Data Engineer (m/f/d)

Adsquare; Berlin; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Hybrid + remote flexibility

Learning budget 1,200€

30 vacation days

Urban Sports Club

Company pension

Team events

Latest hardware

Zusammenfassung

Adsquare is seeking a (Senior) Data Engineer in Berlin to build and maintain scalable big data pipelines that power our applications. You will join a cross-functional squad based on strengths and business needs, delivering data solutions across the stack.

You will own pipelines from ingestion to delivery, design robust architectures, implement CI/CD, monitor data health, optimize performance and cost, and mentor junior teammates in a fast‑paced, collaborative setting.

Qualifikationen

• Experience building scalable data pipelines in a modern cloud environment.
• Strong knowledge of Python and SQL, with Spark/PySpark experience.
• Familiarity with data lakehouse architectures and open formats.

Aufgaben

• Own data pipelines end-to-end from ingestion to delivery.
• Architect scalable data solutions and optimize for cost and performance.
• Implement CI/CD workflows, IaC, and automated testing.
• Monitor data health with dashboards and support decision-making.
• Mentor junior team members and promote engineering best practices.

Kenntnisse

Python & SQL

PySpark

Data pipelines

Big data architectures

AWS

CI/CD & IaC

SQL & NoSQL databases

Team collaboration

Ausbildung

Bachelor's degree in CS or equivalent

Tools

Airflow

dbt

Terraform

Kubernetes

Git

Iceberg

Parquet/Avro

Jobbeschreibung

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:

• 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

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.