Data Engineer (Senior Associate), Consulting

About the role

We are seeking a Data Engineer to design, build, and optimize scalable data solutions that support business and operational objectives. The role combines advanced data engineering expertise with strong business analysis capabilities to translate business requirements into effective technical solutions.

Key responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes across cloud data platforms.
• Engage business stakeholders to gather requirements, document processes, and translate business needs into technical data solutions.
• Develop and optimize data models, transformations, and workflows using Python and SQL.
• Collaborate with analytics and reporting teams to ensure data is structured and accessible for downstream consumption.
• Monitor, troubleshoot, and improve the performance, reliability, and scalability of data pipelines and storage solutions.
• Contribute to technical best practices, standards, and continuous improvement initiatives.

Required profile

• Bachelor’s Degree in a relevant discipline.
• Demonstrated experience in data engineering, including designing and implementing data pipelines and integration solutions.
• Proven experience in business analysis, including requirements gathering, stakeholder engagement, and process documentation.
• Strong technical expertise in Azure Synapse Analytics and Azure Data Factory (ADF).
• Proficiency in Python and SQL.
• Strong written and verbal communication skills for engaging with technical and non‑technical stakeholders.
• Ability to manage multiple priorities in a collaborative project environment.

Required skills

• Azure Synapse Analytics
• Azure Data Factory
• Python
• SQL
• Databricks
• Snowflake
• Power BI

What we offer

• Competitive remuneration package.
• Continuous learning and development opportunities.
• Flexibility to define your own success.
• Transformative leadership and coaching.
• Diverse and inclusive culture that embraces individuality.