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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.
We are looking for a Senior Analytics Engineer:
š£ Language Proficiency: Intermediate
š§¾ Employment type: Full time
š Candidate Location: EU, Serbia, Georgia, Armenia, Kazakhstan
š Working Time Zone: CET
š Start: ASAP
š§ Planned Work Duration: 6 months
š„ Customer Description:
The customer is a global mobility and urban services platform offering transportation, delivery, and on-demand services.
š§© Project Description:
Data delivery and attribution pipeline migration to a core data warehouse platform.
āļø Project Phase: Ongoing
š” 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
š 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 ā 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
š¢ 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
š© Ready to Join?
We look forward to receiving your application and welcoming you to our team!
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