Senior Data Engineer

New

Ukraine. Spain. Poland. PortugalFull-TimeSenior

Salary not disclosed

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Job Details

5+ years of professional experience in data engineering with a track record of owning production data pipelines.
Expert-level SQL, including complex analytical queries, window functions, query optimization, and star-schema modeling.
Hands-on experience with a modern cloud data warehouse such as Snowflake, BigQuery, Redshift, or Databricks.
Strong experience with dbt or an equivalent ELT transformation framework.
Proven experience building and scheduling ELT/ETL pipelines using a workflow orchestrator like Airflow, Dagster, or Prefect.
Experience designing idempotent, re-runnable, incremental loads.
Experience implementing data-quality testing, monitoring, and alerting.
Strong command of written and spoken English for direct collaboration with stakeholders.

Design and build automated, reliable ELT pipelines that integrate data from multiple source systems into a cloud data warehouse on a daily cadence.
Automate financial reporting to the general ledger that reconciles with the reporting layer by design, replacing manual processes.
Build and maintain a data-mapping layer that resolves customer identity across systems and rolls transactions up to a single customer key.
Model clean, well-documented data marts that make business performance explainable and support drill-down and variance analysis.
Deliver the data models that power a KPI and forecasting dashboard for finance and business stakeholders.
Ensure pipelines are robust and auditable with monitoring, data-quality checks, and alerting.
Collaborate with BI, finance, and integration partners to turn business requirements into reliable data products.

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