Senior/Lead Data Engineer

About the role

Responsibilities:

• Maintain, troubleshoot, and improve existing data pipelines, and build new pipelines and datasets based on analytics and business requirements.
• Design and maintain analytical data models, including fact and dimension models.
• Ingest and integrate data from different source systems into the AWS Data Lake.
• Build, deploy, validate, monitor, and, when necessary, backfill data pipelines.
• Partner with data analysts to understand their requirements and provide reliable, easy-to-use datasets.
• Clarify requirements with business stakeholders rather than implementing ambiguous requests as-is.
• Ensure data quality through appropriate validation and testing, investigating data and pipeline issues and taking ownership of finding pragmatic solutions end to end.
• Use AI-assisted development tooling effectively while critically reviewing and validating generated solutions.

Requirements:

• Hands-on data engineering experience building and operating production data pipelines, ideally within analytics-driven environments.
• Strong SQL skills.
• Experience with data modeling for analytics, including fact and dimension tables.
• Experience with workflow orchestration, preferably Airflow.
• Experience working with AWS-based data environments, particularly Athena and AWS Data Lake.
• Experience with data validation, testing, and troubleshooting.
• Strong sense of ownership and engineering judgment: comfortable working with incomplete requirements, proactively seeking context, challenging assumptions when appropriate, and looking for practical solutions rather than stopping at the first blocker.
• Excellent verbal and written English skills, with clear communication across data analysts, engineers, and business stakeholders.
• Nice to have
• Experience with data mesh architectures or working in a data mesh environment.
• Experience with marketplace, web/app, or digital analytics data.
• Experience with DBT and/or Snowflake.
• Familiarity with AI-assisted engineering tools such as Codex
• We offer:
• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits
• not applicable for freelancers