Job Description

Company Description

As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero.

Job Description

Drive transformative innovation by building and scaling the

data and AI feature infrastructure

for AI-powered ranking, bidding and recommendation systems in digital advertising. Lead the design and implementation of

high-performance data pipelines

and

feature stores

that ensure data consistency, low latency, and reliability. As a technical leader, you will elevate our

feature engineering and data delivery capabilities

, enabling advanced modeling at scale and shaping the future of data-driven decision-making.

Core Skills & Expertise:

The ideal candidate will demonstrate:

Exceptional Data Engineering & Infrastructure Mastery:

Mastery in designing and building

efficient data pipelines

to feed AI ranking, bidding and recommendation systems.

Expertise in implementing and maintaining

Feature Stores

(online and offline) for fast and consistent feature serving to ML models.

Advanced knowledge of

streaming data technologies

(e.g., Kafka, Pub/Sub) and large-scale data processing engines (e.g., Spark, Flink) in a cloud environment (GCP/AWS).

Advertising Data Domain Knowledge:

+

In-depth understanding of

AdTech data sources

(eg bid request logs, server logs, front-end events) and the infrastructure required to process them.

+

Proven experience building data flows that support the feature engineering necessary to optimise

CPC, CPA

, and

ROAS metrics

for advertisers.

Exceptional Data Processing and System Expertise:

+

Advanced proficiency in

Python

(for building robust ETL/ELT) and

SQL

(for data modeling and warehousing).

+

Strong foundation in data modeling, schema design, and ensuring

data quality/integrity

for high-volume ML features.

+

Ability to design reliable, scalable systems that support complex feature transformations required for

multi-objective optimisation

models.

Proven Leadership in Data Systems:

+

A track record of designing and deploying

high-performance data pipelines

and

feature infrastructure

in production, with measurable stability and performance.

+

Experience influencing

data architecture strategy

and driving adoption of best practices for data consumption by Data Science teams.

+

A history of mentoring junior engineers and driving alignment on

data infrastructure standards

across engineering and data organizations.

Qualifications

Nice-to-Haves:

Deep MLOps and Infrastructure Experience:

Expertise in managing and optimising feature serving infrastructure for

low-latency

requirements, including techniques like caching, sharding, and geographically distributed serving for high-volume prediction and decision services.

Feature Layering for Causal/Economic Models:

Familiarity with the data requirements and pipeline design to support features for

econometric models

or

causal inference

(eg handling complex time-series lags, external shock data).

Cloud-Native Data Ecosystems:

Certified expertise (or equivalent experience) in specific cloud-native data services (eg Google Cloud Dataflow, BigQuery, Vertex AI Feature Store, AWS Kinesis) that enable full operationalisation of the ML feature lifecycle.

Advanced ML Architecture Knowledge:

Working knowledge of advanced ML architectures, such as

Transformer-based models

or

Graph Neural Networks

, to anticipate and design the necessary feature representations and data flows required by Data Scientists.

Additional Information

We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you.



We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.cominclude it in your application.

Severely disabled applicants with equal qualifications will be given preferential consideration.

You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.