20 beste Stellen als staff software engineer (m/f/d) data in berlin, be – aktuell auf Personalsuche

Staff Data Analytics Engineer (m/f/d)
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Staff Data Analytics Engineer (m/f/d)

adsquare GmbH
Berlin

Jetzt bewerben

Details zur Stelle

Festanstellung | Vollzeit
90.000 € – 100.000 € pro Jahr

Leistungen

Firmenevents

Qualifikationen

CI/CD
Go
Big Data
Spark
Testgetriebene Entwicklung
Java
SQL
AWS
C++
Scala
Terraform
S3
Redshift
Führungserfahrung
Kommunikationsfähigkeit
Python
Analytik

Vollständige Stellenbeschreibung

Berlin

Full-time

Permanent employee

90,000 - 100,000 € per year

Intro

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.
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 team

We are looking for a Staff Data Analytics Engineer to join our technical proficiency track. This is a highly technical, Individual Contributor (IC) role. You will act as the Technical Lead for your squad—making critical architectural decisions, defining engineering standards, and driving cross-squad collaboration—without the responsibilities of people management.

You will be the technical north star for the team, approaching extremely complex data problems with a rigorous software engineering mindset. You will design, build, and oversee production-grade data platforms that process massive volumes of geo-spatial data, audience attributes, and geo-location time-series data.

Your Profile

We are looking for an exceptional engineer who has a proven track record of acting as a technical leader and domain expert in heavy data environments.

Must-Have Skills:

7+ years of experience in Data Engineering, Analytics Engineering, or Backend Development with a deep focus on massive data systems.
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.
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.
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.
Big Data Frameworks: Extensive experience with large-scale data processing frameworks (e.g., Apache Spark, PySpark, AWS EMR, Glue) to handle massive throughput.
Expert SQL & dbt: You design scalable, robust data models (using Jinja, macros, incremental strategies) that serve as the foundation for our entire analytics layer.
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).
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.

Nice-to-Have Skills:

Polyglot Programming: Experience with a compiled or strongly typed language (e.g., Scala, Go, Kotlin, C++ or Java).
Advanced Orchestration: Experience defining complex dependency graphs in tools like Airflow, Dagster, or Prefect.

What you will do

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.
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.
Cross-Squad Impact: Drive technical alignment beyond your immediate team. You will act as an engineering ambassador, solving architectural issues that span multiple squads, keeping our technical processes synchronized, and aligning your squad's work with global engineering priorities.
Domain Mastery: Leverage your deep expertise to build high-value data products on top of location signals and audience attributes. You don't just process data; you deeply understand its geographic and time-series nature to unlock its business value.
Mentorship & Code Quality: Be the technical mentor for Senior, Mid, and Junior engineers. Through highly insightful code reviews, architectural feedback, and pair programming, your input will consistently be the source of others’ learning and growth.
Data Observability: Proactively build monitoring and alerting frameworks at the infrastructure level to catch anomalies in our multi-terabyte data streams before they impact downstream products.

Why us?

On top of a competitive package…

We are open to flexible work models: we work on a hybrid mode and remotely
To encourage education and professional growth, we offer an individual yearly budget of 1.200€
You are entitled to 30 vacation days per year
We offer Urban Sports Club membership, company pension scheme
Regular team events and company events organised by our People team (Trust us, they know how to throw a party!)
We equip you with the latest hardware and provide you with all the tools you need to thrive

Salary Range (Annual On-Target Earnings)

90,000 - 100,000 euros

Recruiting Process

could require on site steps

Step 1: Short 30-min take-home technical quiz.
Step 2: Value-based interview (30 mins).
Step 3: Deep-dive technical interview (1.5 hours) with the Data team.
Step 4: Practical data-crunching challenge.
Step 5: Team Meet & Greet — the final step to ensure we’re a great fit for each other.

Work model

Hybrid

Desired start date

Asap

About us

Adsquare is the global audience & location intelligence company making marketing a whole lot smarter.

With eight offices around the world we are a truly international company but one united team working towards our vision: empowering companies to accelerate business growth by staying at the forefront of data-driven marketing.

We are pioneers in advertising and data. We were born mobile, before it was a necessity, and have pioneered data-driven advertising in display and now DOOH. We have the smartest people, working with the best tech, so we can drive the pace of change.

We are visionaries. We see a better way for marketers and are doing everything we can to make that a reality. We believe in innovation and the power of technology. We believe in constantly improving what we’re doing because the work is never done.

We believe in what we do and rise to meet our own high standards. If there’s a problem, we fix it, humbly and without fuss or delay. Although our technology is best-of-breed, we are unassuming and modest in our approach.

We are passionately candid, both with each other and with our clients. We take the time to explain our approach to their problem, confident there is nothing to hide.

We are consistent and true to our word. We don’t take shortcuts but focus on being our clients’ most reliable partner. We make promises - and we keep them. As a result, clients enjoy spending time with us, because we are good people.

Jetzt bewerben

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