Logo Delivery Hero SE

Senior Analytics Engineer

Job

  • Level
    Senior
  • Job Feld
    Data
  • Anstellung
    Vollzeit
  • Vertragsart
    Unbefristetes Dienstverhältnis
  • Ort
    Berlin
  • Arbeitsmodell
    Hybrid, Onsite
  • Job Zusammenfassung

    In dieser Rolle entwickelst du datengetriebene Lösungen, designst und wartest Datenpipelines und -modelle auf Google Cloud, und optimierst diese mit Apache Spark und Airflow für eine verbesserte Entscheidungsfindung.

    Job Technologien

    Deine Rolle im Team

    • As a Senior Analytics Engineer, you'll design and maintain the data pipelines and models that power decision-making across Quick Commerce.
    • You'll work closely with regional, business, product, data science, and analytics teams worldwide to build data solutions that drive our business and fuel new innovations.
    • You'll join our Analytics Engineering function within Data Foundations, working on the data model setup that powers Quick Commerce decision-making in Google Cloud, built on Apache Spark and Airflow.
    • You'll simplify complex systems, resolve friction points, and refactor for better performance and scalability.
    • Alongside this, you'll help shape and promote strong coding practices, and contribute to how we standardize processes across data foundations, business intelligence, data science, and analytics.
    • You'll help build technology that scales our non-food offerings, reaching new market segments and driving revenue growth.
    • By innovating within our Quick Commerce Team, you'll make Delivery Hero the go-to platform for a broad range of products, helping us grow faster and deliver more value to customers around the world.
    • Design and implement data pipelines, data models, and analytics solutions used across DataMesh.
    • Partner with cross-functional teams to define data requirements and build the data models that support them.
    • Build and maintain ETL processes that keep data quality and integrity high while minimizing latency and processing time.
    • Work with application and analytics teams to turn problem statements and metrics into efficient technical solutions.
    • Create dashboards that give stakeholders clear visibility into data and performance metrics across the organization.
    • Collaborate with data engineers on data catalogs, access controls, and governance processes, and mentor peers along the way.

    Unsere Erwartungen an dich

    Ausbildung

    • Bachelor's degree in computer science, information systems, mathematics, statistics, or a related field.
    • Master's degree in a related field is nice to have.

    Qualifikationen

    • Strong programming skills in Python, R, or Java, with proficiency in SQL.
    • Excellent communication and collaboration skills, with strong attention to detail and the ability to explain technical concepts to both technical and non-technical stakeholders.
    • Good understanding of data governance, data quality, and data security principles.
    • Familiarity with data privacy regulations (e.g., GDPR, CCPA) is nice to have.

    Erfahrung

    • 3+ years of experience in data engineering, analytics, or a related role, including experience with large-scale data processing frameworks and tools (e.g., Hadoop, Spark, SQL).
    • Expertise in data modeling, database design, and data warehousing concepts, including experience with relational databases (e.g., MySQL, PostgreSQL).

    Unser Angebot

    • Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week.
    • We offer 27 days holiday with an extra day on 2nd and 3rd year of service.
    • We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.
    • Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Gym & Bicycle Subsidy.
    • Cash. Dough. Cheddar. Whatever you call it, we'll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan.
    • The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts.

    Benefits

    Essen & Trinken

    Work-Life-Integration

    Gesundheit, Fitness & Fun

    Themen mit denen du dich im Job beschäftigst

    Job Standorte

    • Standort Berlin

      Deutschland

    Das ist dein Arbeitgeber

    Delivery Hero SE

    Delivery Hero SE

    Niklas Östberg gründete Delivery Hero im Mai 2011 und startete seine Reise, um ein führendes global agierendes Unternehmen im Bereich Online-Essensbestellungen aufzubauen. Sein Gründungsteam, das mit Mitgliedern von Team Europe vervollständigt wurde, teilte sich Jahrzehnte an Wissen über die Arbeit mit Internetunternehmen. Genauso wichtig war jedoch, dass sie eine Vision für die Zukunft der Online-Essensbestellung teilten. Gemeinsam mit einem ausgewählten und leidenschaftlichen Team gelang es ihnen tatsächlich, das Geschäft auf die heutige Stufe zu katapultieren.

    Description

  • Gründungsjahr
    2011
  • Sprachen
    Englisch
  • Unternehmenstyp
    Etablierte Firma
  • Arbeitsmodell
    Hybrid, Onsite
  • Branche
    Handel
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    Logo Delivery Hero SE

    Senior Analytics Engineer

    Ort
    Berlin
    Arbeitsmodell
    Hybrid, Onsite
    Diversität
    Für alle Personen geeignet (m/w/d)

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