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职位Databricks

Recruiter, Tech

Databricks

Recruiter, Tech

Databricks

London, United Kingdom

·

On-site

·

Full-time

·

4w ago

必备技能

Spark

Excel

Mission

We're looking for a Tech Recruiter with experience driving recruitment in the EMEA region, to help us identify and hire great people for Databricks as we continue our expansion. You will conceive practical and creative ways to identify leading talent and invest considerable time activating and engaging passive candidates. You will use data to set benchmarks and metrics to create targeted recruiting strategies while partnering with leadership to build inspired teams.

The impact you will have:

  • Apply your knowledge to meet our hiring needs and develop unique full-cycle hiring strategies

  • Build engaged talent pipelines, with active and passive candidates which can sustain long-term hiring goals

  • Create closing approaches to manage partner expectations through market data

  • Lead the business with data to promote future workforce planning decisions and accurate forecasting

  • Help Databricks to provide a positive interview experience for all and periodically review experiential data to enhance our offering and drive Diversity and Inclusion in our hiring

What we look for:

  • Experience building partnerships within the business and cross-functionally.

  • You will have had success in scaling a high-growth software/Data/AI company and be able to bring your learning from your success to our team.

  • 2-3 years experience in an in-house recruiting environment, focussed on the SaaS software, ideally within the Data and AI space.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits:

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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关于Databricks

Databricks

Databricks

Series I

Databricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.

6,000+

员工数

San Francisco

总部位置

$43B

企业估值

评价

3.8

10条评价

工作生活平衡

2.8

薪酬

4.0

企业文化

4.2

职业发展

3.5

管理层

4.0

72%

推荐给朋友

优点

Innovative technology and cutting-edge projects

Supportive and collaborative team environment

Good benefits and competitive compensation

缺点

Poor work-life balance and long hours

High pressure and stressful environment

Heavy workload and overtime requirements

薪资范围

34个数据点

Mid/L4

Senior/L5

Mid/L4 · Corporate Development Manager

1份报告

$171,004

年薪总额

基本工资

$148,699

股票

-

奖金

-

$171,004

$171,004

面试经验

6次面试

难度

3.2

/ 5

时长

21-35周

体验

正面 0%

中性 83%

负面 17%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Coding Round

5

Onsite/Virtual Interviews

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge