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airSlate

Analytics Engineering Team Lead

airSlate

. Run Data Enablement and lead analytics engineers and web analytics specialists .

Posted 10/27/2026full-timeRemote • PolandSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in SQL and Python for data modeling and analytics, with a strong focus on leading teams and delivering high-quality data solutions. Proficient in designing and optimizing data pipelines, ensuring data quality, and implementing best practices in data governance.

Highest-signal resume keywords
Expert SQLExpert PythonData Warehouse DesignTeam LeadershipCloud Stack Optimization

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data EngineeringData ValidationRoot-Cause AnalysisIncremental LoadsDeduplicationSlowly Changing DimensionsSemantic Layer DesignData Quality MonitoringDecision-Focused DashboardsWorkflow Redesign
Soft Skills
CoachingCommunicationConsensus BuildingProblem SolvingFeedback Provision
Tools & Technologies
AWSAirflowDbtGTMGA4RedshiftGlueData VaultStar SchemaCI/CD Standards
Industry Keywords
B2B SaaSDocument WorkflowE-SignatureAnalytics EngineeringBusiness Intelligence

Tech Stack

Tools & technologies
AirflowAmazon RedshiftAWSCloudPythonSQLVault

About the role

Key responsibilities & impact
  • Run Data Enablement and lead analytics engineers and web analytics specialists
  • Set team priorities, coach team members, and maintain a steady delivery rhythm
  • Own the semantic layer end-to-end
  • Design, build, and evolve SQL-based models and metric definitions
  • Turn raw product and event data into curated, tested, documented datasets
  • Automate routine data curation with tracking checks and data-quality monitoring
  • Set modeling, version control, testing, release, and code review standards
  • Partner with Data Business Partners, Data Science/ML, and Data Platform on scope and ownership
  • Stay close to the code on critical builds

Requirements

What you’ll need
  • 5+ years in analytics, data or BI engineering
  • 2+ years leading a team or leading others technically
  • Expert SQL and Python
  • Experience with incremental loads, deduplication, and slowly changing dimensions
  • Experience designing warehouse and mart models, including a semantic layer
  • Knowledge of star schema, Data Vault, or equivalent methodologies
  • Experience optimizing and troubleshooting pipelines on cloud stacks such as AWS (Athena, Redshift, Glue)
  • Experience with orchestration tools such as Airflow
  • Experience setting branching, code review, schema and data testing, CI, and release standards
  • Experience with data validation, root-cause analysis, and documentation standards
  • Ability to design solutions for complex problems and build decision-focused dashboards
  • Experience redesigning workflows around AI tools and evaluating AI outputs for quality, privacy, and bias
  • Experience owning complex team-level projects and making high-impact decisions
  • Experience coaching people, identifying skill gaps, and providing regular feedback
  • Ability to clarify complex ideas, build consensus across teams and time zones, and communicate in fluent English
  • Experience with dbt or a similar transformation framework, web analytics and tracking (GTM, GA4), or B2B SaaS/document-workflow/e-signature is nice to have

Benefits

Comp & perks
  • Flexible working environment with remote and hybrid working options
  • Performance-based bonus system
  • Stock options
  • Courses, conferences, and access to learning resources
  • Career growth and internal mobility support
  • Health coverage
  • Wellness programmes and access to fitness options
  • Quarterly company-wide Mental Health Days
  • Flexibility for parents
  • airSlate Junior Club for kids
  • Company-wide family days
  • Pet-friendly approach
  • Charitable initiatives through the airSlate Care programme
  • Matching employee donations