Remote: Yes, and open to work in different time zones

Willing to relocate: No

Technologies: Python, SQL, PostgreSQL, MySQL, Airflow, BigQuery, Docker, Kubernetes, Terraform, GCP, AWS, S3, MLflow, Scikit-learn, XGBoost, Prophet, OR-Tools, Superset, Tableau, Dash, Streamlit, Panel

Résumé/CV: Available on request

Email: data.wrangler.eu@proton.me

Senior data wrangler / “full-stack” data generalist with 10+ years of experience across analytics, data engineering, data platforms, data science, MLOps, applied AI, product, and business-facing data work.

I work best close to the action, going from vague operational problems to working tools. I’m comfortable talking to stakeholders, shaping the data/product solution, building the first version, and making it reliable enough for others to use. I like hands-on work: modeling data, writing code, building pipelines, training models when useful, creating dashboards and web apps, designing infrastructure, deploying tools, and iterating with users. I care about practical data work: making messy inputs understandable, building useful internal tools that improve business operations, avoiding overengineering, and choosing the simplest stack that gets the job done.

Past work includes:

- Leading analytics and optimization projects for operations-heavy businesses.

- Developing Python/SQL data pipelines, data models, data quality checks, Airflow workflows, and reliable reporting/analytics layers.

- Building dashboards, data apps, and client-facing reports with Superset, Tableau, Dash, Streamlit, Panel, and similar tools.

- Training and deploying ML models for forecasting, pricing, segmentation, churn, classification, entity extraction, and related use cases.

- Building AI/LLM prototypes for workflow automation and decision support.

- Running cloud data platforms with Kubernetes, Terraform, GCP, and AWS.

Looking for a small or scaling team that needs a senior hands-on data generalist: someone willing to work close to users, understand the business, build the data systems, and help turn rough ideas into useful tools.