Junior Software Engineer - Data

Responsible for the data environment of the PRDCT platform, adding new data sources and modeling data using various methodologies. Requires SQL knowledge and affinity with data; Python, PostgreSQL, and Microsoft Azure are a plus. Also handles day-to-day operations and client communication.

Entry-level data engineering role focused on building and maintaining data pipelines and infrastructure. Involves working with modern data platforms and contributing to data-driven solutions for clients.

Builds and maintains data pipelines for model training and monitoring, ensuring data quality and accessibility for ML teams. Optimizes pipeline performance and manages data flow.

This Associate Data Platform Engineer role focuses on building and extending batch and streaming data pipelines at TB-PB scale using Scala, Python, Spark, Kafka, and Airflow on GCP. The engineer will configure BigQuery tables, implement data quality checks, and contribute to observability and incident response, while learning from senior engineers. The role requires strong SQL fundamentals and programming ability, with a focus on operational excellence and cost awareness.

This isn’t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We’re aiming to become Germany’s second bootstrapped unicorn. Almedia is already Europe’s #3 fastest-growing company in 2025 (FT1000). We are building the future of marketing by rewarding our community of over 95 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world. Berlin, On-site Top-of-Market Compensation - Exceptional commitment deserves exceptional reward Most junior engineers take years to earn full ownership. Here as all our engineers, you will have real impact from week one and be a part of a team shipping a product millions of people use every day. Your first 12 months compress what takes 3 years elsewhere. You'll join a small team of engineers who have built and shipped at scale, with the support to learn fast. Show us you can own more, and we'll give you more. We're looking for AI-native Junior Software Engineers who know how to build with AI tools, with different focus points, so you can pick your track: 1. TypeScript (Backend or Frontend): - If you love building things people see and use. - You'll build features in our web and mobile apps, test what works with real users. - You'll need: strong TypeScript understanding with a focus on either Node.Js or React.Js. 2. Python (Backend): - If you love building the systems behind the app. - You'll build the services that handle rewards, offers, and payments for millions of users. - You'll need: strong Python and SQL. 3. DevOps: - If you love building the tools that help everyone else ship. - You'll build the CI/CD pipelines, deployments, and AI tooling our engineers use every day, and make them faster and safer. - You'll need: strong TypeScript, Python, or Rust; Kubernetes or GitHub Actions is a plus. 4. AI: - If you love building with LLMs and want to see them work in production. - You'll build AI features and automation that real users and teams rely on like AI-powered product features, internal agents. - You'll need: Hands-on experience building with LLMs or ML models. What You’ll Do - You'll own real problems from first idea to production. - You get going on a vague problem without waiting for a spec, and take it further - You use AI tools to move faster, and you still check the output. - You dig into bugs until you find the real cause. What You'll Bring - Solid fundamentals with proof of depth: projects you shipped, open-source contributions, internships, or strong coursework. - You think about what breaks before it breaks: performance, failure modes, edge cases. - You debug when things go wrong and find the root cause, not just the symptom. - Bonus: a live product with real users, a system you built and harden

This role owns a book of 5-15 advertiser accounts in the Turkish market, driving growth and expansion with a sales and account-management motion. The Growth Manager tunes internal ROAS targets per offer, geo, and OS using Hex, Amplitude, and Looker Studio, and bridges commercial and technical teams to debug issues. Success is measured by top-line revenue growth and proactive account management.

This isn’t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We’re aiming to become Germany’s second bootstrapped unicorn. Almedia is already Europe’s #3 fastest-growing company in 2025 (FT1000). We are building the future of marketing by rewarding our community of over 95 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world. Staff Data Scientist We're looking for a Staff Data Scientist with high ownership to work on meaningful challenges at scale. You spot leverage points others miss: measurement systems that unlock pricing, experimentation infrastructure that multiplies output, causal models that rewrite unit economics. You own these end to end. We value diverse technical lenses. Whether you are: - Causal inference specialist: propensity matching, DID, synthetic control, IV estimation. You turn observational chaos into rigorous insight. - Experimentation architect: designing multi-arm tests, MMM, MTA, uplift modelling. You define statistical rigor. - Systems thinker: building reward structures, pricing algorithms, ranking functions that balance engagement, conversion, and sustainable ROAS. - Zero to one builder: taking vague business questions into production data products. What You'll Own - Measurement strategy. Design causal frameworks that reveal unit economics, attribution, and intervention impact. Own the gold standard documentation so others ship faster. - Experimentation infrastructure. Build platforms that enable rapid iteration and define statistical rigor without sacrificing speed. - High leverage models. Identify and own the models that move unit economics: pricing, ranking, user incentive systems. Partner with engineering to productionize rigorously. - Technical leadership. Mentor junior data scientists. Set the bar for how we think about causality, measurement, and trade offs. Drive clarity when stakeholders disagree. - Cross functional influence. Work alongside Product, Engineering, and Leadership to turn data insight into business action. What We're Looking For - Proven autonomy. Track record moving unit economics through novel approaches. You own problems end to end. - Causal thinking. Deep experience with causal inference techniques (propensity matching, DID, synthetic control, IV estimation). You reason about causality, not just fit models. - Experimentation expertise. Led complex multi-arm experiments and designed or owned MMM, MTA, or uplift modelling systems. You understand type I and type II error costs. - Production maturity. Built and deployed models in product environments (Gaming, AdTech, user incentive systems preferred). You own metrics, monitoring, and decay. - Data engineering fluency. Comfortable with modern data stacks (dbt, Airflow, Kubernetes, Terraform). You architect alongside engineering, not just c