Elastic Observability - Eng Prod Performance Engineer 

Spain 

969020879

We’re looking for a

You’ll join a remote-friendly, team that values curiosity, clarity, and action to deliver impact to the business. You’ll have room to grow, freedom to explore, and the support you need to do your best work—while learning how data helps shape every part of our business.

Turning Data Into Decisions

• Build clean, scalable dashboards and tools using SQL (BigQuery), dbt, and Tableau
• Analyze complex data to answer key business questions—and turn insights into action
• Handle ad hoc asks in Google Sheets, while staying focused on big-picture, long-term impact
• Support senior leaders with clear, accurate reporting for exec and board-level needs
• Question assumptions and get to the root of the problem, not just the request
• Validate your work thoroughly and explore data anomalies with curiosity

Working Independently, While Staying Connected

• Take ownership of projects from start to finish—managing your own scope, priorities, and timelines
• Collaborate across time zones and teams (Sales, Field Ops, Data Engineering, and more) to ensure alignment and data consistency across data sources and reporting
• Spot data issues early and partner with the right folks to fix them at the source
• Help keep our reporting consistent and aligned across tools and teams

Learning, Growing, and Making an Impact

• Build real-world experience in Revenue Operations while learning how the business runs
• Lead high-impact projects that shape go-to-market strategy
• Grow your skills in areas like predictive analytics, data architecture, and business planning
• Work directly with senior leaders and build strong relationships across the company
• Be part of a team where your ideas and work make a visible difference

• 6+ years of experience in data analytics, BI, or a similar role—ideally in a high-impact, fast-paced environment
• Strong SQL skills (BigQuery preferred); experience with dbt is a plus
• Proficient with data visualization tools like Tableau or Power BI. Experience with predictive analytics is a plus.
• Experience working with Salesforce or similar sales data tools
• Comfortable working in Google Sheets to support quick turnaround requests
• Familiarity with B2B SaaS and a solid understanding of sales or post-sales data
• Experienced in managing complex projects with clarity and focus —you know how to prioritize, follow through, and get unblocked when needed
• Clear, proactive communicator who can explain complex ideas simply and help others make informed decisions

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 a minimum of 16 weeks of parental leave

Applicants have rights under Federal Employment Laws and can view the following posters linked below:

Elasticsearch develops and distributes technology and information that is subject to U.S. and other country 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

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

The typical starting salary range for this role is:

$89,100—$140,900 USD

$106,800—$168,900 USD