Snowflake Data Engineer (Qatar location)
Poland - Warsaw
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingYou will collaborate with client and project teams to deliver the agreed data engineering scope and project outcomes.
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.
From the employer’s posting
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
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.
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.
Tools in this posting
- Python
- SQL
- AWS
- Azure
- dbt
- Iceberg
- Kafka
- Snowflake
- Airflow
- Google Cloud (GCP)
Source — Tool mentions in context
- 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
- 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.
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.
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.
- 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.
Bonus Points For - Relevant Snowflake certifications or other cloud platform certifications. - Exposure to financial services, banking, capital markets or insurance.
Job description
CAPCO POLAND
*We are looking for candidates willing to relocate to the Middle East - Qatar for the duration of the project.
• 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
#LI-HYBRID
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Poland - Warsaw
- Feedback/Offer #LI-HYBRID
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Oct 12, 2026
- Recorded sightings
- 13
- Last seen by us
- Oct 14, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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