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Senior Backend Engineer - Databases - Analytics | Spain | Remote

Backend Full-time Permanent Spain

Job details

Not specified Salary
Spain Eligibility
Senior Experience
Full-time Employment

About this role

Role overview A senior backend engineer is needed to build the storage and database layer for an analytics platform that blends classic OLAP queries with low-latency, telemetry-style ingestion. The work underpins an AI-native data intelligence system designed to give AI agents reliable, governed access to enterprise context, and the team operates with high autonomy from early prototyping through to multi-tenant SaaS maturity.

Responsibilities - Own parts of the database end-to-end: design, implement, test, and operate ingestion pipelines, query planners, distributed query execution, data formats, and on-disk storage formats. - Help shape a multi-tenant SaaS foundation, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. - Build APIs and database interfaces that let AI agents, MCP tools, CLIs, and internal applications retrieve governed data quickly and consistently. - Make pragmatic trade-offs between fast experimentation and long-term reliability as the system moves from internal dogfooding to production. - Partner with product and infrastructure teammates on architectural decisions that support running across multiple cloud providers with separated compute and storage.

Requirements - Senior-level experience designing and operating distributed database or storage systems. - Familiarity with both OLAP and OLTP-style workloads, query planning, and distributed execution. - Comfort working with separated compute and storage architectures on public cloud infrastructure. - Ability to navigate ambiguity in an early-stage environment and make pragmatic architecture calls. - A collaborative, feedback-oriented approach to cross-functional work.

Nice to have - Background taking systems from internal prototype to production-grade SaaS. - Interest in agent-facing retrieval, metadata, lineage, or data-quality tooling.

Benefits and work setup - Fully remote position with team members distributed across many countries. - Equity-based compensation intended to align long-term outcomes as the organization scales. - Generous annual leave policy (around 30 days per year) plus reserved shutdown days for team-wide rest, with local legal compliance. - In-person onboarding at the start of employment to accelerate ramp-up.

Skills detected in the listing

GoRustC++Data EngineeringAWSGCPAzure
Detected Sep 22, 2026
Last verified Sep 22, 2026

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