Data Engineer

We’re looking for a Data Engineer to join our Data Engineering team. We build the data platform that powers decision-making across the entire company — from product insights to customer analytics. If you enjoy building scalable pipelines, working with PySpark, AWS, and Databricks, and want to grow your expertise in a collaborative team, we’d love to hear from you. What You’ll Actually Do Here: You’ll be part of a team that builds and operates the data platform behind many of the company’s key functions, supporting a variety of teams with diverse use cases, from analytics to internal tools and customer-facing features. To support that range effectively, we focus on standardization, industry-standard tooling, and best practices that make our solutions scalable, reliable, and easy to maintain. Here’s what you’ll spend most of your time on: Build and maintain reliable data pipelines (batch and streaming) using PySpark, SQL, and AWS Help develop and scale our company-wide Data Lake on AWS and Databricks (operating at petabyte scale) Work with data from diverse sources: APIs, file systems, databases, event streams Contribute to internal tooling (e.g., schema registries) to improve workflows Write clean, tested code and participate in code reviews Collaborate closely with other engineers, analysts, and product teams to deliver data solutions Learn and experiment with new tools and best practices in modern data engineering What You'll Bring to Us Must-Have Skills Python – clean code, testing, and ability to read existing codebases Apache Spark – development and basic performance tuning SQL – good understanding and hands-on experience Git – solid version control habits Strong English – comfortable working and communicating in an international team Distributed systems mindset – solid understanding of fault tolerance, data partitioning, shuffling, and parallel processing Nice-to-Have Skills Delta Lake, Databricks Apache Airflow or similar orchestration tools Amazon S3, AWS experience overall Streaming & messaging technologies – Kafka, Kinesis, RabbitMQ Python libraries for RESTful APIs Data modeling PostgreSQL, ElasticSearch Familiarity with JVM languages (e.g., Java, Scala) Beyond the TechBesides strong technical skills and clear communication, we value the ability to explain technical concepts clearly and contribute your own ideas. We also appreciate a broad understanding of the modern data landscape and awareness of industry best practices. Tech Stack Snapshot Languages & Tools: Python with PySpark, SQL, Git Data & Storage: AWS S3, Databricks, Delta Lake, PostgreSQL, ElasticSearch Streaming: Kafka, Kinesis, RabbitMQ Workflow & Orchestration: Apache Airflow Infrastructure: AWS (core services), Docker What We Offer International, fast-paced, and rapidly growing environment Multisport card Unlimited Personal Time Off, Sick days & Community days Maternity and Parental Benefit Flexible environment with the possibility of home office working  Chance to work with the world’s biggest brands at the CX tech leader Agile and open-minded culture, with high levels of trust and flexibility  Opportunity for professional growth and development  Possibility to learn new and cutting-edge technologies, in an environment that encourages new ideas Work in an international environment in our new modern offices in Karlín, with our big terrace and our own grill  There’s more as well! Speak with us to find out all the details! At Emplifi, we build tools that help brands better understand and serve their customers. Our Data Engineering team makes that possible by ensuring clean, reliable, and timely data for all teams across the company. We value collaboration, technical quality, and continuous learning, and we’re excited to meet people who share those values.   At Emplifi, we are committed to creating a workplace where everyone is valued, respected, and empowered to bring their whole selves to work. We welcome applications from individuals of all ages, races, religions, genders, sexual orientations, gender identities, and LGBTQ+ communities.  Emplifi offers a safe, inclusive, and supportive environment where every employee has the opportunity to thrive and is encouraged to be who they are.