About Adsquare
At Adsquare, our mission is powered by two core pillars:
• Passion — Solving complex challenges with great people, tech, and data• Niche — Location Intelligence for Programmatic Advertising
Our core values guide everything we do:
• Drive: We turn ambition into action• Resilience: We adapt, persevere, and grow stronger• No BS: We value honesty, transparency, and clear communication• Humble: We choose modesty over vanity and let results speak for themselves• Moral Compass: We do the right thing with fairness, integrity, and respect
We look for candidates who combine technical excellence with these values.
Role Overview – Senior Data Engineer
As a Senior Data Engineer, you will play a key role within our Data In Squad. You will design and maintain scalable big data pipelines and data products that power our applications and deliver business impact. While your main focus will be on big data application development, you will also leverage backend services and data analytics when needed.
Reporting Structure
• Join a high-performing team of 4 (you will be the 5th member)• Report directly to the Team Lead in Data Engineering
Key Responsibilities
• Data Asset OwnershipDevelop and maintain data pipelines and solutions built on large-scale location signals, places data, and audience attribute data — respecting SLAs, timelines, and budget.
• Pipeline Development & DeploymentDesign, develop, and deploy robust data transformation pipelines using state-of-the-art data engineering technologies.
• Technical Leadership & MentorshipGuide junior team members, share best practices, and elevate engineering standards.
• Innovative Data SolutionsConduct R&D to ensure Adsquare remains at the forefront of data innovation in adtech.
• Data Monitoring & DashboardsCreate real-time dashboards to monitor pipeline health and support decision-making.
• Collaboration & Continuous ImprovementEngage with stakeholders, work with cross-functional teams, and optimize solutions for high value and cost efficiency.
Candidate Profile
Experience & Background• 4–6 years as a Backend Developer, Data Engineer, or in a similar role
Technical Skills — Required• Strong programming skills in Python, Scala, Java, and SQL• Solid understanding of functional programming principles• Experience with large-scale data processing frameworks (e.g., Apache Spark)• Expertise with file formats (e.g., Parquet, HDFS, Iceberg)• Experience with both SQL and NoSQL databases• Ability to handle large datasets (hundreds of GBs to many TBs) — tabular, geospatial, behavioral• Familiarity with AWS big data stack: Athena, EMR, Glue, Redshift, S3, data lakes• Strong foundation in data structures, algorithms, and design patterns
Nice to Have• Experience with Kafka and Flink• Familiarity with orchestration tools (Airflow, Step Functions)• Experience deploying infrastructure via Terraform and Kubernetes• Degree or PhD in Computer Science, Mathematics, Physics, or Engineering
Soft Skills
• Communication: Ability to simplify and explain complex technical concepts• Teamwork & Leadership: Experience mentoring junior engineers• Problem-Solving: Research-driven, proactive mindset• Adaptability: Interest in staying up to date with new technologies and trends
Methodologies• Familiarity with agile methodologies• Understanding of software design principles (incl. 12-factor app)• Commitment to engineering best practices
Why Join Adsquare?
On top of a competitive package, we offer:
• Hybrid work model + remote work from anywhere worldwide up to 3 months/year• Individual yearly learning budget of 1,200€• 30 vacation days per year• BVG ticket & Urban Sports Club membership• Company pension scheme• Regular team and company events• Latest hardware and all tools you need to thrive
Apply Now!
NOTE / HINWEIS:
EN: Please refer to Fuchsjobs for the source of your application
DE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung
Stelleninformationen
Veröffentlichungsdatum:
20 Nov 2025
Standort:
Berlin
Typ:
Vollzeit
Arbeitsmodell:
Hybrid
Kategorie:
Development & IT
Erfahrung:
Senior
Arbeitsverhältnis:
Angestellt
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