Senior Analytics Engineer - Quick Commerce

Delivery Hero
Berlin
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceEducation: bachelorsSkills: ["Communication","Collaboration","Attention to detail","Explaining technical concepts"]

Design and maintain data pipelines, models, and analytics solutions that power Quick Commerce decision-making. Work with regional business, product, data science, and analytics teams to define data requirements, build ETL processes, and improve data quality and performance. Create dashboards for stakeholders and collaborate on data catalogs, access controls, and governance. Join Analytics Engineering within Data Foundations on Google Cloud using Apache Spark and Airflow.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Delivery Hero
Delivery Hero
2 days ago

Senior Analytics Engineer - Quick Commerce

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Design and maintain data pipelines, models, and analytics solutions that power Quick Commerce decision-making. Work with regional business, product, data science, and analytics teams to define data requirements, build ETL processes, and improve data quality and performance. Create dashboards for stakeholders and collaborate on data catalogs, access controls, and governance. Join Analytics Engineering within Data Foundations on Google Cloud using Apache Spark and Airflow.
Location: Berlin
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Design and implement data pipelines, data models, and analytics solutions used across DataMesh.
  • •Build and maintain ETL processes that ensure data quality and integrity while minimizing latency and processing time.
  • •Partner with cross-functional teams to define data requirements and build data models that support them.
  • •Work with application and analytics teams to turn problem statements and metrics into efficient technical solutions.
  • •Create dashboards and collaborate on data catalogs, access controls, and governance processes.

Pay and Benefits

Equity and Bonus:Equity
Perks:Learning BudgetParental LeaveEquityPensionMeal Allowance

Key Requirements

  • •3+ years of experience in data engineering, analytics, or a related role with large-scale data processing frameworks and tools (e.g., Hadoop, Spark, SQL).
  • •Strong programming skills in Python, R, or Java, with proficiency in SQL.
  • •Expertise in data modeling, database design, and data warehousing concepts, including relational databases (e.g., MySQL, PostgreSQL).
  • •Bachelor's degree in computer science, information systems, mathematics, statistics, or a related field.
  • •Strong communication and collaboration skills, with the ability to explain technical concepts to technical and non-technical stakeholders.
Experience:Data engineeringAnalytics
Education:Bachelor's in computer science, information systems, mathematics, or a related field
Skills:CommunicationCollaborationAttention to detailExplaining technical concepts
Languages:English
Tech Stack:Google CloudApache SparkAirflowHadoopSQLPythonRJavaMySQLPostgreSQLETLDataMesh

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
WebsiteLinkedInGlassdoor