Senior Data Engineer (f/m/d)
- Hamburg
- adjoe
- Playtime Data Science
- Full-time
adjoe is redefining the future of mobile ads. Powered by advanced AI, first-party data and world-class engineers, we’ve perfected the offerwall experience for monetizing and scaling app publishers with solutions like Playtime – now the fastest growing rewarded advertising channel globally – driving incremental engagement, retention, and revenue. Together, this ecosystem connects app developers to over 770 million users worldwide for scalable growth. We are a profitable, high-growth company backed by a $100 million investment from Bertelsmann. Operating from offices in Hamburg, Boston, Singapore, and Tokyo, adjoe is defining the next stages of app and ad experience – right now. Join us.
Meet Your Team: Playtime Data Science
Playtime is a time- and event-based ad unit that continuously rewards users with in-app currency – for the time they spend and events completed while playing mobile games. We connect advertisers to 700+ million Playtime users and serve 2bn requests per day at low latency. We ensure that all parties involved have a positive experience. Advertisers get more users for their apps. Monetizers earn revenue for users on their platforms. Users play fun games while simultaneously getting rewarded.
Our data science team powers the engine that distributes our ads. They solve multiple tasks such as developing algorithms to provide the most relevant ads for users, predicting user interests and inclinations, and dynamically adjusting pricing based on these predictions. Because the user base is very diverse we are using deep learning models that we could show to be able to serve the best ads to users.
Within the Playtime team you will be responsible for services and models that we use to provide automated solutions both for our advertisers and publishers.
We strongly believe in self-hosted open source technologies backed by battle-proven AWS technologies.
Apache Kafka as our event streaming system
Apache Flink (using Java) for stateful stream processing and real-time feature engineering
Go as our primary language for backend
Kubernetes and Terraform to manage our infrastructure
S3 and Druid for long-term data storage
DynamoDB and Redis to store per-user data and power low-latency real-time aggregations.
TensorFlow and PyTorch for training ML models, TensorFlow Serving and Triton for inference
Prometheus, Grafana, the ELK stack and OpenObserve for logging and monitoring
Airflow for orchestration
… and we’re always open to trying new technologies that suit each case best.
Scale at a glance
Thousands of requests for distributions every second
Our ML models handle those at p99 latency of 100ms
100k+ ML predictions per second
2TB data ingested in real-time every day
100+ Airflow jobs and other data pipelines
What You Will Do
Scale the Feature Store: Leverage Apache Flink to translate Data Science requirements into high-performance, real-time streams. Enable Data Scientists to contribute new features and implement them yourself when needed.
Ensure Data Quality, Observability & Integrity: Implement data validation, monitoring, and governance processes to maintain accuracy, consistency, and reliability across all datasets and features in Feature Store.
Optimize Pipelines Performance: Identify and eliminate bottlenecks in complex ETL jobs, transforming long-running processes into streamlined, rapid-iteration cycles.
Bridge Data Science & Backend Teams: Act as the key link between data science and backend engineering, ensuring seamless data integration and usage across the organization.
Explore new Data Sources: Partner with Data Scientists to build custom ingestion logic for unstructured or non-typical data sources, handling the heavy preprocessing needed for experimental research.
Evolve the Data Architecture: Maintain and optimize our Data Lake. You’ll help us decide on the future of our storage (e.g., moving toward a Data Lakehouse model) and implement best practices.
Work in an International Environment: Join an international, English-speaking team focused on scaling our adtech platform to new heights.
Who you are:
You have 5+ years’ of software development experience, working on modern data engineering stack.
You have proven experience with Apache Flink for stateful stream processing and real-time feature computation.
You have worked extensively with real-time data streaming systems such as Kafka, Kinesis, or Pub/Sub.
You have experience with systems handling several TB of data per day and multiple thousand events per second.
You know how to identify bottlenecks in data pipelines and you have experience in optimizing them and scaling them up.
You have strong Java knowledge, Golang/Python knowledge would be a plus.
You have worked closely with Data Scientists on online ML systems with low latency.
You know how to move beyond “raw data” to design robust, multi-layered data architectures. You have hands-on experience using dbt to build these layers and can guide us on the best tools and formats to manage them at scale.
You know scheduling frameworks such as Airflow / Kubeflow.
You know the concepts of data quality and how to apply them in production.
You are familiar with relational and NoSQL databases.
You are open to relocating to Hamburg, Germany
You have strong problem-solving skills and ability to tackle complex technical challenges.
Plus: You have hands-on experience in working with AWS, Terraform and Kubernetes.
Plus: You are familiar with the Medallion Architecture and have experience building Semantic Layers for downstream data consumption.
Fuel for the Journey: Benefits to Support Your Ambitions
Tips & Tricks to Nail Your Interviews!
Skip cover letters!
Check your equipment
Do some research!
Prepare an elevator pitch
Structure your answers
Let your personality shine
Be prepared with questions
Don’t be afraid of rescheduling
Recruiting FAQs
We aim to make our recruiting process as fast and efficient as possible, but the duration can vary depending on the role you are applying for. Usually we are really fast, though (less than 4 weeks).
Yes, if you see multiple roles open that match your skill set, you can apply for them simultaneously. Our Talent Acquisition team will review your application and contact you about the role that best seems to match your skills.
Yes, if you see multiple roles that match your skill set, you can apply for them simultaneously. Our Talent Acquisition team will review your application and contact you about the role that best matches your skills.
Great! Please allow a few days for our team to review your application. We will contact you with the next steps as soon as possible.
As part of our hiring process, we may use an AI Notetaker tool to transcribe and summarize interviews. This enables our hiring teams to focus fully on candidates and ensures a fair and well-documented selection process.
This tool joins interviews as a silent participant and generates a transcript and factual notes. Only those directly involved in the hiring process will have access to this data, which is stored securely and deleted after 6 months.
Candidates are informed in advance, given the option to opt out, and opting out does not impact the outcome of the application.
We’ll never ask you for money, fees, or sensitive information (like bank details, tax forms, or credit card numbers) during the hiring process.
If anything feels off, you can always double-check by reaching out to our Talent Acquisition team at ta@applike-group.com.
Once you’ve signed your contract, our HR team may request personal details, but only from our official email: hr@applike-group.com.
To ensure you are applying for a genuine position, we recommend verifying the opening on our official careers pages (applike, adjoe, etc.). If you prefer, feel free to submit your application directly through our site rather than third-party platforms.
No, we do provide full visa and relocation support.
We do! You can find more information about our relocation support and the succesful relocation of our colleagues here on this website.
No problem! Our visa and relocation support does also include your partner or kids. (Please be aware that legal marriage is often times a requirement to obtain a partner-visa).
If you prefer 100% remote companies, applike is not the right place for you because we strongly believe in face-to-face collaboration. However, we did implement a hybrid working model where we are in the office at least three days a week (Monday, Tuesday, and Thursday) and can work remotely the remaining two days. Additionally, you get three whole weeks per year to work fully remotely if you want.
Our hybrid working approach involves being in the office at least three days a week (Monday, Tuesday, and Thursday) and the option to work remotely the remaining two days. Flexible working hours mean that we work Monday-Friday, but do not have fixed working hours. Just make sure to adapt to the rhythm of your team.
The headquarters of the applike group and all its subsidiaries are located in Hamburg, Germany. We do have offices in the US and APAC.
Well next to the fact that you are able to see and collaborate with your colleagues face-to-face, we have a super modern office that leave no wishes open: from Drinks & Snack, areas to work away from your desk to a fully equiped gym.
Yes, you can!
Couldn’t find the perfect job offer?
Nevermind! We are always interested to get in touch with new talents.