Senior Data Engineer - Databricks Lakehouse (Remote)

Flying Tiger Copenhagen

København

Hybrid

DKK 522,388 - 671,642

Full time

14 days+

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Benefits offered by this job

Flexible work environment
Private health insurance
Pension scheme
Social and dynamic culture

Job summary

Flying Tiger Copenhagen is seeking an experienced Senior Data Engineer to build scalable, business-critical data platforms. You will design and optimize Lakehouse solutions on Databricks, working closely with internal teams to ensure best practices.

The ideal candidate has strong expertise in data engineering and a collaborative mindset. Responsibilities include designing architecture pipelines, optimizing workloads, and mentoring colleagues.

Join a dynamic and international team in Copenhagen, and enjoy benefits like a flexible work environment and private health insurance.

Qualifications

  • Solid experience within modern Data Engineering and Lakehouse architectures.
  • Extensive hands-on expertise with Databricks and cloud-based data platforms.
  • Strong programming capabilities in Python (PySpark) and SQL.

Responsibilities

  • Design and implement scalable medallion architecture pipelines.
  • Develop and optimize Spark and Databricks workloads.
  • Lead performance tuning initiatives for data workloads.

Skills

Data Engineering
Apache Spark
Databricks
Python
SQL
Data Governance
CI/CD Automation

Tools

Databricks
Azure DevOps
Terraform

Job description

Flying Tiger Copenhagen is seeking an experienced Senior Data Engineer to build scalable, business-critical data platforms. You will design and optimize Lakehouse solutions on Databricks, working closely with internal teams to ensure best practices.

The ideal candidate has strong expertise in data engineering and a collaborative mindset. Responsibilities include designing architecture pipelines, optimizing workloads, and mentoring colleagues.

Join a dynamic and international team in Copenhagen, and enjoy benefits like a flexible work environment and private health insurance.

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