Data & Analytics Engineer

• Investigate and assess data quality across datasets, ensuring completeness, accuracy, and consistency.

• Analyze raw data to surface meaningful insights and identify emerging business opportunities.

• Design, build, and maintain efficient and reliable ETL pipelines to ingest and transform data from diverse sources.

• Develop optimized calculation and transformation layers to support business logic and analytical requirements.

• Create interactive dashboards and reports that effectively visualize data and communicate insights to stakeholders.

• Collaborate closely with business analysts, data scientists, and IT teams to align technical solutions with business goals.

Requirements

Education:

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.

Experience:

• 2–3 years of experience in data engineering, business intelligence, or a closely related role.

• Demonstrated experience leading or contributing to data-focused teams or projects.

Technical Skills:

• Expertise in data warehousing, ETL/ELT processes, and end-to-end data pipeline development

• Strong understanding of database technologies, data lakes, and data governance frameworks.

• Hands-on experience with cloud platforms, with a preference for Microsoft Azure.

• Proficiency with Databricks/Fabric/Snowflake, and modern data tooling.

• Strong command of SQL, Python, and data integration technologies.

Soft Skills:

• Excellent analytical and problem-solving skills with a strategic, business-oriented mindset.

• Strong communication and interpersonal skills, with the ability to present technical concepts to non-technical audiences

• Demonstrated ability to manage multiple projects and competing priorities simultaneously.

• Excellent command of English, both written and spoken.