Senior Data Engineer

Dragonfly

Senior Data Engineer focusing on building data platforms at Dragonfly startup. Collaborating with product engineers to develop and maintain data pipelines in a hybrid environment.

Posted 7/27/2026full-timeTallinn • 🇪🇪 EstoniaSenior💰 €7,000 - €9,000 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI-driven development, particularly in directing AI coding tools to produce reliable SQL and Python code. Proficient in data engineering practices, including building production pipelines and utilizing managed ingestion tools effectively.

Highest-signal resume keywords

AI-Native DevelopmentPython ProgrammingSQL (BigQuery Dialect)Data Engineering ExperienceGCP Services (BigQuery, Dataform, Dataplex, Cloud Run)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLData EngineeringData ModellingProduction PipelinesIngestion ToolingEmpirical ValidationSignal WeightsQuality ThresholdsData Pipeline Patterns

Tools & Technologies

AirbyteMeltanoFivetranClaude CodeGCPCloud RunDataformDataplex

Industry Keywords

Managed Ingestion ToolingMedallion PatternsLakehouse PatternsQuality MonitoringOrchestrationLineage

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Own making this run reliably.
Evaluate and implement managed ingestion tooling (Airbyte, Meltano, or similar) for batch sources.
Extend governance layer that's automated, not bureaucratic.
Enable product engineers building the webapp, AI agents, and recommender system to iterate on data without needing to understand the plumbing.
Iterate on signal weights and quality thresholds with empirical validation.
Use AI coding tools as your primary development environment.

Requirements

What you’ll need

AI-native. This is the most important requirement. AI writes most of our code — Claude Code, not you, will be producing the SQL, Python, and infrastructure. Your job is to direct it well, understand what it produces, and know when it's wrong. If you're not already using AI coding tools daily to ship real work, this isn't the right role.
Solid foundations. You need to understand Python, SQL (BigQuery dialect — window functions, STRUCT/ARRAY, UDFs), GCP services (BigQuery, Dataform, Dataplex, Cloud Run), and data pipeline patterns well enough to review and course-correct what AI generates. You don't need to write every line yourself, but you need to know when something is wrong.
Data engineering experience. You've built production pipelines before — you understand the difference between "it works when I run it" and "it runs reliably in production." Experience with ingestion tooling (Airbyte, Meltano, Fivetran), data modelling, and medallion/lakehouse patterns.
Reach for off-the-shelf first. Most of what we need is a solved problem — ingestion, orchestration, lineage, quality monitoring. We want someone who assembles the right tools rather than building custom solutions for problems that don't need them. Write code for what's genuinely unique to Dragonfly; use existing tools for everything else.

Benefits

Comp & perks

The opportunity to define and shape the content narrative of a high-potential startup from day one.
Creative freedom and a high-trust environment focused on outcomes over process.
Direct access to founders and an experienced, mission-driven team.
Competitive salary.
Hybrid work options.
An intellectually stimulating environment where speed, curiosity, and product delivery are celebrated.