Snowflake Data Engineer (Qatar location)
At a glance
Mid-level Data Engineering role at Capco. Warsaw.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and tune Snowflake pipelines and cloud data platforms for analytics, regulatory reporting and business decisions
- Connect enterprise data sources through ELT or ETL workflows, maintaining data quality, security and governance
- Turn business needs into technical designs with client stakeholders, architects and delivery teams
- Improve Snowflake performance, spending efficiency and data models while supporting technical delivery and team mentoring
What you bring
- At least five years of hands-on Snowflake work, including delivery of enterprise data engineering solutions
- Experience with SQL, Python and a major cloud platform such as AWS, Azure or Google Cloud
- A record of creating complete ingestion and transformation pipelines, plus knowledge of warehousing, modeling and data governance
Who this fits
This suits a mid-level data engineer comfortable combining technical delivery with client-facing consulting and technical leadership. The project is expected to last one year and requires relocating to Qatar for its duration.
From the employer
CAPCO POLAND
*We are looking for candidates willing to relocate to the Middle East - Qatar for the duration of the project.
At Capco Poland, we’re not just another consultancy - we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we thrive on helping clients tackle the toughest challenges across banking, payments, capital markets, wealth, and asset management. Our secret? A culture that’s fast, flexible, and fiercely entrepreneurial. We move quickly, think creatively, and always put our people first. We’re passionate about growth - both for our clients and ourselves - and that means attracting the very best talent to join us on this exciting journey. We’re proud to be:• Trailblazers in banking, payments, capital markets, wealth, and asset management
• Champions of an agile, nimble, and innovative work environment
• Dedicated to building a team of top-notch professionals who share our drive and vision
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
We are looking for a Senior Consultant Data Engineer with strong Snowflake expertise to join our growing Data & Analytics practice.
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.
The engagement is expected to run for one year and requires relocation to the Middle East for its duration. You will collaborate with client and project teams to deliver the agreed data engineering scope and project outcomes.
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.
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.
- 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
- 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
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.
ONLINE RECRUITMENT PROCESS STEPS
- Screening call with the Recruiter
- Hiring Manager Technical Interview
- Client Interview
- Feedback/Offer
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