Senior Analytics Engineer (DBT Cloud, Snowflake)

Data

-, Warszawa+4 Locations

Upvanta sp. z o.o.

1 200 - 1 500PLN

Net per day - B2B

Full-time

B2B

Senior

Remote

Tech stack

SQL

master

DBT

master

Snowflake

advanced

Job description

We are looking for a highly skilled Senior Analytics Engineer to join our data team and drive the design, development, and governance of enterprise-grade data pipelines. In this role, you will work with cutting-edge cloud technologies, collaborate with international stakeholders, and ensure that high-quality, trusted data is available for strategic decision-making across the organization.

Key Responsibilities

• Design, build, and maintain efficient ETL/ELT pipelines in DBT Cloud, ingesting data from sources such as IQVIA OCE, Adobe Analytics, Qualtrics, Salesforce CIAM, and others.

• Contribute to the migration of legacy Snowflake and Qlik environments into the unified EUCAN CDP platform.

• Implement robust data quality validation frameworks (including DBT tests, freshness checks, anomaly detection).

• Support and enhance the RUN Management process: monitoring, job reruns, root cause analysis (RCA), and preventive action implementation.

• Maintain and document model ownership, schema logic, and transformation processes within the CDW_CORE → CDW_STAGE → CDW_PROD architecture.

• Collaborate closely with the Product Owner, Data Architect, and affiliate stakeholders to deliver trusted, scalable, and well-governed data products.

• Mentor junior data engineers and serve as a point of escalation for complex data-related issues.

Tech Stack & Environment

• DBT Cloud – core ELT engine

• Snowflake – data warehouse

• AWS S3 – data lake / ingestion zone

• GitHub, Azure DevOps – version control & CI/CD

• Data sources: IQVIA OCE, Salesforce Marketing Cloud, Adobe AEM/Analytics, Shopify, Qualtrics, Accutics, Facebook, LinkedIn, Instagram

Must-Have Qualifications

• 5+ years of experience as a Data Engineer (or similar role) working with cloud-based ELT pipelines.

• Expert-level SQL and DBT data modeling skills.

• Deep understanding of data warehousing concepts: dimensional modeling, incremental loading, performance optimization.

• Hands-on experience with Snowflake and modern cloud data architectures.

• Strong communication and documentation skills – proven ability to work effectively in distributed teams.

• Proactive mindset with ownership over data quality, incident resolution, and disciplined delivery.

This role offers the opportunity to shape enterprise-scale data solutions, work with cutting-edge cloud technologies, and collaborate with a highly skilled, international team. If you are passionate about building trusted, high-quality data products that power strategic decisions, we’d love to hear from you.

Published: 13.08.2025

Office location