Data Engineer: Automate Pipelines & Insightful Dashboards

Vakmedianet; Zeist; On-site; EUR 55,000 - 75,000; Full time

Job summary

Bike Europe, the leading international B2B media platform for the bicycle industry, is looking for a Data Analyst/Engineer to help build the data infrastructure that researchers, analysts and editors rely on.

You will collect, process and analyze data from diverse sources, automate ETL processes, and develop dashboards using Python/SQL and tools like Tableau, DisplayR or Alteryx. You will also ensure data quality and think about user-friendly, visually appealing outputs.

Qualifications

• Completed university degree, preferably technical.
• Experience with Python and/or SQL.
• Affinity with data engineering and automation.
• Experience with ETL processes, web scraping or custom tooling is a plus.
• Curious about what data tells us about a market.
• Eye for UX and making outputs intuitive, user-friendly and visually appealing.
• Willing to develop knowledge of telecom, cycling and related markets.
• Good command of English and/or Dutch, both written and spoken.

Responsibilities

• Collect, process and analyze data from different sources.
• Build and improve ETL processes and data flows.
• Automate recurring data and research processes.
• Work with Python and/or SQL.
• Develop web scraping solutions and custom tooling.
• Build and improve dashboards and data visualizations.
• Explore and work with tools such as Tableau, DisplayR and Alteryx.
• Use AI/ML and APIs for data and content enrichment.
• Ensure data is reliable and of high quality.
• Collaborate with researchers, analysts and editors.

Skills

Python

SQL

Data engineering

ETL processes

Web scraping

Data visualization

Education

University degree in a technical field

Tools

Tableau

DisplayR

Alteryx

Job description

Bike Europe, the leading international B2B media platform for the bicycle industry, is looking for a Data Analyst/Engineer to help build the data infrastructure that researchers, analysts and editors rely on.

You will collect, process and analyze data from diverse sources, automate ETL processes, and develop dashboards using Python/SQL and tools like Tableau, DisplayR or Alteryx. You will also ensure data quality and think about user-friendly, visually appealing outputs.