Data Engineer
Data Engineer (m/f/d)
Remotefulltime
Apply on the employer's siteRole description
About the Company
At Adsquare, our mission is driven by our core focus:
- Passion
– Solving complex challenges with great people, tech, and data. - Niche
– Location Intelligence for Programmatic Advertisers.
Our core values are integral to everything we do:
- Drive
: We turn ambition into action to deliver valuable outcomes. - 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 seek candidates who not only bring top-tier technical expertise but also embody these values in every aspect of their work.
About the Role
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.
Responsibilities
- Data Pipeline Ownership
: Take full accountability for the pipeline lifecycle—from raw data ingestion to transformation and external delivery—according to defined SLAs, time, and budget. - Architect Scalable Solutions
: Design and build robust data architectures required to process and transfer terabytes of data. - Pipeline Optimization
: 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. - Engineering Rigor
: Elevate data engineering standards. Implement CI/CD workflows, infrastructure-as-code, test-driven development (TDD), and automated testing to ensure reliable and maintainable code. - Data Monitoring
: Create and maintain live monitoring dashboards to ensure data solutions are healthy and to support strategic decision-making. - Collaboration & Mentorship
: 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.
Qualifications
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.
Required Skills
- Programming Mastery
: 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. - Big Data & PySpark
: 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. - Advanced Optimization Skills
: Proven experience in optimizing data pipelines for compute, working memory, and cost efficiency, including reading and analyzing complex query plans/profiles. - Database & Storage Architecture
: 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). - Cloud Native (AWS)
: Experience architecting solutions within the AWS ecosystem (e.g., S3, Athena, Glue, EMR, Lambda, Batch). - Infrastructure & Orchestration
: Production experience treating infrastructure as software using Terraform, alongside experience with orchestration tools like Airflow, dbt, or Step Functions. - Engineering Fundamentals
: Solid grasp of computer science principles, data structures, algorithms, and git-flow/CI/CD pipelines. - AI tools
: 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.
Preferred Skills
- Compiled Languages
: Experience with a compiled or strongly typed language (e.g., Java, Scala, Go, Kotlin, C++, Cython). - Geospatial Data
: Experience working with GIS (Geographic Information Systems) and geo-spatial datasets. - Data Formats
: Expertise in optimizing file formats (Parquet, Avro, Iceberg) for performance. - Streaming Technologies
: Familiarity with Kafka and Flink. - Backend Context
: Experience working closely with Backend engineers or familiarity with Backend architectural patterns (microservices, API design).
Pay range and compensation package
55,000 - 65,000 euros per year
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
- Urban Sports Club membership
- Company pension scheme
- Regular team and company events
- Latest hardware and all tools you need to thrive
Equal Opportunity Statement
We are committed to diversity and inclusivity.
Apply now!
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