Data, AI and Analytics
Industry, Machinery & Plant Engineering
Freelance · ExpertRemote
Senior Pricing & Data Expert, Retail (m/f/d)
Key facts
- Start
- 06/2026
- Duration
- 6 months
- Work mode
- Remote
- Location
- Stuttgart
- Workload
- 100 %
- Contract type
- Freelance · Expert
Project description
We are seeking a Senior Data Engineer / Analytics Engineer with a strong business focus to support the Pricing and Category Management functional areas at a large retail company (omnichannel, data-driven pricing and product assortment management).
Responsibilities
- End-to-end implementation of pricing and category management use cases: from requirements gathering to a production-ready dashboard
- Design, optimization, and operation of high-performance SQL/Python-based ETL processes for processing large volumes of data (including competitor data)
- Analysis of existing KNIME workflows and step-by-step migration to Databricks, including stabilization and documentation
- Maintenance and further development of a Bronze/Silver/Gold data model (creating new Gold tables, replacing/archiving legacy tables)
- Establishment of automated data quality checks (plausibility checks, outlier detection, rulesets) and definition of error-handling measures
- Development and optimization of Power BI dashboards (new & existing), including KPI definition, data model design, and performance tuning
- Improvement of DAX performance and reduction of load times through pre-aggregation and optimal data provision
- Providing reliable analyses of price, margin, and competitive trends; category performance; inventory levels; and product performance
- Close collaboration with functional areas: challenging requirements, evaluating technical feasibility, and striking pragmatic compromises between business needs and performance
Requirements
Must-have
These criteria are required for the project.
- Must-have: 5+ years of experience in data engineering / analytics engineering with proven end-to-end responsibility
- Must-have: very strong SQL skills (modeling, performance optimization, complex transformations)
- Must-have: Very good Power BI skills (data modeling, KPI logic, DAX, performance optimization)
- Must-have: Python for data wrangling, statistical analysis, clustering/similarity approaches, and outlier detection (without a research focus)
- Must-have: Experience with data quality management (automated checks, monitoring, handling erroneous outliers in source systems)
- Must-have: Strong stakeholder and requirements management (e.g., Jira), consulting and communication skills
- Desirable: Experience with Databricks and/or cloud data platforms, as well as Lakehouse/Medallion approaches
- Desirable: Migration projects from low-code/no-code tools (e.g., KNIME) to scalable platforms
- Desirable: Domain knowledge in retail, particularly pricing, competitor data, and product/category data models
- Not a focus: Deep learning, data science research, AI model development, or forecasting (covered by existing systems)
Skills
- SQL
- Power BI
- Python
- Data Engineering
- Pricing
- Datenqualität
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