Senior Data Engineer

📋 Description

• Work with internal disciplines, vendors, clients and stakeholders to define data requirements and
• Audit source systems (CRM and marketing platforms such as Salesforce and Sailthru) and define
• Translate business requirements into technical specifications including data streams, integrations
• Design and build transformation layers in dbt on Snowflake, including identity resolution, semantic
• Build and maintain pipelines that activate data in customer engagement platforms (e.g., Braze).
• Run discovery audits of digital products (apps, games, web) and produce data foundation

🎯 Requirements

• A Bachelor's degree in Computer Science, Information Systems, or a related field.
• At least 5 years of experience in data engineering or related fields.
• Expert-level SQL and strong experience in ELT/ETL and cloud data warehousing, with hands-on
• Strong hands-on experience with dbt (modelling, tests, documentation, macros) and git-based
• Proven experience in data modelling (dimensional and semantic layers) and analysis techniques.
• Experience with customer data modelling and identity resolution across CRM, marketing and product

🎁 Benefits

• Agentic Delivery: modern ways of working, broaden skills on engagements with international brands.
• An inclusive and safe environment: commitment to a culture where everyone is celebrated and feels
• AI & Strategic Upskilling: generous training budgets and mentorship, with focus on Agentic AI
• Generous vacation policy: ample time away to promote work-life balance.
• Flexible work arrangements: remote, in-office, or a blend of both.