Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop data-driven solutions, design and maintain data pipelines and models on Google Cloud, and optimize them with Apache Spark and Airflow for enhanced decision-making.
Job Technologies
Your role in the 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 will join our Analytics Engineering team within Data Foundations, working on the data model setup that supports Quick Commerce decision-making in Google Cloud, built on Apache Spark and Airflow.
- You will 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.
- Zusammenarbeit mit Data Engineers bei Datenkatalogen, Zugriffskontrollen und Governance-Prozessen sowie Mentoring von Kollegen auf dem Weg.
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Our expectations of you
Education
- 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.
Qualifications
- 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.
- Gutes Verständnis von Data Governance, Datenqualität und Data Security Prinzipien.
- Vertrautheit mit Datenschutzbestimmungen (z. B. GDPR, CCPA) ist von Vorteil.
Experience
- 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).
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What we offer
- Nutzen Sie unser hybrides Arbeitsmodell optimal und kommen Sie zwei Tage pro Woche für persönliche Begegnungen und Zusammenarbeit auf unseren schönen Berliner Campus.
- We offer 27 days of holiday with an additional day in the 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.
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Benefits
Food & Drink
Work-Life-Integration
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
Delivery Hero SE
What started as an ambitious idea is now the leading local delivery company. Delivery Hero is present in around 50 countries across four continents and is on a mission to deliver anything, straight to customers’ doors.
Description
- Founding Year
- 2011
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Trade
Employer reviews
by devworkplaces.com
Total
(1 Review)3.2
Career Growth
3.2Culture
3.2Engineering
2.7Workingconditions
3.8
Senior Analytics Engineer
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
