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MotorK

Automotive SaaS marketing and sales platform

Lead Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeMilan, Metropolitan City of Milan, Italy€80k /yr

About the Job

Requirements

  • Deep, hands-on expertise in data modeling and data architecture.
  • Strong production experience with a cloud data warehouse such as BigQuery, Redshift, Snowflake, or equivalent.
  • Top-tier, hands-on experience with dbt, Airflow, and Airbyte in real production environments.
  • Strong Python skills applied to data engineering pipelines and tooling.
  • Familiarity with modern data engineering concepts and genuine interest in the direction of the field, including agentic artificial intelligence.
  • Proven ability to technically lead engineers through mentorship, code review, and architectural decision-making while remaining hands-on.
  • Clear communication skills for working with technical and non-technical stakeholders.
  • Ability to move quickly with incomplete information, ship, and iterate.

Responsibilities

  • Own end-to-end data modeling architecture across the platform, balancing scalability, performance, and maintainability.
  • Define and evolve target architecture for data infrastructure, including warehouse, transformation, and orchestration layers, and the roadmap to get there.
  • Bring modern data engineering practices and patterns into how the company designs, builds, and governs its data estate.
  • Manage and optimize the cloud data warehouse, owning performance, cost, and reliability.
  • Design and build production-grade pipelines using dbt, Airflow, and Airbyte.
  • Write production Python for pipeline development, tooling, and automation.
  • Architect infrastructure supporting batch and increasingly streaming use cases.
  • Bring agentic artificial intelligence concepts into data platform architecture and operations, from pipeline automation to data-driven agent use cases.
  • Evaluate where artificial-intelligence-assisted tooling can remove manual, repetitive work from the data engineering lifecycle.
  • Lead, mentor, and set technical direction for a team of two data engineers through hands-on code review, pairing, and architectural guidance.
  • Raise engineering standards for data quality, testing, documentation, and delivery predictability.
  • Partner with product, engineering, and business stakeholders to translate requirements into robust data solutions.

Desired Qualifications

  • Experience with Kafka or other streaming technologies.

About the Company

MotorK

Automotive SaaS marketing and sales platform

MotorK provides integrated SaaS software for the European automotive sector, combining marketing and sales tools for manufacturers, dealerships, and agencies. Its offerings, such as WebSparK, connect with major third-party technologies to create a seamless digital customer journey and speed up the sales cycle. The platform is cloud-based and scalable, using big-data processing and marketing techniques to boost online lead generation, improve conversion rates, and close more deals. What sets MotorK apart is its industry focus and partner-ready integrations that tailor solutions to automotive players, rather than generic software. The company aims to help clients achieve digital transformation in automotive sales and marketing by delivering future-proof technology that drives sales and marketing success.

Company size
201-500
Company stage
IPO
Headquarters
Milan, Italy
Founded
2010

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