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Senior Analytics Engineer

Bonapolia Yerevan, Armenia

IT Services and IT Consulting · 2-10 employees

8 h ago
Remote data-analyst Mid (2-5 yrs) Contractor Kazakhstan
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About the role

The Senior Analytics Engineer will lead the migration of dbt models and Airflow DAGs to a core data warehouse platform. They are responsible for building and optimizing incremental BigQuery data marts while ensuring data quality and reliable delivery.

What they look for

SQL Python BigQuery Dbt Airflow Data Warehousing Data Modeling ETL ELT Data Quality Data Governance Git Data Marts Pipeline Migration Attribution Logic Cloud Storage

Requirements

Candidates must have 3+ years of experience in Analytics or DWH Engineering with expert SQL and Python skills. Proficiency in dbt, orchestration tools, and data architecture is required to translate stakeholder needs into technical data requirements.

Full description

We are looking for a Senior Analytics Engineer:

🗣 Language Proficiency: Intermediate

🧾 Employment type: Full time

🌍 Candidate Location: EU, Serbia, Georgia, Armenia, Kazakhstan

🕐 Working Time Zone: CET

🚀 Start: ASAP

🧭 Planned Work Duration: 6 months

👥 Customer Description:

The customer is a global mobility and urban services platform offering transportation, delivery, and on-demand services.

🧩 Project Description:

Data delivery and attribution pipeline migration to a core data warehouse platform.

⚙️ Project Phase: Ongoing

💡 Hard Skills / Must Have:

  • 3+ years of Analytics Engineering, DWH Engineering, or Data Analysis experience
  • Expert SQL and good Python knowledge for ETL and data processing
  • DWH architecture, ODS, data marts, incremental loads, history handling, and deduplication
  • BigQuery or similar columnar databases; data mart design and optimisation
  • dbt for large incremental projects and Airflow or similar orchestration tools
  • Pipeline migration, data parity validation, Git, Data Quality, and Data Governance
  • Ability to translate stakeholder needs into data requirements

✨ Hard Skills / Nice to Have:

  • Mobile or marketing attribution data, ad network cost data, SKAN/ATT, and ad fraud data
  • Google Cloud Platform, Cloud Storage, and Dataform
  • Lightdash, Looker, or Tableau

📌 Responsibilities and Tasks:

  • Clarify requirements and implement changes to attribution logic, sources, and data marts
  • Lead migration of dbt models, Airflow DAGs, and sources to the core DWH platform
  • Build and optimise incremental BigQuery data marts, including recalculations and backfills
  • Implement data quality checks and investigate discrepancies
  • Analyse external inputs and ensure reliable data delivery
  • Participate in testing, validation, releases, and technical documentation

Technology Stack: SQL, Python, BigQuery, dbt, Airflow, Git, Data Warehousing, Data Modeling, ETL/ELT, Data Quality, Data Governance

Interview stages:

English check (15 minutes)

internal technical interview (1-1,5 hour)

client interview (1 hour)

client interview – cultural fit (45 minutes)

What we offer

  • Model: B2B contract with Bonapolia - one contract, one monthly invoice
  • Rate: negotiated per candidate seniority and client budget
  • Payment: monthly invoice, paid on the same schedule the client pays us (usually 30 days)
  • Contract written under your country's law
  • We handle the client-side paperwork: MSA, NDA, invoicing

🏢 About Bonapolia

Bonapolia is a family-owned IT staff augmentation team based in Lisbon. We build engineering teams for product companies and IT consultancies across Europe and the US.

More at bonapolia.com

📩 Ready to Join? We look forward to receiving your application and welcoming you to our team!

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