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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading high-performing data engineering teams, driving technical leadership in data ingestion, modeling, and governance, while fostering a people-centric culture through mentorship and clear communication.
Highest-signal resume keywords
Data Engineering ManagementTechnical LeadershipModern Data Stack TechnologiesData Governance and ComplianceStakeholder Collaboration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringData ModelingData GovernanceBatch and Streaming IngestionCode Quality ImprovementPerformance MeasurementSystems ThinkingTechnical JudgmentCloud PlatformsDevOps Practices
Soft Skills
Coaching and MentorshipTeam-BuildingClear CommunicationEmpathyAccountability
Tools & Technologies
SparkFlinkKafkaDebeziumAirflowDbtAWSGCPAgentic AIFeature Stores
Industry Keywords
Data ContractsIngestion LayersML Data PipelinesEthical LeadershipFast-Growing Companies
Tech Stack
Tools & technologiesAirflowAWSCloudGoogle Cloud PlatformKafkaSpark
About the role
Key responsibilities & impact- Lead and grow a high-performing data engineering team
- Coach and develop engineers through feedback, mentorship, and career development
- Define and drive the long-term vision for Preply's Lakehouse, ingestion layers, data contracts, enrichment, and governance
- Identify and prioritize high-impact opportunities with Analytics, ML Platform, Data Science, and Product teams
- Translate strategy into realistic execution plans while balancing platform investment and near-term needs
- Provide technical leadership across batch and streaming ingestion, data modeling, quality, and governance
- Establish SLOs, observability, and incident response for data pipelines
- Drive improvements in code quality, operational excellence, development processes, and technology evolution
- Collaborate with stakeholders across the business on priorities, data ownership, standards, and outcomes
- Own hiring quality, team composition, and operating model
Requirements
What you’ll need- 8+ years of software or data engineering experience
- 5+ years in engineering management
- Experience leading data or platform engineering teams
- People-centric approach and team-building skills
- Strong technical judgment and systems thinking
- Experience hiring, coaching, and retaining high-performing teams, including senior engineers
- Experience partnering with Analytics, Data Science, ML, and Product teams
- Clear communication and stakeholder leadership
- Track record of driving performance and measurable goals
- Ethical leadership demonstrating empathy, transparency, accountability, and ownership
- Hands-on familiarity with modern data stack technologies such as Spark, Flink, Kafka, Debezium, Airflow, or dbt
- Familiarity with AWS, GCP or equivalent cloud platforms and modern DevOps practices
- Experience leading data platforms used by multiple teams in fast-growing companies
- Experience running a data platform as a product
- Experience with data governance, privacy, and compliance at ingestion time
- Familiarity with feature stores, ML data pipelines, or GenAI/RAG use cases
- Experience using Agentic AI for architecture, planning, and decision-making
Benefits
Comp & perks- A generous monthly allowance for lessons on Preply.com
- Learning & Development budget
- Time off for self-development
- Equity
- Leave allowance
- Health insurance
- Free mental health support platforms
- Gympass-partnered wellness and gym centers throughout London
- Open, collaborative, dynamic, and diverse culture