Is the Senior AI Data Engineer role remote?

It's hybrid — Elastic expects some on-site time in Spain.

How much experience is required?

At least 3 years of relevant experience for this Senior AI Data Engineer role.

Where is the role based?

Elastic is hiring for this position in Spain.

What's the tech stack?

Joblaze extracted these technologies from the posting: AWS, Airflow, SQL, Dagster, Python, Elasticsearch.

What seniority level is this role?

Elastic targets senior candidates for this position.

Is this full-time or contract?

Full-time for this Senior AI Data Engineer role at Elastic.

Senior AI Data Engineer at Elastic

Joblaze summary

In this role, the Senior AI Data Engineer at Elastic focuses on creating and maintaining a unified, AI-ready customer dataset that supports the Sales teams' operations. The position requires expertise in data pipeline construction, particularly with CRM data, and proficiency in tools like Python and SQL, alongside experience in preparing data for AI applications. This role is ideal for a seasoned data professional with a strong background in GTM systems and a knack for managing complex data challenges. Elastic's emphasis on responsible data handling and governance adds a critical layer to the responsibilities.

Joblaze insights

Listed today on Joblaze — tracked directly from Elastic's career page.
Elastic has 213 other open roles including Mid-Market Account Executive, Senior SRE - Platform (Managed Kubernetes Infrastructure), Delivery Manager.
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Quick facts

Is the Senior AI Data Engineer role remote?: It's hybrid — Elastic expects some on-site time in Spain.
How much experience is required?: At least 3 years of relevant experience for this Senior AI Data Engineer role.
Where is the role based?: Elastic is hiring for this position in Spain.
What's the tech stack?: Joblaze extracted these technologies from the posting: AWS, Airflow, SQL, Dagster, Python, Elasticsearch.
What seniority level is this role?: Elastic targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Senior AI Data Engineer role at Elastic.

From the original posting

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.

Job location: Spain

What is The Role

Every forecast, territory plan, and customer conversation at Elastic depends on the quality of our customer data. We're looking for a Senior AI Engineer to join the RevTech Engineering team inside Revenue Operations and shape the data foundation our Sales teams rely on.

Our customer data lives across Salesforce, marketing automation, billing, product telemetry, and support systems. Each has its own definitions, gaps, and drift. This role turns that fragmented reality into a trusted, enriched, AI-ready dataset — and keeps it that way as Elastic scales.

You'll partner with RevOps analysts, GTM systems teams, and the field organization to make sure the people closest to our customers are working from a customer view they can trust. The work is field-facing: success looks like better account scoring, cleaner segmentation, faster onboarding for new data sources, and AI-powered workflows that actually save sellers time. Because this data is customer data, you'll also be responsible for holding the line on how it's handled — PII governance, consent management, and responsible AI practices are part of the job, not a footnote.

What You Will Be Doing

Build and maintain the golden customer dataset. Design the canonical dataset that unifies signals from across GTM systems into a single, governed source of truth — including the enrichment pipelines, deduplication, entity resolution, and validation systems that keep it accurate as sources land and drift.
Make data AI-ready. Work with the RevOps Data Science team to prepare structured and unstructured data for downstream AI workflows — account research, lead scoring, churn signals, CSM briefings — covering chunking, embedding strategy, metadata design, and source integration across GTM systems, product telemetry, and third-party enrichment providers.
Own quality and lineage. Implement monitoring, drift detection, and lineage tracking so anomalies surface before they reach a forecast, a dashboard, or a seller's inbox.
Set the standard. Define how RevTech prepares data for AI consumption and document the schemas, pipelines, and contracts downstream teams depend on.

What You Bring

We're looking for a senior data and AI practitioner with 3+ years of experience building production pipelines that feed ML or LLM-based systems — someone who knows how messy GTM data gets at scale and has the technical range to clean it, enrich it, and make it AI-ready.

GTM data fluency. You've worked with CRM data at scale — accounts, contacts, opportunities, leads — and understand the entity resolution and deduplication challenges that come with it.
AI-readiness experience. You've prepared data for RAG, embeddings, and AI agents, including chunking strategies, metadata enrichment, and embedding model selection.
LLM applied to data. You've used LLMs for extraction, classification, and normalization — and you know how to evaluate whether they're working.
Core tools. Python, senior-level SQL, and cloud infrastructure (AWS, Azure, or GCP) with orchestration experience (Airflow, Dagster, or equivalent).
Elastic Stack. Working knowledge of Elasticsearch, vector search, and ESRE — or genuine interest in building it.

Bonus Points

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
Prior experience inside a RevOps, GTM Systems, or Marketing Operations engineering team.

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)

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