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Morgan Black

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Senior / Lead Data Engineer

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Summary

A senior/lead data engineer joins a compact data team to drive the transition to dbt within a Databricks environment. Day to day: hands-on pipeline and transformation development, implementing dbt best practices, and mentoring/guiding two other data engineers.

As a Senior / Lead Data Engineer, you will work within a data-driven environment focused on the further development and professionalization of the data platform. The main focus of this assignment is the transition to dbt (Data Build Tool) within a Databricks environment. You will work alongside two other Data Engineers, combining hands‑on development with a technical leadership role within the team.

Responsibilities

  • Execute and guide the transition to dbt within the existing Databricks environment
  • Develop and optimize data pipelines and transformations hands‑on
  • Implement best practices around dbt and modern data engineering
  • Provide technical direction and guidance to the Data Engineering team
  • Support and mentor two other Data Engineers, actively sharing and transferring knowledge
  • Ensure the quality, scalability and maintainability of data solutions
  • Contribute to the further professionalization and standardization of data engineering practices
  • Collaborate with the team responsible for setting up and managing the Databricks environment

Profile

As a Senior / Lead Data Engineer, you combine strong hands‑on technical expertise with the ability to guide and support other engineers. You have previously executed a transition to dbt and can demonstrate this experience through a specific project. You are independent, communicative and comfortable taking technical ownership while remaining actively involved in development.

Requirements

  • Senior or Lead-level experience within Data Engineering
  • Strong hands‑on experience with Databricks
  • Extensive knowledge and practical experience with dbt (Data Build Tool)
  • Proven experience executing a transition to dbt
  • Ability to demonstrate your dbt transition experience through a specific project
  • Experience developing and optimizing modern data pipelines and transformations
  • Strong understanding of data engineering best practices
  • Ability to provide technical guidance to other Data Engineers
  • Strong communication skills and experience with knowledge sharing and mentoring

Nice‑to-haves

  • Previous experience as a Lead Data Engineer or technical team lead
  • Experience coaching or mentoring Data Engineers
  • Experience working within large‑scale Databricks environments
  • Experience professionalizing and standardizing data engineering processes

Company Description

You will join a modern, data‑driven environment where the data platform is being further developed and professionalized. You will work within a compact Data Engineering team and play an important role in the transition to dbt. A separate team is responsible for setting up and managing the Databricks environment, allowing you to focus on data engineering, the dbt transition and supporting the team throughout this process.

Offer

  • Option to extend
  • Wednesday is the designated office day

Skills

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See also

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