Analytics Engineer I - AI & Data Enablement (They/She/He)

Delivery Hero
Barcelona
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceSkills: ["Attention to detail","Communication","Collaboration","Responsible AI usage","Problem-solving"]

Own analytics engineering fundamentals in an AI & Data Enablement team by building reliable datasets, models, and production-grade SQL transformations. Collaborate with analysts, product managers, and business stakeholders to automate workflows and solve real problems. Use GenAI responsibly to support coding, analysis, and documentation while validating outputs and raising quality concerns. Over time, grow toward independently owning small data products and contributing to AI-enabled data initiatives.

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FursaFursa
Delivery Hero
Delivery Hero
4 days ago

Analytics Engineer I - AI & Data Enablement (They/She/He)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live
Reposted: similar role first listed 1 week ago

Job Summary

Own analytics engineering fundamentals in an AI & Data Enablement team by building reliable datasets, models, and production-grade SQL transformations. Collaborate with analysts, product managers, and business stakeholders to automate workflows and solve real problems. Use GenAI responsibly to support coding, analysis, and documentation while validating outputs and raising quality concerns. Over time, grow toward independently owning small data products and contributing to AI-enabled data initiatives.
Location: Barcelona
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Entry level

Key Responsibilities

  • •Build reliable data foundations by designing datasets and data models that power business decisions across teams.
  • •Write clean, production-grade SQL transformations with version control, testing, and data quality best practices.
  • •Use AI literacy to support analytics engineering initiatives, including prompt design and responsible AI practices.
  • •Partner with cross-functional stakeholders to automate manual workflows, reduce friction, and deliver smarter data products.
  • •Validate outputs, document work, and raise quality concerns when results do not look right, progressively increasing ownership of data products.

Pay and Benefits

Perks:EquityHealth InsuranceRemote WorkMeal AllowanceGym MembershipLearning BudgetParental LeaveWellness Stipend

Key Requirements

  • •1–2 years of data experience across analytics/data engineering, BI, math, computer science, or a related field with strong analytical problem-solving.
  • •Strong SQL fundamentals including joins, aggregations, and debugging.
  • •Working knowledge of Python plus basic Git practices for engineering workflows.
  • •Familiarity with data modeling concepts (facts, dimensions, granularity) and willingness to use tools like BigQuery, dbt, and Looker.
  • •AI-savvy mindset with above-average GenAI literacy for coding, analysis, or workflow automation, paired with a commitment to validation and responsible usage.
Experience:Data engineeringAnalyticsBIGenAI
Skills:Attention to detailCommunicationCollaborationResponsible AI usageProblem-solving
Languages:English
Tech Stack:SQLPythonGitBigQueryDbtLookerGenAIAPIsData pipelinesWorkflow automation

Company Brief

Delivery Hero
Global online food-ordering and local delivery platform operating multiple regional brands (e.g., Foodpanda, Glovo, Talabat) across 50–70+ countries, supplying food and quick-commerce deliveries via marketplace and logistics services.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Berlin, Germany
Founded: 2011
Glassdoor
Glassdoor: 3.4
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