Senior Data Engineer

3 Months ago • 3 Years + • Data Analysis

Job Summary

Job Description

The Senior Data Engineer will build and maintain a feature store, develop scalable data pipelines for processing large-scale event data, and engineer features from raw data to enhance recommendations within the adtech platform. They will also ensure data quality, implement monitoring processes, and act as a key link between data science and backend engineering teams. The role requires working in an international, English-speaking team.
Must have:
  • 3+ years of software development experience.
  • Experience with Python and SQL.
  • Experience working on distributed systems.
  • Knowledge of scheduling frameworks (Airflow/Kubeflow).
  • Knowledge of data quality and feature stores.
  • Advanced knowledge of computer science, algorithms, and data structures.
  • Knowledge of databases, regular expressions, HTTP protocol, and encoding.
Good to have:
  • Experience with Golang.
  • Experience with Clickhouse, AWS, and Terraform.
Perks:
  • Regular feedback and development program.
  • Visa support and relocation bonus.
  • Hybrid work setup (3 core office days).
  • Flexible working hours.
  • 30 vacation days.
  • 3 weeks of remote work per year.
  • Free access to in-house gym.
  • Mental health support through Employee Assistance Program (EAP).
  • Central office location with snacks and drinks.
  • Team and company events.

Job Details

adjoe is a leading mobile ad platform developing cutting-edge advertising and monetization solutions that take its app partners’ business to the next level. Part of the applike group ecosystem, adjoe is home to an advanced tech stack, powerful financial backing from Bertelsmann, and a highly motivated workforce to be reckoned with.


Meet Your Team: Programmatic Supply


Did you know that in-app ads are sold in a real-time auction before they get rendered by adjoe’s Android and iOS SDK in thousands of mobile apps? 


It’s exactly for this that adjoe has built its own adtech platform. Our backend system can simultaneously handle a few billion auctions in real-time every day. It receives price bids for every ad impression via API from more than 20 different companies buying potential ad inventory. 


Behind the auction scenes, we have impressive prediction models working to figure out if an ad is relevant to a user. Our algorithm requires operating data from multiple data sources and performs calculations in real-time. 


Join our discussions, explore implementation, and put your problem-solving skills to the test in our cross-functional Programmatic team!


What You Will Do
  • Build & Maintain a Feature Store: Contribute to the design, implementation, and optimization of a scalable, efficient, and easily accessible feature store for machine learning applications.
  • Develop Scalable Data Pipelines: Build and maintain robust data pipelines that process and transform large-scale event data daily and in near real time within our data lake and feature platform.
  • Enable High-Impact Features: Extract, clean, and engineer features from raw data to enhance the relevance and accuracy of recommendations in our adtech platform.
  • Ensure Data Quality, Observability & Integrity: Implement data validation, monitoring, and governance processes to maintain accuracy, consistency, and reliability across all datasets.
  • 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.
  • 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 3+ years’ of software development experience, working on modern data engineering data stack. 
  • You have experience working with Python, SQL. Knowledge of Golang is a plus. 
  • You have experience working on distributed systems that process large amounts of data in real-time. 
  • You know scheduling framework such as Airflow / Kubeflow 
  • You know the concepts of data quality,  feature stores. 
  • You have advanced knowledge of computer science, algorithms, and data structures. 
  • You have knowledge of databases and a basic understanding of regular expressions, HTTP protocol, and encoding.
  • Plus: You have experience in working with Clickhouse, AWS, Terraform.


Our Tech Stack
  • Apache Kafka as our data bus system
  • Go as our primary language for backend
  • Kubernetes and Terraform to manage our infrastructure
  • S3, Redis and Druid as data storage
  • ClickHouse as feature store
  • Prometheus, Grafana, and OpenObserve for logging and monitoring
  • Airflow for orchestration.
  • … and we’re always open to trying new technologies that suit each case best.


Fuel for the Journey: Benefits to Support Your Ambitions
  • Invest in Your Future: Regular feedback and our development program support your growth, helping you expand your skill set and achieve your career goals.
  • Easy Arrival to adjoe: From signing to settling in Hamburg, we’ve got you covered. Need a visa? No problem. Ready to build your new life and career at (company name) in Hamburg? We support every ambition—from learning German to a relocation bonus that helps you settle in and make Hamburg feel like home.
  • Live Your Best Life, at Work and Beyond: We work in a hybrid setup with 3 core office days, plus flexible working hours. Enjoy 30 vacation days, 3 weeks of remote work per year, and free access to an in-house gym with lots of different fitness classes and mental health support through our Employee Assistance Program (EAP).
  • Thrive Where You Work: Enjoy the Alster lake view from our central office with top-notch equipment, fun open spaces, and a large variety of snacks and drinks.
  • Join the Community! Participate in regular team and company events, including hackathons and social gatherings. We work together, and we celebrate together, too.


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About The Company

Hamburg, Hamburg, Germany (Hybrid)

Hamburg, Hamburg, Germany (Hybrid)

Hamburg, Hamburg, Germany (Hybrid)

Hamburg, Hamburg, Germany (Hybrid)

Hamburg, Hamburg, Germany (Hybrid)

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Hamburg, Hamburg, Germany (Hybrid)

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