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Lead Data Engineer with Databricks
New
Data

Lead Data Engineer with Databricks

Type of work
Full-time
Experience
Senior
Employment Type
B2B
Operating mode
Remote

Tech stack

    English

    B2

    Databricks

    advanced

    Data Engineering

    advanced

    Python

    advanced

    SQL

    advanced

    DevOps

    advanced

    CI/CD

    advanced

    AWS

    advanced

    Azure

    advanced

Job description

PROJECT INFORMATION:

Industry: Pharma

Remote work: 100%

Project language: English

Business trips: Occasionally to Warsaw and Denmark (every few months)

Project length: 12 months contracts + prolongations.

Start: ASAP

Assignment type: B2B


Summary: The Lead Data Engineer plays a critical role in leading transformative data engineering initiatives to optimize data infrastructure while ensuring high-quality data management solutions across the organization.


Main Responsibilities:

  • Work collaboratively with teams of data engineers to foster a culture of innovation.
  • Execute data engineering strategies in collaboration with stakeholders.
  • Define and implement best practices and standards for data engineering.
  • Facilitate efficient data management by enabling data pipelines and tools.
  • Ensure delivery of scalable and efficient data management solutions.
  • Collaborate with cross-functional teams to address technical requirements and improve efficiency.
  • Provide capabilities for achieving data quality and system performance goals.
  • Promote a culture of professional growth, diversity, and inclusion in a high-performance team.


Key Requirements:

  • A master’s degree in Data, Computer Science, or a related field.
  • 8+ years experience in software and data engineering, including at least 4 years in Data Pipeline Engineering.
  • Strong proficiency in Databricks.
  • Extensive experience with Python for data manipulation and automation.
  • Proficient in SQL for complex queries and data extraction.
  • Hands-on with DevOps and CI/CD processes.
  • Expertise in data modeling and integration.
  • 4+ years experience with Cloud Technologies like Azure and AWS.
  • Familiarity with life sciences regulatory requirements.
  • Proven leadership and exceptional communication skills.


Nice to Have:

  • Certifications in Cloud Technologies.
  • Experience designing scalable data engineering solutions.


We offer:

  • Long-term cooperation.
  • Transparently built relations based on trust and fair play.
  • Co-financed benefits: Medicover card, Multisport card.


Undisclosed Salary

B2B

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