
Adsquare · Berlin
INTRO At Adsquare, our mission is driven by our core focus: Passion, solving complex challenges with great people, tech, and data; and Niche, location intellig...
At Adsquare, our mission is driven by our core focus: Passion, solving complex challenges with great people, tech, and data; and
Niche, location intelligence for programmatic advertisers.
We seek candidates who not only bring excellent technical expertise but also embody these values in every aspect of their work.
As a Staff Backend Engineer, you will own the design and operation of the high-throughput JVM services that turn massive streams
of location data into products our partners depend on in real time.
You will operate with a high degree of autonomy and engagement, seeking out the problems worth solving, driving performance and
reliability across our services, and making the architectural decisions that shape how the whole organisation builds and scales.
You will thrive in ambiguity, turn business-critical challenges into systems that hold up under real-world load, and lift the
engineers around you as you go.
We are looking for a staff-level engineer with a strong backend and cloud background who is comfortable owning complex systems in
production. Our stack is centered on Java, Kotlin, and AWS, and while the specifics are listed below, we don't expect prior
experience with every tool we use.
Must-Have Skills
testing, and review while keeping strong judgment over correctness, security, and maintainability.
incomplete information.
Functions).
90,000 - 100,000 euros per year
Hybrid or Remote
As soon as possible
P-1328 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. The impact you'll have: Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: * Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. * Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. * Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage. What we look for: * BS (or higher) in Computer Science, or a related field * 7+ years of production level experience in one of: Java, Scala, C++, or similar language. * Experience developing large-scale distributed systems. * Experience working on a SaaS platform or with Service-Oriented Architectures. * Good knowledge of SQL. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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 For technical roles (Data, Engineering, and Product), candidates are encouraged to upload any technical certifications referenced in their CV via the "Other Documents" section of the application form. Alternatively, certification documents may be submitted after the first technical interview. Any certifications listed on the CV must be provided and successfully validated before proceeding to the second technical interview stage. * 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
BESCHREIBUNG Do you love untangling messy systems, shipping real improvements, and setting a higher engineering bar? Join meinUnterricht, Germany's leading platform for teachers, as a Staff Engineer. You'll own the architecture of the core systems that run our business and decide how a decade of accumulated complexity gets simplified. We want a hands-on architect who questions the status quo and pushes our AI-first engineering even further. Our Tech Stack We believe in transparency. You will be working across both legacy and modern systems, with a strong mandate to help us consolidate and modernize over time. Where we are going (the new stack): Monorepo architecture, APIs built with Hono, Prisma for DB migrations, Vitest, PostgreSQL, Stripe, and AWS CDK for infrastructure. What we currently have: React, Redux, Node.js (Hapi), MongoDB (Mongoose), MySQL, Zuora, and AWS (EC2, ECS, CloudFront). DEINE AUFGABEN * Drive System Architecture: Lead the technical direction for our core systems, including subscription infrastructure, cloud foundations, shared backend services, database architecture, and data pipelines. * Modernize the Foundation: Identify what should be kept, replaced, merged, or removed across our legacy systems, and turn that into a pragmatic target architecture with an execution path. * Technical Ownership: You stay deep in the code on the highest-impact problems. You make the architecture decisions and the hard technical tradeoffs, and you set the bar others build to. * Raise the Bar with AI: Model an AI-first engineering culture by using tools like Claude Code, Codex, or similar across coding, migrations, infrastructure, and workflow automation. DEIN PROFIL * Broad Systems Depth: Strong backend (fluency in TypeScript/Node.js) and infrastructure experience across areas like databases, cloud services, queues, caching, networking, integrations, or pipelines. Not just one narrow specialty. * Migration Experience: You have led or played a major role in moving production systems from old to new, and you understand the messy middle: dual-running, rollout strategy, data integrity, and rollback planning. * Product Sense: You think beyond the system to the user and the business. You balance long-term architecture against the value that needs to ship now. * Cloud & Platform Experience: You're comfortable working in AWS-heavy environments and have practical experience improving infrastructure, reliability, and developer workflows. IaC experience is a big plus. * AI-Native Mindset: You actively use AI tools in real engineering work and see them as a serious force multiplier, not a gimmick. WARUM WIR? * Meaningful Product: Build infrastructure behind a platform that helps tens of thousands of teachers prepare better lessons, faster. * Real Ownership: You'll own a critical systems domain with direct impact on revenue, product velocity, and the technical future of the company. * AI-First Engineering Culture: We invest heavily in AI tooling (Claude Max Plan or equal) and expect engineers to use it deeply and practically in day-to-day work. * Strong Berlin Setup: Work from our office at Potsdamer Platz in a hybrid setup, combining regular in-office days for collaboration with remote work days for focused execution. * Meaningful Benefits: A device of your choice, Deutschland Ticket or Urban Sports Club, work remotely from anywhere in the world for up to 10 days per year, Jobrad, and more. PROZESS * Remote coding challenge * Technical interview (video call) * System design interview (preferably on site in our offices in Berlin) * Technical leadership interview (preferably on site in our offices in Berlin)