2626950 adsquare GmbH Berlin External - Poland Data Data (Senior) Data Engineer (m/f/d) 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 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 team 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. To give you an idea of the work, your daily mission might involve:

Data Ingestion & Products: Developing data solutions built on massive volumes of location signals, geospatial (places) data, and audience attribute data.
Data Integrations & Egress: Architecting privacy-first, massive-scale data egress solutions to ensure our datasets reach external partners reliably, securely, and efficiently.

Regardless of the specific squad, you will work alongside a talented team of Data and Backend Engineers under the guidance of a Technical Team Lead, operating with a high degree of autonomy and a strong software engineering mindset.

]]> Your Mission

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.

]]> Your Profile 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.

Must-Have Technical 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.

]]> Nice to Have

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).

]]> Why us?

Hybrid work model

30 vacation days

Learning budget

Regular team and company events

Latest hardware of your choice

Pet-friendly Berlin office

]]> 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 permanent experienced full-time 2-5 general_and_other_engineering engineering 2026-05-07T10:39:07+00:00 55000.00 65000.00 € EUR yearly 2630179 Berlin Legal & Privacy Legal & Data Privacy Compliance Legal Counsel (m/f/d) Intro Adsquare's mission is centered on:

Passion: Solving complex challenges with exceptional people, technology, and data.
Niche: Specializing in Location Intelligence for Programmatic Advertisers.

Our work is guided by our core values, and we look for candidates who embody them:

Drive: Turning ambition into action that brings valuable outcomes.
Resilience: Adapting, persevering, and growing stronger through challenges.
No BS: Upholding honesty, transparency, and clear communication.
Humble: Valuing modesty and letting results speak for themselves.
Moral Compass: Acting with fairness, integrity, and respect.

]]> Your Mission We are looking for a full-time Legal Counsel who is a true "thinker and doer" — someone who can navigate complex legal strategies and then roll up their sleeves to execute them.

You will work closely with the Head of Legal & Compliance to manage and scale Adsquare's Data & AI Compliance Programme. This is a hands-on role where you will build, maintain, and audit the infrastructure that ensures our global products stay compliant with GDPR, the EU AI Act, US privacy laws, and beyond — acting as a key pillar of our Legal & Compliance team and bridging the gap between multiple data regulations and our daily business operations.

]]> Your Profile

Educational Background: You have passed the first state law examination (or equivalent from a Civil Law System) and possess at least 3 years of continuous, solid and specific experience in data protection, preferably within the technology or advertising sectors.

Certifications: You hold a recognized GDPR certification (e.g., CIPP/E). This is a mandatory requirement.

"Hands-on" Expertise: You have a proven track record of "doing" — you have personally managed ROPAs, drafted DPIAs, and conducted audits. You thrive when taking ownership of projects while remaining a collaborative team player.

Tech-Savvy: You are comfortable working with tools like OneTrust, Jira, and G-Suite. You have a genuine interest in how privacy laws apply to emerging technologies in the AdTech space.

Work Style: You are a proactive problem-solver who values clarity and efficiency. You have a "legal design" mindset — aiming to make legal compliance intuitive for everyone.

Language Proficiency: Excellent English language skills (written and verbal) are required.

]]> What you will do Your responsibilities within the Data Protection Programme include:

Audits & Security Governance: Plan and execute regular audits of our data suppliers and partners to assess collection practices and consent management.
Internal Compliance Operations: Support our teams in ensuring our products and operations include privacy and compliance by design, are aligned with our internal policies, and keep our records, ROPA, DPIAs, etc. up to date.
Training: Develop and deliver privacy training to ensure a high level of "Internal Information on Compliance" across all teams.
Data Subject Requests (DSRs): Manage the end-to-end process for DSRs, ensuring timely and compliant responses.
Data Breaches: Support the management of the data breach response framework, from documentation to notification.
Legal Tech & Regulatory Monitoring: Monitor the global regulatory landscape and track regulatory changes in Europe, the US, and other key markets to ensure our documentation remains ahead of the curve.
Contractual Support: Provide expert drafting and negotiation for Data Processing Agreements (DPAs) and specific privacy clauses, and support the contractual team on commercial agreements.

]]> Nice to Have

Familiarity with AI governance frameworks.

German language skills.

Other EU languages: French, Italian, or Spanish.

]]> Our Software Stack

Compliance & Privacy: OneTrust

Collaboration: Jira, G-Suite

]]> Why us?

Hybrid work model

€1,200 yearly learning budget

30 vacation days

Urban Sports Club membership

Company pension scheme

Regular team & company events

Latest hardware and tools

]]> Salary Range (Annual On-Target Earnings) Recruiting Process Technical Interview - 1 hour
Case study interview - 1 hour]]> Work model Desired start date permanent experienced full-time 2-5 general_and_other_legal legal 2026-05-11T10:19:35+00:00 65000.00 75000.00 € EUR yearly 2668641 adsquare GmbH Berlin Data Data Data Analytics Engineer (m/f/d) 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 excellent technical expertise but also embody these values in every aspect of their work.

]]> Your Mission Key Responsibilities

Pipeline Engineering: Build, deploy, and maintain robust transformation pipelines for high-volume data. You will participate in the full lifecycle: ingestion, transformation, testing (unit/integration), deployment, and monitoring.
Optimization & Maintenance: Write highly efficient code and collaborate with the team to refactor legacy systems, helping to improve performance and reduce cloud compute costs (e.g., optimizing Athena/Snowflake/Redshift clustering or AWS Glue jobs).
Software Engineering Best Practices: Adhere to and promote the team's technical standards by actively utilizing CI/CD workflows, containerization (Docker), and automated testing.
Data Quality & Observability: Focus on infrastructure monitoring rather than just business dashboards. You will implement alerts and checks (e.g., dbt tests, Great Expectations) to catch data quality issues before they reach stakeholders.
Collaboration & Growth: Work closely with Senior Engineers to plan architectures, participate actively in code reviews, and advocate for engineering rigor within the squad.

]]> Your Profile We are looking for a Data Analytics Engineer who approaches data with a software engineering mindset. You will join our Data Solutions squad to build and maintain production-grade data platforms.

This is not a Data Analyst role. While you will understand the business context, your primary focus is technical: building scalable workflows, writing clean and testable Python/SQL code, automating deployments, and supporting cloud infrastructure optimizations. You will ensure our pipelines remain reliable, cost-effective, and maintainable.

We are looking for a candidate who has solid analytics engineering experience or a strong background in backend development focused on data.

Must-Have Skills

2+ years of experience specifically in Analytics Engineering or Data Engineering.
Solid Python proficiency: You write modular, object-oriented code, utilize relevant libraries for testing, and understand exception handling and logging.
Strong skills in SQL & dbt: You can build scalable data models (Jinja templating, macros, incremental strategies) and understand query execution plans.
Software Engineering Fundamentals: Hands-on experience with Git flows, CI/CD pipelines (e.g., GitHub Actions, GitLab CI), and Containerization (Docker).
AWS Cloud Native Experience: Experience building and maintaining data workflows using serverless architectures such AWS Lambda, StepFunctions, Glue, and Athena.
Testing Mindset: Experience implementing Unit Tests and Integration Tests for data pipelines rather than relying solely on manual checks.
Data Warehouse Ops: Solid understanding of warehousing architecture (Snowflake, Redshift, or BigQuery), including partitioning and clustering concepts.

]]> Nice to Have

Experience with Infrastructure as Code (Terraform) to manage cloud resources.

Experience with orchestration tools like Airflow, Dagster, or Prefect.

Knowledge of big data processing frameworks (Spark/PySpark).

Experience with agentic coding CLI or IDE tools for more efficient planning, architecting and implementation of features.

Familiarity with dashboarding tools (Streamlit, Preset, Tableau, etc.) – Note: This is helpful for debugging and monitoring, but not the core function of the role.

B.S. or M.S. in Computer Science, Engineering, Mathematics or other relevant fields.

]]> Why us? On top of a competitive package…

We are open to flexible work models: we work in a hybrid mode and remotely from anywhere in the world up to 3 months per year.
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) Recruiting Process

Step 1: Value-based interview (30 mins).

Step 2: Deep-dive technical interview (1.5 hours) with the Data team.

Step 3: Practical data-crunching challenge.

Step 4: Team Meet & Greet — the final step to ensure we're a great fit for each other.

]]> Work model Desired start date permanent experienced full-time 2-5 other other 2026-06-11T17:07:05+00:00 60000.00 75000.00 € EUR yearly 2620734 adsquare GmbH Berlin Product Product Data Operations Analyst (m/f/d) Intro About Adsquare

Adsquare's mission is centered on:

Passion: Solving complex challenges with exceptional people, technology, and data.
Niche: Specializing in Location Intelligence for Programmatic Advertisers.

Our work is guided by our core values, and we look for candidates who embody them:

Drive: Turning ambition into action that brings valuable outcomes.
Resilience: Adapting, persevering, and growing stronger through challenges.
No BS: Upholding honesty, transparency, and clear communication.
Humble: Valuing modesty and letting results speak for themselves.
Moral Compass: Acting with fairness, integrity, and respect.

]]> What you will do Own Adsquare Data Execution & Automation

Deliver internal data projects, breaking down operational goals into clear work packages and executing against them.
Ensure Adsquare Data is prepared and delivered seamlessly across all partner channels.
Build automation workflows that persistently reduce manual operational work using AI tools where they create real leverage.
Monitor and improve data quality ensuring data is accurate, reliable, and up-to-date.
Anticipate and resolve operational bottlenecks, bringing solutions rather than just surfacing problems.

Optimise Data Distribution & Integrations

Ensure seamless data syndication across DSPs, DMPs, and platforms.
Work with Data Analytics Engineers to automate taxonomy mapping and partner integrations.
Implement monitoring and alerting systems to detect issues before they impact revenue.

Operational Efficiency & Scalability

Analyse partner usage and adoption trends to optimise performance and distribution.
Drive efficiency in package management and taxonomy distribution.
Collaborate with Product and Commercial teams to support pricing and data availability.

]]> Why us? At Adsquare, you will work at the cutting edge of data science and machine learning in a dynamic, value-driven environment. We are committed to our team's growth, empower you to challenge the status quo, and offer a platform where your contributions directly shape the future of location intelligence for programmatic advertisers.

If you are passionate about leveraging data science to drive innovation, eager to contribute to a talented team, and committed to our core values, we encourage you to apply.

On top of a competitive package…

We are open to flexible work models: we work on a hybrid model
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

Apply Now!

]]> permanent experienced full-time 5-7 product_management marketing_and_product 2026-05-01T09:10:31+00:00 50000.00 65000.00 € EUR yearly 2573280 adsquare GmbH Berlin Data Data Data Scientist Intro Adsquare's mission is centered on:

Passion: Solving complex challenges with exceptional people, technology, and data.
Niche: Specializing in Location Intelligence for Programmatic Advertisers.

Our work is guided by our core values, and we look for candidates who embody them:

Drive: Turning ambition into action that brings valuable outcomes.
Resilience: Adapting, persevering, and growing stronger through challenges.
No BS: Upholding honesty, transparency, and clear communication.
Humble: Valuing modesty and letting results speak for themselves.
Moral Compass: Acting with fairness, integrity, and respect.

]]> Your Mission As a Data Scientist at Adsquare, you will transform massive geospatial and behavioral datasets into production-ready intelligence. You won't just build models in a vacuum; you will collaborate with ML Engineers and Product owners to integrate advanced analytics into our core programmatic advertising platform. This role is a blend of high-scale engineering and rigorous scientific research.]]> Your Profile

Experience: 5+ years (B.S.), 3+ years (M.S.), or 1+ year (Ph.D.) in a hands-on Data Science role.

Theoretical Mastery: Strong foundation in Probability, Inferential Statistics, Linear Algebra, and Experimental Design.

Python Stack: Expert proficiency in pandas, scikit-learn, PyTorch/TensorFlow, and FastAPI.

Large-Scale Data: Proven experience querying and manipulating TB-scale datasets using SQL (e.g., BigQuery, Athena, Redshift, or Snowflake).

Cloud Production: Experience deploying and monitoring models within AWS (SageMaker, Lambda) or similar cloud environments.

Educational Background:

Bachelor’s or Master’s degree (Ph.D. is an advantage) in a relevant quantitative empirical science field (e.g., Mathematics, Physics, Statistics, Engineering, Machine Learning, Computer Science, Economics, Social Sciences, Psychology, Neuroscience) or equivalent practical experience.

Soft Skills & Personal Attributes:

A strong commitment to Adsquare's core values: Drive, Resilience, No BS, Being Humble, and a strong Moral Compass.
Exceptional written and verbal communication skills, with the ability to translate complex technical concepts into clear, actionable insights.
A proactive, research-driven approach to creatively and precisely solving complex challenges.

]]> What you will do

End-to-End ML Development: Design, train, and deploy machine learning models at scale, focusing on location intelligence and audience attributes.

Production Excellence: Partner with Data/ML Engineers to ensure models are robust, monitored, and seamlessly integrated into our cloud-native production workflows.

Strategic R&D: Lead research initiatives involving LLMs (LangChain, MCPs, specialized agents) and classical statistical/ML modeling to solve complex spatial problems.

Data Advocacy: Conduct rigorous EDA and experiment design to ensure data quality and provide actionable insights for strategic decision-making.

Scientific Contribution: Represent Adsquare by contributing to peer-reviewed publications and staying at the forefront of spatial data science.

]]> Nice to Have

Data Modeling: Experience with dbt and modern data stack orchestration.

Generative AI: Hands-on experience building LLM-based applications using e.g., LangChain, MCPs, Streamlit.

Domain Expertise: Prior experience in Programmatic Advertising or Geospatial/GIS data.

]]> Our Software Stack

Languages: Python, SQL

Tools: AWS (SageMaker, Redshift, Athena), Snowflake, dbt, FastAPI, Docker

ML/AI: PyTorch, Scikit-learn, LangChain, Streamlit

]]> Why us?

On top of a competitive package…

We are open to flexible work models: we work on a hybrid mode and remotely from anywhere in the world up to 3 months per year
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) 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 Desired start date permanent experienced full-time 5-7 general_and_other_engineering engineering 2026-03-23T12:22:38+00:00 60000.00 70000.00 € EUR yearly 2625627 adsquare GmbH Berlin Product Product Product Owner – Measurement Integrations (m/f/d) Intro
Our mission is built on:

Passion: solving complex challenges with exceptional people, technology, and data
Niche: specializing in location intelligence for programmatic advertisers

We hire people who embody our core values:

Drive: turning ambition into tangible outcomes
Resilience: adapting and growing through challenges
No BS: clear, honest, transparent communication
Humble: letting results speak for themselves
Moral Compass: acting with integrity and fairness

]]> About the team Your Mission Your Profile

Passionate about data products and the interfaces that deliver them.

A pragmatic product owner with 3-4 years of experience in PO or technical PM roles, ideally in AdTech, MarTech, or data-heavy ecosystems.

A strong project manager – sequencing work, mapping dependencies, and scoping against time come naturally, whether the conversation is with our engineers, our architects, or our partners' integration teams.

Operationally rigorous – you think in SLIs, SLOs, freshness, match rate, and MTTR, not just features shipped. You run a tight backlog, break work into testable stories, and remove blockers fast.

Comfortable with ambiguity – you make decisions with limited information, adjust as new insight arrives, and translate business intent clearly enough that engineering doesn't over- or under-build.

A clear communicator across altitudes – translating strategy into specs, and engineering reality into product trade-offs.

A servant leader by instinct – you create clarity, protect focus, and foster self-organisation.

A true owner – you drive outcomes without step-by-step direction, and surface tensions upward rather than resolving them quietly. No BS, no politics.

Ideally based in Berlin.

The kind of person who measures success collectively. Winning is a together-thing (this is non-negotiable for this specific position).

You feel that you don't meet all but most requirements? Apply anyway. You have the chance to develop further with us.

]]> What you will do Own the Measurement Squad's Delivery

Own and maintain your Squad's backlog and roadmap, working closely with the Lead PM Measurement & Attribution.
Translate strategy into clear, testable user stories with well-defined acceptance criteria.
Manage priorities, scope, and trade-offs to deliver on time.
Run the squad's work as a project — sequence initiatives, map dependencies, scope against time.
Lead the squad's contribution to the technical transition out of the legacy measurement service, in partnership with engineering and the architect.
Manage internal dependencies — SLAs, schema contracts, and joint roadmap touchpoints with the Signal Data & Visit Squad, telling upstream what's needed based on monetisation use cases.
Coordinate releases of new schemas, APIs, integrations, and delivery modes.
Surface positioning, packaging, or roadmap tensions pro-actively.

Drive Partner Integrations & External Technical Collaboration

Act as the primary PO-level counterpart to partner technical teams (DSPs, social platforms, activation endpoints).
Co-own integration specs, schema contracts, and change management with our technical account management team.
Represent Adsquare credibly in external technical conversations on data structure, identifiers, match methodology, and delivery.
Support the Lead PM on new monetisation channels through feasibility input, integration scoping, and prototype delivery.

Guarantee Operational Excellence & Data Product Reliability

Ensure our measurement data products meet standards of quality, privacy, reliability, and scalability.
Define, own, and report on operational KPIs: freshness, SLA adherence, completeness, schema validation, match rate, MTTD, MTTR, uptime.
Own the operational visibility layer that surfaces data product health to internal teams.
Establish SLIs, SLOs, and escalation paths in partnership with technical account management teams and engineering squads.

]]> Our Software Stack Product Ownership: Scrum, Agile, Backlog Management, Project Management, Release Coordination, Stakeholder Management
Domain: AdTech, Programmatic, DSP Integrations, Data Feeds, Audience & Spatial Data, Identity & Match
Data Operations: SLIs/SLOs, Freshness, Match Rate, MTTD/MTTR, Schema Contracts
Tools: SQL, API Documentation, Jira, Confluence]]> Why us?

Hybrid work model

30 vacation days

Learning budget

Regular team and company events

Latest hardware of your choice

Pet-friendly Berlin office

]]> Salary Range (Annual On-Target Earnings) Recruiting Process Technical Interview - 45 min
Case Study Interview - 90 min
Team Interview - 30 min]]> Work model Desired start date permanent experienced full-time 2-5 Product Ownership · Agile · Scrum · Backlog Management · AdTech · Programmatic Advertising · DSP Integrations · Audience Data · Spatial Data · Identity Resolution · Match Rate · SLI/SLO · SQL · API Documentation · Jira · Confluence · Stakeholder Managemen product_management marketing_and_product 2026-05-06T10:24:42+00:00 60000.00 70000.00 € EUR yearly 2529546 adsquare GmbH Paris Sales Sales / Client Success Sales Manager France & Benelux (f/m/d) Intro With a solid European presence, we are now accelerating our expansion across the French and Benelux markets.]]> Your Mission Sales Manager France & Benelux (f/m/d), you will be a key member of the regional Sales Team, reporting directly to the General Manager France & Benelux.
You will play an active role in developing the market, driving new business and contributing directly to regional revenue growth.
Your responsibilities will include:

Closing deals with agencies, media buyers and direct advertisers, with a focus on mid-market accounts
Identifying, prospecting and qualifying new business opportunities across France and Benelux
Building and maintaining strong relationships with clients and partners to ensure long-term collaboration and campaign success
Acting as a trusted advisor, helping clients optimise their advertising strategies using Adsquare’s data solutions
Managing and maintaining an accurate sales pipeline in close collaboration with internal teams
Staying up to date with Adsquare’s product innovations and technological developments
Supporting commercial negotiations, including data usage agreements and contractual terms
Clearly communicating Adsquare’s value proposition and positioning in the market
Actively engaging in the programmatic and digital advertising ecosystem through events, networking and industry initiatives

]]> Your Profile

1–3 years of experience in sales or business development within digital media, AdTech, MarTech or data-driven advertising

Exposure to programmatic advertising, audience data or digital media trading is a strong advantage

Comfortable with prospecting, outreach and cold calling

Strong interpersonal and communication skills

Results-driven with a clear commercial mindset

Well-structured and disciplined in pipeline management

Fluent in French and English (Dutch is a plus)

You are ambitious, proactive and eager to grow within a fast-scaling international AdTech company.]]> Why us?

Competitive compensation package with performance-based bonus

Hybrid working model

€1,200 annual learning & development budget

30 days of paid vacation

9 additional RTT days per year

Public transport contribution

Mental health support and well-being initiatives

]]> permanent entry-level full-time 1-2 media_and_advertising_sales sales_and_business_development 2026-02-13T14:46:08+00:00 35000.00 45000.00 € EUR yearly 2538095 adsquare GmbH Berlin External - Poland Technology Engineering Senior Backend Engineer - JVM (Java/Kotlin) & AWS 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.

]]> Your Mission As a Senior Backend Engineer at Adsquare, you will take ownership of designing and operating high-scale distributed systems that power our core data products.

Your primary mission is to build reliable, high-throughput backend services on the JVM that process and serve large volumes of location intelligence data in real time.

You will work in a highly autonomous, cross-functional team and be expected to proactively identify problems, propose solutions, and drive them to production.

In this role, you will:

Design and evolve distributed backend systems with a strong focus on scalability, performance, and reliability
Own services end-to-end: from architecture decisions to production operations
Build and operate cloud-native systems on AWS
Collaborate closely with Product and Data teams to deliver impactful features
Continuously improve system design, engineering practices, and team effectiveness

]]> Your Profile We are looking for a senior-level engineer with a strong backend and cloud background, who is comfortable owning complex systems in production.

Must have:

4–5+ years of experience building backend systems in production environments
Strong expertise in Java or other JVM-based languages (Kotlin, Scala) and the Spring ecosystem
Proven experience designing and operating distributed systems under real-world load
Hands-on experience with AWS, including designing cloud-native architectures
Strong understanding of concurrency, data consistency, and system reliability
Experience working with PostgreSQL or other relational databases in high-throughput environments
Ability to debug and optimize systems in production (performance, memory, latency)
A proactive approach: you identify problems, take ownership, and drive solutions without close supervision

Nice to have:

Have worked on systems processing large volumes of data or high request throughput
Understand trade-offs between different architectural approaches (e.g. synchronous vs asynchronous processing)
Are comfortable making decisions in ambiguous situations

]]> What you will do

Maintain and evolve existing partner integrations, ensuring reliability and scalability

Design and build new integrations to deliver large-scale data to our partners

Contribute to migrating and adapting services to a cloud-native architecture on AWS

Monitor system health, troubleshoot production issues, and improve overall system stability

]]> Nice to Have We are particularly interested in candidates who have worked in environments involving:

Data-intensive systems or high-throughput backend services
Cloud-based architectures (especially AWS)
Partner integrations or API-driven systems
Systems evolving from monolithic to distributed or cloud-native architectures

]]> Our Software Stack Our backend stack is centered around the JVM ecosystem and AWS.

Core technologies:

Java (11+) and Kotlin
Spring / Spring Boot
AWS (e.g. S3, SQS/SNS, Lambda)
PostgreSQL

In our environment, you will also work with:

Infrastructure as Code (Terraform)
NoSQL databases (e.g. MongoDB)
Container orchestration (Kubernetes)
Data processing tools (e.g. Athena, Glue, Batch, Step Functions)

We do not expect prior experience with all of the above, but you should be comfortable working with modern cloud infrastructure and data-intensive systems.

]]> Work model permanent experienced full-time 2-5 general_and_other_engineering engineering 2026-02-20T09:40:54+00:00 60000.00 70000.00 € EUR yearly 2540423 adsquare GmbH Berlin Data Data Staff Data Analytics Engineer (m/f/d) 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) 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 Desired start date permanent experienced full-time 7-10 general_and_other_engineering engineering 2026-02-23T13:56:57+00:00 90000.00 100000.00 € EUR yearly 2626982 adsquare GmbH Berlin London Paris New York Milan Düsseldorf People & Enablement Talent Community Data Consent Should you wish to withdraw your consent, please contact us at recruiting@adsquare.com. We will promptly process your request and ensure the deletion of your personal data.]]> permanent experienced full-or-part-time other other 2026-05-07T10:53:52+00:00