5 data analytics jobs found in Berlin

At Seven Senders, we connect people and markets, making international shipping simple. We are Europe's leading platform for cross-border parcel delivery, supporting e-commerce companies in scaling internationally and reaching millions of consumers across borders. By combining cutting-edge technology with strong local carrier networks, we ensure parcels move efficiently from warehouse to doorstep — whether speed or cost efficiency is the priority. Founded in Berlin in 2015, Seven Senders has grown into a team of 200+ logistics and tech experts. Today, we proudly work with clients such as Flaconi, Shop Apotheke, and Tamaris, shaping the future of European delivery together. Job Description Seven Senders is growing, and so is the regulatory and contractual complexity that comes with running a cross-border logistics platform. We're looking for a senior generalist to own legal, compliance, data protection, and AI governance topics for the business; and to build a...

Smarketer Group, Business Intelligence Berlin Full-time Professional, Senior September 9, 2026 Do you want to develop modern data solutions and actively shape the future of data engineering with autonomous AI agents? Then you've come to the right place. Your mission As a Full Stack Data Scientist Expert, you develop and optimize scalable data pipelines, data platforms and agentic workflows along the entire data engineering lifecycle. Your goal: To create reliable, secure and reusable data solutions that drive our automation and enable data-driven decisions. Your daily business: Identification of suitable data engineering tasks for autonomous agents, as well as definition of clear requirements, guardrails, and quality criteria. Development of agent-based workflows for pipeline creation, testing, monitoring, documentation, and data quality checks. Design, implementation and optimization of scalable ETL and ELT pipelines as well as...

BERLIN, MUNICH Tasks Together with experienced colleagues, you will develop the architecture and implementation of modern AI and data-driven platforms in the cloud – with the goal of providing scalable solutions for machine learning and GenAI applications. Automate infrastructure deployment with tools like Terraform or Ansible and create the foundation for the reliable operation of AI workloads, training pipelines, and inference-related systems . Dive into the development and optimization of CI/CD and MLOps pipelines to efficiently train, version, and deploy production-ready models. Support in monitoring the performance of AI systems and distributed data platforms , detecting anomalies early using intelligent monitoring approaches, and initiating automated countermeasures. Actively contribute to the team, exchange ideas and shape the further development of our platforms – especially through prototyping AI applications, experimenting with...

Welcome! Super excited you dropped by Let's redefine cyber security expertise standards and connect business - community through highly engaging hacking experiences. (Find out more insights about Hack The Box culture in our career site). ✨The core mission of the Senior Data Engineer: You will own and evolve our data pipelines on GCP — building new ones, hardening existing ones, improving data quality, and making clean, trustworthy data available across the organization. You'll work end-to-end on streaming and batch pipelines, from CDC and event ingestion through transformation, serving, and the feature layer that powers our ML and AI products. Your day-to-day will include designing ELT/ETL processes on BigQuery and ClickHouse, building real-time pipelines on Pub/Sub and Kafka with Dataflow (and where it fits, Flink/Spark), orchestrating workflows with Airflow, and ensuring data is properly cleaned, modeled, and served for analytics, ML training, and online inference....

BERLIN, MUNICH Tasks As a Consultant Data Engineer (m/f/d), you will actively shape the data-driven future of our clients. You will develop modern data solutions and innovative data products, as well as AI-ready data platforms that help companies make informed and sustainable decisions. Your responsibilities will include, but are not limited to, the following: Support in the design and implementation of robust and scalable data products, data architectures and AI-ready data platforms. You will develop and optimize data pipelines for the integration and transformation of diverse data sources – using modern technologies such as SQL, Python, dbt, Snowflake, Databricks and leading cloud platforms (AWS, Azure, Google Cloud). You will work closely with our customers, analyze professional and technical requirements and translate these into tailor-made data engineering solutions with real added value. Providing and structuring high-quality data for...