operational excellence.
  • Good communication skills with different stakeholders.
  • Upper-intermediate English language proficiency.

Do you want to know some details about this position?

Valeriia will help!
more details
work

YOUR JOURNEY WITH US:

  • Step 1: CV and short questionary.
  • Step 2: Pre-screen with a recruiter.
  • Step 3: Test task.
  • Step 4: Interview.
  • Step 5: Final intrview.
  • Step 6: Reference check & Job offer!
WHAT WE OFFER:
  • 28 business days of paid off.
  • Flexible hours and the possibility to work remotely.
  • Medical insurance and mental health care.
  • Compensation for courses, trainings.
  • English classes and speaking clubs.
  • Internal library, educational events.
  • Outstanding corporate parties, teambuildings.

WHAT WE OFFER:

Haven’t found
a vacancy that
suits you?

Maybe we will find something to offer you
close
Contact
us
Thank you.
we’ll be in touch soon.
close
close
Apply for
a vacancie
or
We will consider your
application within 2 weeks.

Or maybe faster!
close
Talent Sourcer

Valeriia
Bieliavtseva

Talent Sourcer
close
ask a
question

Valeriia
Bieliavtseva

Talent Sourcer
Thank you.
we’ll be in touch soon.
close
close
SEND YOUR CV
We will consider your
application within 2 weeks.

Or maybe faster!
close
close
SEND YOUR CV
We will consider your
application within 2 weeks.

Or maybe faster!
close
close
Recommend
a friend
or
We will consider your
application within 2 weeks.

Or maybe faster!
close