(Sr) Data Engineer Retail Media, Measure & Forecast

Das ist der Job

We are building it. /ppAt the same time, everything we build follows a strict privacy‑by‑design philosophy.

Darum lohnt es sich

That is exactly why we are building our core engineering team in Zurich. /ppIf you enjoy working on complex real‑world systems, pushing the boundaries of edge and cloud infrastructure, and helping define a new global technology category, Advertima offers a rare opportunity. /ph3Job Overview /h3pWe are looking for a Data Engineer to help build the data backbone of a completely new media channel. /ppOur platform captures real‑world shopper behaviour through distributed edge systems and turns it into high‑volume, real‑time data streams.

You will work on systems that: /pulliprocess continuous data streams from thousands of physical touchpoints /liliturn noisy, real‑world signals into structured, trustworthy datasets /lilipower measurement, attribution, and forecasting models /lilienable real‑time and batch decision‑making across the adtech ecosystem /li /ulpTechnically, this means building and operating a modern data stack combining real‑time streaming, large‑scale batch processing, and lakehouse architectures – bridging edge‑generated data with cloud‑based analytics and applications. /ppYou will join a team that values pragmatic engineering, clean abstractions, and systems that actually work in production under real‑world conditions. /ph3Responsibilities /h3ulliDesign, develop, and maintain scalable data pipelines using Spark and Python to process diverse, high‑volume datasets. /liliImplement and optimise storage layers (Apache Iceberg, Avro, Hadoop) and cloud‑native object stores (S3/GCS) for high‑performance querying via Trino. /liliBuild, manage, and scale real‑time data ingestion pipelines using Kafka and MQTT. /liliCreate REST APIs, build intuitive visualisations with Apache Superset, and maintain data contracts for external and internal sharing. /liliCollaborate closely with Data Scientists and Backend Engineers to turn raw data into features and integrate data products into core applications. /li /ulh3Qualifications /h3ulliBSc/MSc Degree in Computer Science, Data Engineering, or equivalent practical experience. /liliAt least 5 years of experience in data engineering or software development. /liliProficient in Python with a deep understanding of Spark internals and REST APIs. /liliStrong SQL skills with hands‑on experience in distributed querying (Trino) and event‑driven architectures (Kafka, MQTT). /liliExperience with big data infrastructure (Hadoop, Iceberg) and containerised development workflows (Docker). /liliGood communicator fluent in English (written and spoken). /li /ulh3Ideally, you also have experience in any of the following /h3ulliRust: Interest in or professional experience using Rust for high‑performance data tooling or systems programming. /liliCloud Infrastructure and managed data services (AWS, GCP, Azure). /liliInfrastructure as Code (Terraform, Ansible). /liliObservability, monitoring, and tracing (Prometheus, Grafana, OpenTelemetry, ELK/Loki). /li /ulh3Benefits /h3ulliInnovative Environment: Join a team combining computer vision, IoT, edge computing, and real‑time data pipelines to build enterprise‑grade tech that transforms retail and advertising. /liliGlobal Impact: Collaborate with some of the world’s largest retailers and lead the charge in shaping the future of unified omnichannel Retail Media. /liliProfessional Growth: As Advertima grows, we’ll create new leadership and specialist roles, giving you a chance to lead those new opportunities. /liliSupportive Culture: Be part of a team that values innovation, collaboration, and operational excellence, without the corporate fluff. /liliFast‑paced and International Startup Environment: Work in a high‑growth scale‑up environment with flexibility and scalable processes. /liliFlexible Work Policies: Hybrid work environment with the flexibility to balance your personal and professional life. /liliEmployee Participation Plan: Benefit from our employee participation plan, tying your success to the company’s success. /liliSelf‑Development Budget: Get your own budget for professional development, learning, and growth. /li /ulh3Culture Fit /h3ulliSelf‑Management: Take ownership and responsibility without waiting for direction. /liliAdaptability and Motivation: Be adaptable, self‑motivated, and enjoy working independently and collaboratively. /liliHands‑On Approach: Roll up your sleeves to solve problems and remove obstacles for yourself and your team. /liliCuriosity and Learning: Continuously deepen your understanding of tech, industry, and company direction; ask questions and learn from diverse sources. /liliTech‑Savvy: Comfortable with tools like ClickUp, shared calendars, and AI collaboration tools. /liliIn‑Person Collaboration: Value face‑to‑face exchanges at the office and team events to build strong relationships. /liliCross‑Functional Teamwork: Comfortable collaborating across teams and engaging in open, direct conversations. /liliFeedback Culture: Give and receive direct feedback naturally; it’s how we get better, together. /liliGame Changer: Want to shape things, not just manage them; seek opportunities to break the status quo and build something better. /li /ulh3Application /h3pIf you are an experienced, resilient Data Engineer who wants to scale the future of global retail media infrastructure, we encourage you to apply. /ppPlease submit your application via this page or send your resume and a cover letter outlining your qualifications and vision for the role to /p /p #J-18808-Ljbffr ph3About Advertima Vision /h3pAdvertima is building the missing infrastructure that brings the power of digital advertising to the physical world. /ppToday, most advertising inside physical retail stores still operates like the internet did twenty years ago: static screens, no audience intelligence, and almost no measurable performance.

Meanwhile, online advertising evolved into a trillion‑dollar ecosystem powered by real‑time data, automation, and programmatic infrastructure. /ppWe are changing that. /ppAdvertima has built the technology that transforms physical retail environments into real‑time, data‑driven media channels.

Using computer vision, edge computing, and distributed AI systems, we translate physical shoppers into anonymised digital audiences that can be measured, targeted, and activated in real time. /ppThis is not a theoretical vision or an incremental improvement.

It is the creation of a completely new global technology standard. /ppGlobal retail leaders such as Walmart, Carrefour, FairPrice, SPAR, and EDEKA are deploying our technology across thousands of stores. Together, we are defining the global standard for In‑store Retail Media. /ppBut building the infrastructure is only one part of the problem.

The next major challenge is turning real‑world, imperfect, high‑volume sensor data into reliable measurement and forecasting systems. In online advertising, this layer defines how performance is measured, how budgets are allocated, and how value is created. /ppIn physical retail, this layer does not exist yet.

Our systems operate without processing and storing personal data or images, while still enabling the audience intelligence required for real‑time performance media.

This approach, rooted in Switzerland’s strong privacy culture, has become one of the key reasons global retailers trust Advertima to power their next‑generation Retail Media infrastructure. /ppSolving this combination of distributed systems, edge computing, AI inference, privacy‑preserving data processing, and global‑scale reliability is a hard engineering problem.

Your job is to transform this raw, imperfect data into reliable, scalable data products that power measurement, forecasting, and decision‑making across the Retail Media ecosystem. /ppThis is not a typical data platform.