Location Data engineer

Amo
Paris
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceSkills: ["Communication","Analytical skills","Curiosity","Craftsmanship","Problem-solving"]

Build and maintain production-ready data pipelines and features from large-scale datasets. Explore complex event and behavioral data to identify signals, transform raw data into reliable metrics, and create analyses, dashboards, and visualizations to improve product and engineering decisions. Partner with product and data teams to prototype on historical data, evaluate quality with metrics and evaluation frameworks, and improve data infrastructure performance, reliability, and maintainability.

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FursaFursa
Amo
Amo
23 hours ago

Location Data engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build and maintain production-ready data pipelines and features from large-scale datasets. Explore complex event and behavioral data to identify signals, transform raw data into reliable metrics, and create analyses, dashboards, and visualizations to improve product and engineering decisions. Partner with product and data teams to prototype on historical data, evaluate quality with metrics and evaluation frameworks, and improve data infrastructure performance, reliability, and maintainability.
Location: Paris
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence

Key Responsibilities

  • •Explore large and complex datasets to understand user behavior and identify useful patterns and signals.
  • •Transform raw data into reliable, well-defined features for product and engineering teams.
  • •Design, build, and maintain pipelines to process large volumes of data efficiently and reliably.
  • •Prototype and evaluate data ideas on historical data, then build pipelines to run them at scale.
  • •Monitor and improve data quality while investigating unexpected changes or anomalies.

Pay and Benefits

Perks:Health InsurancePaid LeaveRelocation

Key Requirements

  • •Strong software engineering fundamentals and experience working with data-intensive systems.
  • •Very comfortable with SQL and manipulating large datasets.
  • •Experience with one or more modern data technologies such as Spark, DBT, Dagster, BigQuery, ClickHouse, DuckDB, or equivalent tools.
  • •Strong analytical skills, including testing hypotheses and understanding data behavior.
  • •Ability to turn exploratory analysis into reliable, production-ready data pipelines and features.
Experience:Data engineeringData-intensive systemsMachine learningConsumer-facing products
Skills:CommunicationAnalytical skillsCuriosityCraftsmanshipProblem-solving
Tech Stack:SQLSparkDBTDagsterBigQueryClickHouseDuckDBData modelingPipeline orchestrationDashboardsVisualizationsMachine learning

Company Brief

Amo
Amo is a Paris-based startup building social apps that focus on private friend networks and creative social interactions across multiple products (Tilt, Bump, ID), launched in 2023 to refocus social media around close connections.
Industry: Digital Media
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Valuation: USD 50M to 100M
Funding: Seed
Headquarters: Paris, France
Founded: 2023
WebsiteLinkedInGlassdoor