Data Engineer II - Platform Analytics - Kibana Platform - AppEx at Elastic

, , Spain -

Full Time

Start Date

Immediate

Expiry Date

24 May, 26

Salary

0.0

Posted On

23 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data Engineering, GCP, Data Ingestion, Data Transformation, BigQuery, dbt, Data Modeling, Data Quality, System Health, AI Tools, Analytical Skills, Problem-Solving Skills, Communication Skills

Industry

Software Development

Description

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 BigQuery 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 BigQuery 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/affirmative action employer committed to diversity, equity, and inclusion. 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 encryption software and technology that is subject to U.S. 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, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). 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.

Responsibilities

The role involves building, enhancing, and maintaining scalable data ingestion and transformation pipelines, as well as developing and optimizing analytics datasets using BigQuery and dbt. Responsibilities also include supporting existing data systems and designing scalable data models to ensure trusted analytics and reporting.