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Scalian

Engineering and consulting in AI avionics

Technical Lead Data Snowflake

Data EngineeringConfirmed live in the last 24 hours
Full-timeCasablanca, MoroccoNo salary listedRemote

About the Job

Requirements

  • Higher education in computer science, data engineering, or an equivalent field.
  • At least 10 years of data engineering experience, including some experience with Snowflake.
  • Significant experience as a Tech Lead, Lead Data Engineer, or Data Product Owner in a complex environment.
  • Experience gathering business requirements and formalizing them.
  • Strong command of Snowflake, including data modeling, advanced SQL, query optimization, and warehouse management.
  • Experience designing ETL/ELT data pipelines using tools such as Airflow, dbt, Talend, or Informatica.
  • Understanding of cloud architectures, including Azure and AWS.
  • Knowledge of data modeling approaches, including Data Vault, Kimball, and Star Schema.
  • Proficiency with CI/CD tools and DevOps environments applied to data.
  • Experience with data security, governance, and quality.
  • Knowledge of AI/ML and experience collaborating with Data Science teams.
  • Ability to analyze business needs, including those in finance, supply chain, and marketing.
  • Ability to design simple, value-oriented solutions.
  • Ability to detect anomalies and propose prompt corrective actions.
  • Experience creating dashboards and key indicators.
  • Fluent written and spoken English.

Responsibilities

  • Define and validate technical choices for Snowflake.
  • Ensure the performance, security, and scalability of the Data platform.
  • Implement mechanisms to detect anomalies and continuously optimize data flows.
  • Guide and support a team of Data Engineers and developers.
  • Validate developed pipelines and ensure their industrialization.
  • Promote and apply team guidelines and standards.
  • Gather business needs and translate them into pragmatic, effective Data solutions.
  • Design and deliver dashboards relevant to monitoring business activities.
  • Propose data architectures suited to use cases.
  • Facilitate collaboration between technical and functional teams.
  • Identify opportunities for optimization.
  • Evaluate and introduce new tools, frameworks, and methodologies into the Data ecosystem.
  • Make strategic recommendations on cloud usage, including Azure and AWS, and Data/AI solutions.

Desired Qualifications

  • Experience in the automotive industry or in large international groups.

About the Company

Scalian

Engineering and consulting in AI avionics

Scalian Group provides engineering and consulting services to multiple industries, with a focus on AI, avionics, and information systems security. It helps clients by offering tailored solutions built from consulting, managed security services, and software offerings. The company works by combining advisory work, implementation support, and ongoing security and software management to meet each client’s specific needs. What sets Scalian apart is its emphasis on an agile approach and its deep, industry-specific expertise in aerospace and security, enabling rapid adaptation and high-performance results for global industrial leaders. The company aims to deliver precise, reliable solutions that improve performance, security, and efficiency for its clients.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$612.7M
Headquarters
Labège, France
Founded
1989

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