Data Engineer

The role

Responsibilities

• Project ownership: independently drive projects, taking full ownership of tasks and choosing the best solutions.
• Collaboration: work closely with the Marketing and Delivery teams so client projects are delivered on time and to a high standard.
• Data analysis: transform complex data into clear, actionable insights and reports.
• Model development: develop advanced models and visualizations to optimize marketing strategies.
• Algorithm implementation: classification, clustering, filtering, time-series analysis, regression, and statistical inference.
• Data transformation: apply data transformation techniques and algorithms to support our marketing platform.
• Integration: work with software engineers to integrate new data features into our platform.

Qualifications

• Strong background in data engineering, data science, statistics, or a related field.
• Proven track record building data products with statistical inference and machine learning approaches.
• Proficiency in Python, R, SQL, or similar, including data extraction and processing with SQL.
• Strong problem-solving skills and the ability to work in a cross-functional team.
• Excellent communication and documentation skills.
• Ability to handle large datasets and complex data manipulations.

What we offer

• Investment in your growth, with clear career paths and internal mobility.
• An open-minded, supportive and collaborative environment.
• A competitive compensation package and incentives.
• A diverse team from various backgrounds.