Data Engineers/Scientist

This role is ideal for someone who sits between Data Engineering and Analytics someone with a solid understanding of data engineering principles, but who is equally comfortable exploring datasets, investigating data quality, performing analysis and translating business questions into meaningful data outputs.

What You'll Be Doing

• Perform exploratory data analysis (EDA) and validate datasets.
• Use Python extensively for data analysis, investigation and problem-solving.
• Work with real-world and imperfect datasets to identify patterns, issues and insights.
• Support analytics, reporting and insight-driven initiatives.
• Translate client and business questions into clear data outputs and findings.
• Apply data engineering best practices to ensure data is reliable and fit for analytical use.
• Investigate data and communicate findings clearly to both technical and business stakeholders.
• Engage with stakeholders to understand analytical requirements and provide data-driven solutions.

What We're Looking For

• 2+ years' experience in a Data Engineering, Analytics Engineering or similar data-focused role.
• A solid foundation in data engineering concepts.
• Strong hands-on experience working with data for analysis and insight generation.
• Strong Python skills, particularly pandas and NumPy.
• Experience performing data exploration, investigation and validation.
• Comfortable working with complex, imperfect or inconsistent datasets.
• Strong problem-solving abilities and an analytical mindset.
• The ability to interpret data within a business and client context.
• Strong communication skills, with the ability to explain data findings clearly.

Apply now!