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Adolf Würth GmbH & Co. KG
2mo ago

Senior Machine Learing Engineer on Databricks(m/w/x)

Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science

Description

In this role, you will tackle technical challenges by implementing ML services on Databricks, collaborating with teams to drive scalable projects, and continuously improving processes to deliver high-quality software solutions.

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Requirements

  • At least 2 years of experience in Machine Learning Engineering on Databricks
  • At least 5 years of experience in Software Engineering with one additional high-level programming language
  • Solid understanding of SQL and experience with relational databases (HANA, MS SQL, MySQL)
  • Advanced knowledge of Linux and Operating Systems, and experience with Spark Clusters
  • Strong problem-solving skills and ability to work independently and in a team
  • Good communication and presentation skills in English and basic skills in German

Work Experience

2 years

Tasks

  • Implement and productionize ML-based services on Databricks using Python, SQL, and Linux
  • Consult and enable cross-functional teams to build efficient and scalable big-data and data-science projects
  • Take over production responsibility to ensure continuous business value
  • Improve standard processes and best practices for services and projects on the platform
  • Help reduce costs for services and projects
  • Write clean, maintainable, and efficient code following best practices and coding standards
  • Perform unit testing and debugging to ensure high-quality software delivery
  • Collaborate with adjacent teams on governance, infrastructure, data provisioning, and scheduling
  • Work on CI/CD and data engineering topics
  • Stay up-to-date with industry trends and technologies to enhance software and service offerings

Tools & Technologies

DatabricksSQLHANAMS SQLMySQLLinuxSpark

Languages

EnglishBusiness Fluent

GermanBasic

Benefits

Flexible Working

  • Flexible working hours

Bonuses & Incentives

  • Performance-based bonus
  • Loyalty bonuses
  • Employee referral program

Company Vehicle

  • Company car option

Other Benefits

  • Anniversary gifts

Additional Allowances

  • Birth allowances
  • Wedding allowances
  • Relocation cost reimbursement

More Vacation Days

  • 30 days of annual vacation

Modern Equipment

  • Company smartphone
  • Modern work equipment

Workation & Sabbatical

  • Workation
  • Sabbatical

Mentorship & Coaching

  • Comprehensive onboarding

Learning & Development

  • Personalized training program
  • Career and development programs

Healthcare & Fitness

  • Health and fitness programs
  • Health days
  • Company sports groups
  • Running clubs
  • Access to company health insurance

Free or Subsidized Food

  • Fresh fruit days

Informal Culture

  • Flat hierarchies
  • Culture of appreciation

Team Events

  • Employee events

Corporate Discounts

  • Corporate benefits program

Snacks & Drinks

  • Free hot and cold beverages

Company Bike

  • Company bike

Public Transport Subsidies

  • Public transport subsidy
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