Team Lead, Data Engineering

DataSnipper

. Lead a team of two data engineers through outcomes, set goals, and trust the team to determine execution .

Posted 10/14/2026full-timeAmsterdam • NetherlandsSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong leadership in data engineering, focusing on team development, performance management, and technical direction. Proficient in cloud data warehousing, particularly with Snowflake, and skilled in data modeling, event-driven architectures, and transformation frameworks like dbt.

Highest-signal resume keywords

Team LeadershipData EngineeringSnowflake ManagementPython ProgrammingEvent-Driven Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonDbtData ModelingEvent IngestionSchema ManagementCloud Data WarehousePerformance TuningReverse ETLData Governance

Soft Skills

CommunicationEmpowerment LeadershipFeedback DeliveryPrioritization JudgmentBias to Action

Tools & Technologies

SnowflakeAzureFivetranMongoDBPostgresHubSpotTerraformDockerMixpanelRudderStack

Industry Keywords

Data EngineeringCloud PlatformEvent-Driven ArchitectureProduction Data SystemsData Products

Tech Stack

Tools & technologies

AWSAzureCloudDockerETLGoogle Cloud PlatformMongoDBPostgresPythonSQLTerraformTypeScript

About the role

Key responsibilities & impact

Lead a team of two data engineers through outcomes, set goals, and trust the team to determine execution
Raise the engineering bar, develop engineers, address performance issues, and own goals and development
Run regular 1:1s and provide clear, timely feedback
Foster experimentation, learning, documentation, and operational excellence
Participate in hiring and help shape the team's scope
Partner with Product, Engineering, Customer Success, and GTM to shape the roadmap
Make build, defer, and no-pipeline trade-offs for a small team serving the company
Set technical direction and make architectural decisions
Manage Snowflake performance and cost, technical debt, dependencies, and compliance obligations
Support engineering teams with new instrumentation
Contribute to event ingestion architecture using Azure Event Hubs, Snowpipe, Fivetran, and Python/TypeScript event client libraries
Build and review dbt transformation pipelines
Define and enforce event contracts and schemas
Evolve event, user, license, and company data models and integrate product backends, MongoDB, HubSpot, and billing sources
Guide reverse ETL and activation into HubSpot, MongoDB, Postgres, and GTM reporting

Requirements

What you’ll need

At least 1 year leading engineers as a team lead or engineering manager, including 1:1s, feedback, goal setting, performance, and development
Empowerment style of leadership
Evidence of growing engineers and raising a team's bar, with willingness to address performance issues directly
Strong product aptitude and ability to translate stakeholder needs into technical solutions and make roadmap trade-offs
7+ years in data engineering or a closely related backend/platform role
Deep SQL and strong Python, including query optimization and performance tuning on a cloud warehouse
Production experience with a cloud data warehouse, particularly Snowflake, and a modern transformation framework, particularly dbt
Experience with event-driven/streaming ingestion and failure modes including schema drift, duplication, late data, and backfills
Experience with a cloud platform at infrastructure level; Azure experience or transferable AWS/GCP experience
Solid data modeling fundamentals
Experience operating production data systems with focus on reliability, observability, and maintainability
Excellent communication in English and comfort working with non-technical stakeholders
Bias to action, strong ownership, and prioritization judgment
Preferred: startup or scale-up experience
Preferred: experience hiring engineers or helping a team expand its scope
Preferred: product analytics tooling such as Mixpanel or RudderStack and warehouse-native BI
Preferred: data products for AI or agent consumption
Preferred: Terraform, Docker, data governance at scale, reverse ETL, and CRM/customer success platform data models

Benefits

Comp & perks

28 vacation days
Pension plan
Stock participation plan
Hybrid work (Amsterdam-based)
International team and environment
Daily lunch
Mental health support (OpenUp)
Social events and team activities