Data Engineer Snowflake - Qatar
Capco is hiring a Data Engineer Snowflake - Qatar in Doha, Qatar. Level rates it ; you can apply on Capco.
Level's read on this job
- Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
- Level classes it as a senior role.
- Capco has 702 other open roles on Level.
AI in this role
Please note we are looking to speak to individuals already based in the Doha as a first priority.
Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent.
Data Engineer (Snowflake)
Location: Doha | Practice Area: Data & Analytics | Type: Permanent
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.
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.
Why Join Capco
- Deliver high-impact transformation programmes for leading financial services and enterprise clients.
- Work in a collaborative, entrepreneurial consulting culture where your ideas are valued.
- Access continuous learning, professional certifications, and career development opportunities.
- Collaborate with experienced consultants and technology specialists on complex business challenges.
- Help shape the future of digital transformation through innovative, client-focused solutions.
Benefits
- Hybrid Work Model for flexibility and balance.
- Access to a Global Integrated Learning Platform with world-class learning content and industry experts.
- Engage with Global Communities of Capability and Purpose to build your expertise and make a meaningful impact.
- Competitive base salary and benefits.
Inclusion at Capco
We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know—we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration—a mindset that shapes how we work with clients and each other every day
How we rate this
Data Engineer Snowflake - Qatar at Capco rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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Pay
- Typical data engineer job
- $149k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
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