Data Analyst

Adsquare

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. ABOUT THE TEAM We are looking for a highly technical Data Analyst who operates at the intersection of Data Analysis and Data Engineering. This role is not for someone who only wants to build and maintain dashboards. You approach workflows with an automation-first mindset, genuinely excited about using workflow automation tools and AI to eliminate toil and scale operations efficiently. You are a proactive problem solver—you do not wait for inefficiencies to be assigned, but actively hunt for bottlenecks and build scalable solutions. YOUR MISSION * Operational Execution & Automation: Design and deploy automation workflows using modern cloud infrastructure and AI tools to persistently reduce manual work and resolve system bottlenecks. * Data Quality & Reliability: Ensure data meets strict standards for accuracy, compliance, and freshness by implementing and refining robust monitoring and alerting systems. * Project Ownership & Delivery: Own data projects from inception to delivery, mapping dependencies and managing priorities alongside Engineering, Product, and Partnerships. * Data Distribution & Integrations: Coordinate the rollout of taxonomy updates and data packages, ensuring seamless data syndication across external platforms. * Requirement Translation & Storytelling: Translate complex data and usage trends into clear, actionable visualizations and strategic insights for both technical and commercial audiences. YOUR PROFILE * 2+ years of experience in Data Analytics or Data Engineering. * Proficiency in SQL, Python, dbt, ELT workflows, and cloud data infrastructure (AWS, GCP, Snowflake, etc.). * Experience with data orchestration and automation tools (e.g., Dagster, Prefect, Airflow, or n8n) to schedule and monitor pipelines. * Strong knowledge of working with and integrating APIs (experience with tools like dlt or Airbyte is a plus). * Proven experience leveraging Agentic coding tools to efficiently plan, architect, and implement solutions. * Experience building clear, actionable dashboards with a focus on modern or open-source BI tools (e.g., Metabase, Preset, Streamlit, Tableau, Power BI). * Experience with data monitoring, quality control, and ensuring pipeline accuracy. * Strong project management skills with the ability to scope work packages and align cross-functional stakeholders. NICE TO HAVE * Familiarity with AdTech and programmatic advertising (DSPs, audience segmentation, taxonomy). * B.S. or M.S. in Computer Science, Engineering, Mathematics, or a related field. 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! SALARY RANGE (ANNUAL ON-TARGET EARNINGS) 50,000 - 65,000 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 Hybrid in Berlin DESIRED START DATE As soon as possible

Talon.One

ABOUT TALON.ONE:   Talon.One is the most powerful incentives engine that unifies loyalty, promotions and gamification into one holistic platform. Backed by enterprise-grade security and scalability, Talon.One empowers companies to build personalized, profitable promotions and loyalty programs using any data. Today, over 250 of the world’s most-loved brands including Adidas, Sephora and Carlsberg work with Talon.One to drive deeper engagement and lasting loyalty with their customers.   ABOUT THE TEAM: We're a passionate team, consisting of a Head of Data, a Data Engineer, an Analytics Engineer and a Senior Data Analyst dedicated to all things data. You'll be at the centre of our expanding Data team. We're enthusiastic about exploring new tools and technologies, and we thrive on brainstorming to solve challenges and apply best practices. Our team is set to grow soon, welcoming Data Engineers, Analytics Engineers, Analysts, and Data Scientists, all playing a pivotal role in Talon.One's development. ABOUT THE ROLE: As a Senior Data Engineer / Data Ops, you will be responsible for all engineering tasks related to the data infrastructure, data ingestion and DWH pipelines. You will own our data ingestion workflows (currently based on a Kafka stream) and will make sure that the data from our PostgresDB instances with a very high amount of data is ingested live into BigQuery. Besides, you will manage our overall data platform infrastructure, recommend improvement and make sure to always follow best practices. Finally, you will also of course be involved in the Data Engineering pipelines, assisting in the modelling of various data sources helping literally all departments within the company making better decisions.   ONCE YOU ARE HERE YOU WILL: * Own the data ingestion streams for all of our client’s DBs, from Postgres to BigQuery * Own the overall data infrastructure: set up, maintain and improve our stack with new technologies for more efficiency and best practices. E.g. improve orchestration * Write DWH pipelines and improve our overall DWH code to apply best practices and bring more efficiency * Be part of a data team composed of various profiles, be at the center of all infrastructure decisions and work closely with other stakeholders from the R&D department, especially the DevOps team   WHAT WE NEED YOU TO BRING TO THE TABLE: * 3 -5  years of experience in the Data Engineering / Data Ops field, ideally working on some big data warehouse projects * You are familiar with the modern data stack and are able to recommend, set up and maintain all different kinds of components from Data ingestion to automation. * You have experience with a wide range of tools and technologies within the modern data stack: Kafka, Airflow, Dagster, DBT Core, BigQuery, Lambda functions etc. * You have experience with general infrastructure / DevOps management technologies: ArgoCD, Kubernetes, Docker, Github, Postgres, GCP etc. * You always thrive for applying data engineering best practices: consistency checks, testing data reliability, monitoring on top of ingestion pipelines, no double business logic in the code   ABOUT TECHNOLOGY:  * Kubernetes running on Google Cloud, ArgoCD, Terraform * PostgreSQL * Aiven Kafka Connect, Strimzi, Debezium * DBT cloud, GCP, BigQuery, Fivetran * We use Go for our API, core logic, and internal tooling * Cypress for automated end-to-end testing * Other odds & ends in JavaScript and shell script   WHAT'S IN IT FOR YOU: * A Research and Development Department of 90+ of engineers, product managers and product designers in Berlin * Leaders with 8+ years of experience building our promotions engine  * €1,000 annual learning budget and free German language courses to boost your skills * 30 days of annual leave, plus extra paid days for your birthday and moving day * Home office setup budget, a monthly home office allowance * Freedom to work from abroad for up to 90 days worldwide! * Mental health support with nilo.health and a discounted Urban Sports Club membership * 20% company subsidy on your pension contributions * Subsidised BVG public transport ticket and a dog-friendly Berlin office where your furry friend is welcome * Lease your ideal bike through BusinessBike

Kraken

Help us use technology to make a big green dent in the universe!   Kraken powers some of the most innovative global developments in energy.   We’re a technology company focused on creating a smart, sustainable energy system. From optimising renewable generation, creating a more intelligent grid and enabling utilities to provide excellent customer experiences, our operating system for energy is transforming the industry around the world in a way that benefits everyone.   It’s a really exciting time in energy. Help us make a real impact on shaping a better, more sustainable future.    Kraken Customer   What we do: build the most AI-driven, innovative, forward-thinking platform for energy management. From optimizing resources to delivering cost-effective, exceptional customer experiences through advanced Customer Information Systems (CIS), billing, meter data management, CRM, and AI-driven communications, Kraken is powering the next wave of innovation in the energy industry.   Why we do it: future energy will not look like energy as we know it today. We need to not just think about our future, but build for it. Now. Who are we looking for? We’re looking for a brilliant senior Data & Analytics Client Delivery Lead to help clients fully leverage Kraken data and transform their data team and capabilities. You should bring extensive experience doing analytics on a strong, modern data team (e.g., data analytics, business intelligence, or related field -- analytics manager, lead data analyst, analytics or data consultant or similar); a love of working with clients; and a passion for driving the clean energy transition – energy sector experience is a plus! The role You’ll work directly with Kraken clients to help them develop modern, transformative data and analytics capabilities as part of their broader Kraken transformation. You’ll train them on Kraken data and support them in building critical reporting & insightful analytics, sometimes getting hands-on with query writing or demo analytics.  You’ll also leverage your experience leading strong analytics teams to advise senior client data leadership on how to build a high-performing, business-centric data organization and leverage data as a strategic asset to unlock ambitious business and clean energy goals. We are a flat and agile organisation and plan to remain this way. We are looking for a hands-on Data & Analytics Client Delivery Lead that can support both directly and indirectly - sometimes jumping in and writing queries or solving data challenges and other times advising or upskilling both clients and colleagues.  You will play a critical role in ensuring the clients’ reporting and analytics transition to Kraken goes smoothly - and ensuring that clients build the transformative data capabilities needed to get full value from Kraken data and power aspirational business goals.