Data Engineering – Analytics Manager

Insify

. Lead a team of 3–4 data engineers and analysts end to end, including team direction, production operations, hiring and growth .

Posted 10/23/2026full-timeAmsterdam • NetherlandsMid-LevelSenior💰 €85,000 - €110,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data teams, prioritizing data needs, and scaling data platforms while ensuring engineering excellence. Proficient in managing cross-functional communication and leveraging AI to enhance operational efficiency.

Highest-signal resume keywords

Data Team LeadershipData Stack ExpertiseAI UtilizationB2B Product DevelopmentDatabricks and dbt Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData AnalysisSQL-Based TransformationEvent TrackingData PrioritizationCash ReconciliationReportingData ContractsCI TestingWarehouse Modeling

Soft Skills

Team DirectionCommunicationDecision-MakingInfluencingOwnership

Tools & Technologies

DatabricksDbtSnowplowAWS

Industry Keywords

InsuranceFintechB2B ProductsCross-Country Markets

Tech Stack

Tools & technologies

AWSSQLUnity

About the role

Key responsibilities & impact

Lead a team of 3–4 data engineers and analysts end to end, including team direction, production operations, hiring and growth
Run discovery with served teams to understand data needs and provide enabling platforms and datasets
Own trade-offs among Growth, carrier reporting, finance and actuarial; prioritize work, align partners and make difficult scope decisions
Scale the data platform so new countries, carriers and products use configuration and reusable models
Automate recurring manual work such as carrier reporting and cash reconciliation
Establish engineering excellence through data contracts, CI testing, resolved alerts and pre-production change validation
Review warehouse models and remain hands-on with data and technical decisions
Lead the team's communication, development and overall performance

Requirements

What you’ll need

Experience managing or leading a data team, including hiring, feedback and growing people
Depth on one side of the data stack and working fluency on the other
Experience shaping data priorities from business problems, cutting scope and influencing decisions
Ownership and impact instinct, including working beyond team boundaries when needed
Ability to use AI effectively in daily work and evaluate where it helps or hurts
Experience with reporting that has to reconcile: bordereaux, revenue, cash, ledger (nice to have)
Experience building B2B products, especially in insurance and fintech (nice to have)
Experience working on products distributed across different country markets (nice to have)
Experience with Databricks, dbt and event tracking such as Snowplow (nice to have)
Databricks with Unity Catalog, dbt with SQL-based transformation and AWS are used in the stack, but are not hard requirements

Benefits

Comp & perks

Performance-based equity grants
Hybrid work: 3 days in the office and 2 from home
Up to 4 weeks a year working from abroad
25 holiday days
6% employer pension contribution
€50 net monthly wellbeing budget via Epassi, rolling over
Internal leadership programs and coaching
Shared lunches
Dogs in the office
Friday drinks
High-spec MacBook Pro