Data Architect, Delivery Hero
Principal Machine Learning Engineer
Office located in 10117, Berlin
Local delivery platform
Job no longer available
Local delivery platform
1001+ employees
Job no longer available
Office located in 10117, Berlin
1001+ employees
Company mission
On a mission to deliver anything, straight to customers’ doors.
Role
Who you are
- Extensive experience with machine learning engineering and / or data engineering
- Familiarity with various domains (Data Science, Data Analytics, A/B Testing, Infra) and expertise in the data product pipelines
- Deep understanding of Python and its ecosystem, especially oriented to data science and Machine Learning
- Good testing practices with TDD or similar and knowledge on how to set up automated testing environments
- Wide experience working with Rest, frameworks (Flask, FastAPI, Falcon, etc.), micro services architecture and communication protocols
- Outstanding knowledge of software and application design and architecture
- A technical mindset and analytical approach
- Great attention to detail and good leadership skills
- A sense of ownership and pride in your performance and its impact on the company’s success
- Critical thinking and problem-solving skills
- Familiarity with data privacy regulations such as GDPR or ISO 27001
What the job involves
- We are looking for a Data Architect - Principal Machine Learning Engineer (all genders) to join our growing Data tribe to work with exciting projects like our own machine learning framework, data ingestion pipelines and designing our feature store!
- Own architectural decisions in the tribe and influence data architecture in the wider organization
- Being a role model for a specific model / process / language / algorithm / product for engineers in the team and in the chapter
- Work closely with engineers and data scientists in the organization in order to determine needs for new software, platforms and applications both in functional and non-functional requirements
- Alignment with engineering and data managers on overall technical vision for involved squads
- Develop and implement technical product specifications in Data Science, Data Engineering and Machine Learning Engineering domains
- Pay attention to system integration, sustainability and feasibility with an eye on the overall list of services and how new ones can integrate within the overall system
- Manage all phases of technology development
- Oversee and supervise the work of the development teams and guide engineers in data engineering and machine learning engineering chapters
- Have an eye on Pull Requests and suggest improvements via objective input backed up with resources to help guide the engineers for better quality in the future
- Suggest and implement solutions (either partially like spikes or via POCs) for process improvement
- Adhere to quality, security and scalability guidelines
- Being a technical representative of the data organization for internal and external events
Our take
Until relatively recently, delivery services were out of the question for many local restaurants and businesses due to high costs and logistical complexity. Delivery Hero solves this problem by enabling fast and flexible delivery for restaurants, takeaways, and grocery stores.
Since its founding in 2008, Delivery Hero has grown into one of the world's biggest online delivery platforms, alongside rivals Uber Eats, Deliveroo and Just Eat. Delivery Hero operates in over 70 countries, and owns a number of other big-name brands, such as Asian delivery giant Foodpanda.
Delivery Hero owes much of its success to its impressive adaptability, having branched out into new markets such as quick commerce. As with many of its peers, the company has had to grapple with the effects of the 2023 economic situation, cutting jobs in Taiwan, Berlin and Turkey at the end of that year. However, it has remained steadfast in its goal to increase efficiency throughout the organization and move ahead with "ambitious plans" for the coming years.
Freddie
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 12 rounds)
May 2017
$431.5m
GROWTH EQUITY VC
Jun 2015
$110m
LATE VC
Total funding: $1.8bn
Company benefits
- Significantly subsidized rates with either Gympass or Urban Sports Club
- Weekly Online & Onsite Yoga sessions
- Free Headspace membership to help reduce stress levels
- Subsidized bicycle membership rates
- Comprehensive and targeted Medical Checkups in the office
- Employee Assistance Program (EAP) - Professional 24/7 guidance for any matters they may need support with
- Employee Share Purchase Plan (‘ESPP’)
- Corporate Pension Plan
- Life & Accident Insurance
- Special conditions and rates with Deutsche Bank
- Hero Piggy Bank - Save for your sabbatical
- Corporate Discounts on your favorite stores, e.g. car hire, clothing, furniture, etc..
- Subsidized membership rates (discount) for BVG tickets
- Digital meal vouchers to be used in restaurants and grocery stores
- Subsidized food in the office via Smunch
- Food vouchers to use on orders with Foodpanda
- Parental Support
- Personal education budget of 1,000 EUR per year
- Language Support - We provide multiple flexible language learning offers to our employees
Company HQ
Mitte, Berlin, BE
Leadership
Niklas Östberg
(CEO)Previously worked as a Project Manager for Oliver Wyman, and co-founded OnlinePizza.se.
Markus Fuhrmann
(Co-Founder)CEO of GROPYUS. Also co-founded One Ukraine, Cavalry Ventures, Web2Asia, Mjam, and BAYES Holding.
Lukasz Gadowski
(Chairman)Founder and CEO of Team Global, and Partner at MILES Mobility and ZAPATA. Previously founded VM, and co-founded Circ.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job