Dedale (ex-Software Club)

Data Engineer

Dedale (ex-Software Club)

full-time

Posted on:

Location Type: Hybrid

Location: Paris • France

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Tech Stack

AirflowBigQueryETLPythonSparkSQL

About the role

  • Define and enforce access policies: who can see what, who can change what – aligned with GDPR standards
  • Implement data quality checks and completeness monitoring across all sources
  • Build and maintain a data catalogue — making data discoverable and trustworthy
  • Own data observability: detect anomalies, lineage issues, and freshness gaps proactively
  • Design and maintain Dedale's canonical data model — the single source of truth
  • Own the full data pipeline: ingestion, transformation, storage, and serving layers
  • Select and evaluate the right tools for each layer of the stack (ETL, warehouse, orchestration)
  • Ensure coherence, consistency, and scalability as we grow
  • Automate data workflows, reducing manual steps, improving reliability and building scale
  • Design and build new pipelines that enrich raw data with external sources and computed signals
  • Partner with analysts and product teams to deliver clean, ready-to-use proprietary datasets
  • Audit and progressively migrate legacy data infrastructure toward a modern, scalable architecture
  • Identify technical debt in the data stack and drive its resolution methodically
  • Ensure zero data loss and high availability during migration phases

Requirements

  • 3 to 5 years of experience in a data engineering role
  • Proficiency in Python and SQL
  • Solid experience with data modelling, pipeline design, and warehousing (e.g. Airtable, dbt, Airflow, BigQuery, Snowflake, Spark)
  • Interest and exposure to AI/ML pipelines and feature engineering
  • Hands-on knowledge of data governance principles and tooling
  • Track record of working in a start-up or scale-up environment — you thrive with ambiguity
  • Entrepreneurial mindset: you see the big picture, propose solutions, and take ownership
  • Nice-to-haves: Experience with data migration projects
  • Familiarity with data cataloguing and observability tools (e.g. DataHub, Monte Carlo, Great Expectations)
  • Interest in growing into a Data Architect role — we will invest in your development
Benefits
  • High autonomy and direct impact from day one
  • A clear career path toward Data Architect
  • A collaborative, intellectually stimulating environment
  • Competitive compensation package
  • Flexible working arrangements
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonSQLdata modellingpipeline designdata warehousingdata governancedata migrationAI/ML pipelinesfeature engineeringdata observability
Soft Skills
entrepreneurial mindsetproblem-solvingownershipadaptabilitycollaborationcommunicationanalytical thinkingproactivityattention to detailambiguity management