Remote in our day-to-day work. On-site when it matters. We work remote by default – focused, efficient, and with full ownership. For larger features, architectural decisions, and real brainstorming sessions, we come together in Berlin or Cologne – fast, hands-on, and without unnecessary meeting overhead. We use AI to accelerate – not to replace thinking. We design the system, steer the output, and take responsibility for what we ship. Fast where it makes sense. Careful where it matters. Your mission Join our Data Engineering team and process, transform, and refine terabytes of TV and advertising data every day. - Design and build scalable data pipelines for our TV and forecasting products - Keep pipelines fast, clean, and reliable – from ETL to testing and deployment - Automate wherever possible – from unit tests to CI/CD processes - Collaborate closely with other engineers to solve complex data challenges and continuously improve our platform - Explore new tools and frameworks – stay curious and keep experimenting Your skills Work with large-scale data and don’t get intimidated by terabytes – you turn raw data into meaningful insights. - Bring 1–3 years of hands-on experience in Data Engineering - Use Python and SQL confidently in your daily work - Have experience with Spark or Hadoop, as well as testing and CI/CD pipelines - Operate with a “let’s figure it out” mindset rather than “that’s not my job” - Take ownership, work independently, and focus on pragmatic solutions Bonus Points: - Experience with Docker, Kubernetes, Grafana, or AWS - Interest in TV data, AdTech, or real-time analytics Why you’ll love working with us - Ownership over tickets: You’re trusted with real responsibility, not just tasks. No unnecessary bureaucracy, no micromanagement – we rely on you to take things forward. - Build > Talk: We test what works – not what sounds good. Fail fast, learn faster. - High standards, low ego: We take our work seriously, but not ourselves. Direct feedback, honest collaboration, no drama. - Stay sharp: Hackathons, conferences, community – we invest in your growth and keep you at the cutting edge. - Remote flexibility. In person, when it matters.: You work flexibly remote, with a connection to our Berlin or Cologne locations, where our TV Labs are and we experiment, build, and learn together. - And yes – the fundamentals are covered too: 30 days of vacation + Dec 24 & 31 off, Smart Fridays (4 days week possible), mobility (Germany ticket & JobRad), sports & health offerings, mental health support, corporate benefits, RTL+ access, and more. Your CV is just the starting point. What matters more to us than your resume: a portfolio, a side project, a demo repo – anything that shows you don’t just talk about code, you ship it. Production-ready. Thought through. Done. smartclip is committed to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, ethnicity, nationality, age, gender, gender identity, religion, sexual orientation, disability, or any other diverse characteristics.

• Own and maintain data pipelines for our energy operations from smart meter installation to the connection to the energy market • Create and maintain reports in Looker to get insights on everything related to smart meters, energy delivery and optimization, as well as billing our customers for the Dynamic Pulse service • Assist the team in maintaining the integrity and availability of our core operational data sets • Contribute to our codebase (primarily in Python) to automate routine operational analysis and improve data quality

• Architect Robust Pipelines: Design, build, and optimize scalable data pipelines using Airflow, Python, dbt, and Snowflake. You will replace brittle manual processes with resilient, automated workflows. • Build Infrastructure as Code: Manage and evolve our cloud infrastructure (AWS/GCP) using Terraform, ensuring our platform is reproducible, secure, and scalable. • Elevate Code Quality: Write clean, production-grade code for complex data processing. You will champion engineering best practices, including code reviews, testing, and CI/CD. • Optimize Data Models: Collaborate with analysts to design performant SQL transformations and data models in Snowflake (experience with dbt is a huge plus). • Ensure Data Reliability: Implement observability and monitoring to catch issues before they impact stakeholders. You are the first line of defense for data quality. • Partner Cross-Functionally: Work closely with Data Analysts and Product Managers to understand their data needs and deliver high-quality data products that empower decision-making.

• Design and implement complex data models, modeling metadata, building reports and dashboards and creating reporting tools for data science and ML products users. • Design and deploy data infrastructure needed to drive data-driven decision-making solutions • Be the company’s expert on data administration and master data management • Be a technical thought leader on the development of scalable data systems • Develop front end applications to expose analytical data sets enterprise wide • Write highly tuned, scalable SQL queries running over large-scale, heterogeneous data warehouses • Work with the Product and Enterprise Engineering system teams to structure source systems for reporting consumption across the enterprise • Help maintain the CDC pipeline to power customer reporting