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Elastic
Elastic

Search. Observe. Protect.

Data Engineer II - Platform Analytics - Kibana Platform - AppEx

직무데이터 엔지니어링
경력미들급
위치Greece
근무오피스 출근
고용정규직
게시2개월 전
지원하기

필수 스킬

Python

SQL

Kubernetes

Terraform

GCP

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

What is The Role

We’re looking for a Data Engineer to join our Platform Analytics team. In this role, you’ll help build and maintain scalable data pipelines and analytics solutions that support business, product, and technical use cases across Elastic. You’ll work closely with cross-functional partners to deliver reliable, high-quality data in a fast-moving, distributed environment.

What You Will Be Doing

  • Build, enhance, and maintain data ingestion and transformation pipelines

  • Develop and optimize analytics datasets using Big Query and dbt

  • Support and maintain existing data systems as needed to ensure continuity and data reliability

  • Design scalable data models that enable trusted analytics and reporting

  • Partner with product managers, analysts, and solution teams to translate ambiguous requirements into effective data solutions

  • Monitor data quality and system health to ensure accurate, timely insights

What You Bring

  • Strong experience with SQL and Python

  • 3+ years of experience in Data Engineering, preferably on Google Cloud Platform (GCP)

  • Experience designing and operating production data pipelines at scale

  • Good knowledge of architecture and design (patterns, reliability, scalability, quality) of complex systems

  • Familiarity with Big Query and modern ELT tools (e.g., dbt)

  • Experience with AI tools and workflows

  • Strong analytical and problem-solving skills

  • Clear written and verbal communication skills

Bonus Points

  • Experience with Buildkite and Terraform

  • Experience with Dataflow on GCP

  • Experience with Elasticsearch

  • Experience with Kubernetes

Additional Information

  • We Take Care of Our People

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

  • Competitive pay based on the work you do here and not your previous salary

  • Health coverage for you and your family in many locations

  • Ability to craft your calendar with flexible locations and schedules for many roles

  • Generous number of vacation days each year

  • Increase your impact

  • We match up to $2000 (or local currency equivalent) for financial donations and service

  • Up to 40 hours each year to use toward volunteer projects you love

  • Embracing parenthood with minimum of 16 weeks of parental leave

Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission.

Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)

Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.

Please see here for our Privacy Statement.

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Elastic 소개

Elastic

Elastic

Public

Elastic is a Dutch-American software company that provides a platform for enterprise search, observability, and cybersecurity. Its product enables users to search and analyze large-scale data, monitor system performance, and detect anomalies.

201-500

직원 수

Mountain View

본사 위치

$8.5B

기업 가치

리뷰

10개 리뷰

3.8

10개 리뷰

워라밸

3.8

보상

2.5

문화

4.2

커리어

2.8

경영진

2.3

65%

지인 추천률

장점

Flexible work arrangements and schedules

Supportive team and colleagues

Good benefits and health coverage

단점

Below average compensation and salary

Limited career advancement opportunities

Heavy workload and high stress

연봉 정보

247개 데이터

Senior/L5

Senior/L5 · Senior Analyst, Sales Strategy & Operations

1개 리포트

$212,750

총 연봉

기본급

$185,000

주식

-

보너스

-

$212,750

$212,750

면접 후기

후기 6개

난이도

3.3

/ 5

소요 기간

14-28주

합격률

17%

경험

긍정 0%

보통 83%

부정 17%

면접 과정

1

Application Review

2

Resume Screening

3

HR/Recruiter Screen

4

Technical Phone Screen

5

System Design Interview

6

Onsite/Final Round Interview

자주 나오는 질문

Coding/Algorithm

System Design

Infrastructure Design

Technical Knowledge

Behavioral/STAR