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• Modeling data using M-Code and DAX
• Preparing data after SQL import for further processing in Power BI
• Creating Power BI dashboards for a department
• Analyzing company data to support data-driven decision-making
• Ensuring data quality and integrity
• Developing requirements for new data

implement and productionise ML-based services on our AI- and big-data-platform Databricks, using Python, SQL and Linux....

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every...

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every...

As a digital system provider for Lidl's online business, we at Lidl e-commerce create efficient, scalable digital products and services and develop them further for the future. As a brand of the IT and digital division Schwarz Digits, our divisions are divided into Commerce Platforms, Marketing...

Lead the design, implementation, and configuration of scalable data models based on complex functional and technical requirements, ensuring alignment with enterprise architecture...

• Design, develop, and maintain interfaces with external systems, including APIs, file import/export processes, and web services;
• Support and maintain ERP integrations to ensure reliability, performance, and data integrity;

• Support the design and establishment of a company-wide master data framework: master data governance, organisation, processes, systems & tools
• Work closely with business stakeholders to coordinate and document master data needs & to create suitable end-to-end concepts / data models

• Define and develop tools for large scale data analysis using machine learning and AI for on-going insight, to drive TCO reduction.
• Plan roadmap for cloud resources adoption, based on price/performance, capacity and demand.
• Automatic classification and recommendations for optimal resource allocation.

Grow personally as key player in the global finance team by developing the system landscape, creating data pipelines and BI products and that facilitate automation and delivery of complex recurring and ad-hoc tasks across various functions including global supply chain, sustainability, research...

We are looking to recruit, at the earliest possible date, a full-time and permanent SOFTWARE DEVELOPER (M/F/D) FOR SCIENTIFIC APPLICATIONS WITH A FOCUS ON BIG DATA to strengthen our development team at KWS Saat SE & Co. KGaA in Einbeck, Lower Saxony. The role involves replacing an existing...

• You are responsible for planning, designing and managing the space program's data architecture
• You develop models and structures for storing and accessing large volumes of data
• You integrate data sources (e.g. satellites, ground stations) and implement interfaces

• Foster scalable data and analytics infrastructure to support the development and deployment of GenAI solutions
• Construct and refine (Gen) AI models, prompts, and related analytical components

Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage) Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability...

• Design and implement end‑to‑end AI pipelines for time‑series and event‑driven sensor data (e.g., pressure, temperature, current, voltage, etc.)
• Combine physical models with data‑driven approaches (hybrid / physics‑informed machine learning) to improve robustness and interpretability

• Define and develop tools for large scale data analysis using machine learning and AI for on-going insight, to drive TCO reduction.
• Plan roadmap for cloud resources adoption, based on price/performance, capacity and demand.
• Automatic classification and recommendations for optimal resource allocation.

• Define, design, and guide the implementation of platform solutions that enhance the reliability, security, and scalability of the Database Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for operational data storage solutions.

• Dmytro Yurchenko - Senior Machine Learning Engineer - LinkedIn
• Marina Novikova - Data Scientist - LinkedIn
• Vukasin Vasiljevic - Machine Learning Engineer - LinkedIn
• Marcel Schumacher - Data Product Manager - LinkedIn

Deliver complex data engineering projects individually or by leading small delivery teams Work with Apache Spark/Databricks on AWS/Azure Manage customer relationships alone or with a Project Manager Mentor more junior engineers Evaluate the quality of junior engineers' work Contribute to hiring...