Senior Data Engineer

SKELAR
Lviv, Warsaw
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Ownership","Collaboration","Communication"]

Build and scale reliable ETL/ELT pipelines to collect and process user activity data. Design cloud data warehouse storage and analytics architectures using modern data tooling such as BigQuery, Airflow, and Dataform. Own data quality standards including availability, accuracy, security, data lineage, and observability. Collaborate across analytics, backend, and infrastructure teams to turn raw data into product metrics and actionable insights.

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FursaFursa
SKELAR
SKELAR
4 days ago

Senior Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Build and scale reliable ETL/ELT pipelines to collect and process user activity data. Design cloud data warehouse storage and analytics architectures using modern data tooling such as BigQuery, Airflow, and Dataform. Own data quality standards including availability, accuracy, security, data lineage, and observability. Collaborate across analytics, backend, and infrastructure teams to turn raw data into product metrics and actionable insights.
Location: Lviv, Warsaw
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Build and scale robust ETL/ELT pipelines for collecting and processing user activity data.
  • •Design cloud data warehouse storage and analytics architectures using modern data tools.
  • •Ensure data quality, including availability, accuracy, security, and platform-level standards (data lineage and observability).
  • •Collaborate with analytics, backend, and infrastructure teams to convert raw data into product metrics and actionable insights.

Pay and Benefits

Perks:Health InsuranceMeal AllowanceGym MembershipTravel Allowance

Key Requirements

  • •Deep production experience with Python and SQL, including optimizing complex queries for real load.
  • •Hands-on ETL/ELT orchestration experience with Airflow, Dataform, or comparable tools.
  • •Experience working with cloud platforms such as GCP, AWS, or Azure.
  • •Understanding of data warehousing, including dimensional modeling, partitioning, clustering, and cost control.
  • •5+ years as a Data Engineer in production environments with real traffic.
Experience:5+ years
Skills:OwnershipCollaborationCommunication
Tech Stack:PythonSQLETLELTBigQueryAirflowDataformGCPAWSAzure

Company Brief

SKELAR
Skelar develops cloud-native software solutions and developer tools, focusing on bespoke SaaS products and technical consultancy to help organizations build and deploy scalable applications and integrations.
Industry: Developer Tools
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