<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <br/><p><strong>About the Company</strong></p><p><br/></p><p><br/></p><p>At Adsquare, our mission is driven by our core focus:</p><p><br/></p><p><br/></p><ul><li><strong>Passion</strong> – Solving complex challenges with great people, tech, and data.</li><li><strong>Niche</strong> – Location Intelligence for Programmatic Advertisers.</li></ul><p><br/></p><p><br/></p><p>Our core values are integral to everything we do:</p><p><br/></p><p><br/></p><ul><li><strong>Drive</strong>: We turn ambition into action to deliver valuable outcomes.</li><li><strong>Resilience</strong>: We adapt, persevere, and grow stronger.</li><li><strong>No BS</strong>: We value honesty, transparency, and clear communication.</li><li><strong>Humble</strong>: We choose modesty over vanity and let results speak for themselves.</li><li><strong>Moral Compass</strong>: We do the right thing with fairness, integrity, and respect.</li></ul><p><br/></p><p><br/></p><p>We seek candidates who not only bring top-tier technical expertise but also embody these values in every aspect of their work.</p><p><br/></p><p><br/></p><p><strong>About the Role</strong></p><p><br/></p><p><br/></p><p>As a (Senior) Data Engineer at Adsquare, you will be a key contributor to our core engineering function, creating and maintaining scalable big data pipelines that power our applications and drive business value. Because our engineering department handles a variety of critical data challenges, you will be assigned to a specific cross-functional squad based on your individual strengths, experience, and current business needs.</p><p><br/></p><p><br/></p><p><strong>Responsibilities</strong></p><p><br/></p><p><br/></p><ul><li><strong>Data Pipeline Ownership</strong>: Take full accountability for the pipeline lifecycle—from raw data ingestion to transformation and external delivery—according to defined SLAs, time, and budget.</li><li><strong>Architect Scalable Solutions</strong>: Design and build robust data architectures required to process and transfer terabytes of data.</li><li><strong>Pipeline Optimization</strong>: Continuously improve data pipelines for cost and performance. This includes analyzing query plans, optimizing compute and working memory, and strategically applying horizontal or vertical scaling.</li><li><strong>Engineering Rigor</strong>: Elevate data engineering standards. Implement CI/CD workflows, infrastructure-as-code, test-driven development (TDD), and automated testing to ensure reliable and maintainable code.</li><li><strong>Data Monitoring</strong>: Create and maintain live monitoring dashboards to ensure data solutions are healthy and to support strategic decision-making.</li><li><strong>Collaboration &amp; Mentorship</strong>: Bridge the gap between Data and Backend engineering. For Senior applicants, act as a technical leader by mentoring junior team members, conducting code reviews, and introducing best practices.</li></ul><p><br/></p><p><br/></p><p><strong>Qualifications</strong></p><p><br/></p><p><br/></p><p>We are looking for a candidate with varying levels of experience (mid-level to senior, typically 3-6+ years) in Data Engineering or Backend Development with a heavy data focus. You must be comfortable working in a self-organized, agile environment.</p><p><br/></p><p><br/></p><p><strong>Required Skills</strong></p><p><br/></p><p><br/></p><ul><li><strong>Programming Mastery</strong>: Very strong proficiency in Python and SQL. You write modular, production-ready code and possess a solid understanding of both Functional Programming and Object-Oriented Programming (OOP) principles.</li><li><strong>Big Data &amp; PySpark</strong>: Deep experience with large-scale data processing frameworks, specifically Apache Spark / PySpark. You understand how to handle TB-scale datasets efficiently. Deep understanding of big data file formats like parquet and avro. Experience with open Lakehouse formats like Iceberg.</li><li><strong>Advanced Optimization Skills</strong>: Proven experience in optimizing data pipelines for compute, working memory, and cost efficiency, including reading and analyzing complex query plans/profiles.</li><li><strong>Database &amp; Storage Architecture</strong>: Expertise in the trade-offs between OLAP and OLTP systems. You have built solutions using relational and non-relational (NoSQL) databases, and horizontally scalable data warehouses/lakehouses (e.g., Redshift, Snowflake, StarRocks).</li><li><strong>Cloud Native (AWS)</strong>: Experience architecting solutions within the AWS ecosystem (e.g., S3, Athena, Glue, EMR, Lambda, Batch).</li><li><strong>Infrastructure &amp; Orchestration</strong>: Production experience treating infrastructure as software using Terraform, alongside experience with orchestration tools like Airflow, dbt, or Step Functions.</li><li><strong>Engineering Fundamentals</strong>: Solid grasp of computer science principles, data structures, algorithms, and git-flow/CI/CD pipelines.</li><li><strong>AI tools</strong>: Good command of using AI tools (e.g. Claude Code, Kiro, Gemini Pro) to improve and refactor your code, increase your productivity and quality and performance of your code.</li></ul><p><br/></p><p><br/></p><p><strong>Preferred Skills</strong></p><p><br/></p><p><br/></p><ul><li><strong>Compiled Languages</strong>: Experience with a compiled or strongly typed language (e.g., Java, Scala, Go, Kotlin, C++, Cython).</li><li><strong>Geospatial Data</strong>: Experience working with GIS (Geographic Information Systems) and geo-spatial datasets.</li><li><strong>Data Formats</strong>: Expertise in optimizing file formats (Parquet, Avro, Iceberg) for performance.</li><li><strong>Streaming Technologies</strong>: Familiarity with Kafka and Flink.</li><li><strong>Backend Context</strong>: Experience working closely with Backend engineers or familiarity with Backend architectural patterns (microservices, API design).</li></ul><p><br/></p><p><br/></p><p><strong>Pay range and compensation package</strong></p><p><br/></p><p>55,000 - 65,000 euros per year</p><p><br/></p><p>On top of a competitive package, we offer:</p><p><br/></p><p><br/></p><ul><li>Hybrid work model + remote work from anywhere worldwide up to 3 months/year</li><li>Individual yearly learning budget of 1,200€</li><li>30 vacation days per year</li><li>Urban Sports Club membership</li><li>Company pension scheme</li><li>Regular team and company events</li><li>Latest hardware and all tools you need to thrive</li></ul><p><br/></p><p><br/></p><p><strong>Equal Opportunity Statement</strong></p><p><br/></p><p><br/></p><p>We are committed to diversity and inclusivity.</p><p><br/></p><p><br/></p><p>Apply now!</p><p><br/></p> </div>