Data Engineer Snowflake

Shape the future of data platforms by delivering modern, cloud-native engineering solutions that enable leading financial institutions to unlock the full value of their data. The Role Capco is a global technology and business consultancy, focused on the financial services and energy sectors. We combine innovative thinking with deep industry expertise to help our clients solve complex business and technology challenges. We are looking for a Senior Consultant Data Engineer with strong Snowflake expertise to join our growing Data & Analytics practice in Doha. You will work closely with clients to design, build and optimise modern cloud-based data platforms, enabling advanced analytics, regulatory reporting and data-driven decision-making. As a Senior Consultant, you will combine technical delivery with client engagement, helping organisations modernise their data landscape while mentoring junior colleagues and contributing to Capco's collaborative consulting culture. What You'll Do Design, develop and optimise scalable data pipelines and cloud-native data platforms using Snowflake and modern data engineering technologies. Build robust ELT/ETL solutions, integrating data from multiple enterprise sources while ensuring quality, security and governance. Collaborate with business stakeholders, architects and cross-functional delivery teams to translate business requirements into technical solutions. Optimise Snowflake performance, cost management and data modelling to deliver efficient, high-performing data platforms. Support client engagements through technical leadership, solution design, mentoring team members and contributing to successful project delivery.

Desired Candidate Profile

What We're Looking For Proven experience delivering enterprise-scale data engineering solutions with strong hands-on expertise in Snowflake. Minimum of 5 years Snowflake experience. Experience with SQL, Python and modern cloud platforms such as AWS, Azure or Google Cloud. Strong understanding of data warehousing, dimensional modelling, data integration and data governance principles. Excellent stakeholder management, communication and consulting skills with the ability to influence technical and business audiences. Experience working within Agile delivery environments and leading technical workstreams Proven track record building end-to-end ELT/ETL ingestion and transformation pipelines Strong understanding of data warehousing, dimensional modeling, Iceberg open-table storage formats, data integration, and data governance principles. Experience configuring and deploying advanced Snowflake features and frameworks, including Snowpark, Dynamic Tables, Streams & Tasks, Snowpipe / Streaming ingestion, dbt Projects, and open table formats (e.g., Apache Iceberg) Experience with dbt, Apache Airflow, Kafka or other modern data engineering tools. Bonus Points For Relevant Snowflake certifications or other cloud platform certifications. Exposure to financial services, banking, capital markets or insurance. Experience with DevOps, CI/CD pipelines and Infrastructure as Code. Previous consulting experience delivering complex client engagements.