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# Staff Data Analytics Engineer

- **Company:** adsquare GmbH
- **Location:** Hennigsdorf, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Java (Programming Language), Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Big Data, C++ (Programming Language), Profiling, Computer Programming, Continuous Integration, Data Architecture, Information Engineering, Data Systems, Data Warehousing, Jinja (Template Engine), Python (Programming Language), Object-Oriented Software Development, Mockito, Software Engineering, SQL Databases, Test-Driven Development (TDD), Snowflake, Apache Spark, AWS Lambda, Backend, Kotlin, Pyspark, AWS Fargate, Functional Programming, Terraform, Amazon Elastic Mapreduce (EMR), Golang
- **Published:** August 28, 2026
- **Apply:** https://www.stepstone.de/stellenangebote--Staff-Data-Analytics-Engineer-m-f-d-Berlin-adsquare-GmbH--13887396-inline.html

## About the Role

* Engineering Excellence & TDD: Champion rigorous software engineering principles. You will lead the adoption of Test-Driven Development (TDD), CI/CD workflows, and clean code architectures. You ensure our codebase is resilient, testable, and maintainable.\n, * 7+ years of experience in Data Engineering, Analytics Engineering, or Backend Development with a deep focus on massive data systems.\n
 * Geo-Spatial & Time-Series Expertise: Proven, hands-on experience handling massive datasets specifically involving geo-spatial (GIS) data, audience attributes, and high-frequency time-series data.\n
 * Advanced Software Engineering (Python): Mastery of Python beyond standard data scripting. You write highly modular, object-oriented code. You have deep, practical experience with Test-Driven Development (TDD), mocking, exception handling, and performance profiling, functional programming.\n
 * Architectural Vision: Deep expertise in designing scalable data architectures using both relational and horizontally scalable data warehouses/lakehouses (e.g., Snowflake, Redshift, Athena, StarRocks, Iceberg). You deeply understand query execution plans, partitioning, clustering, and cloud cost governance.\n
 * Big Data Frameworks: Extensive experience with large-scale data processing frameworks (e.g., Apache Spark, PySpark, AWS EMR, Glue) to handle massive throughput.\n
 * Expert SQL & dbt: You design scalable, robust data models (using Jinja, macros, incremental strategies) that serve as the foundation for our entire analytics layer.\n
 * AWS Cloud Native & IaC: Hands-on experience building architectures in AWS (e.g.: AWS Lambda, AWS Batch, Glue, StepFunctions, S3, EC2, ECS, ECR, Fargate) and deploying them using Infrastructure as Code (Terraform).\n
 * Leadership Skills: Superb organizational and communication skills. You can distill complex architectural trade-offs for non-technical stakeholders and drive technical consensus among your engineering peers.\n, * Polyglot Programming: Experience with a compiled or strongly typed language (e.g., Scala, Go, Kotlin, C++ or Java).\n
 * Advanced Orchestration: Experience defining complex dependency graphs in tools like Airflow, Dagster, or Prefect.\n

## Description

* Technical Leadership & Architecture: Act as the principal architect for your squad. You will design horizontally scalable, cost-efficient, production-grade data solutions capable of handling TB-scale, highly dimensional datasets.


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