Senior Analytics Engineer

Experis ManpowerGroup Sp. z o.o.; Wrocław; Remote; PLN 120,000 - 180,000; Full time

Job summary

A leading recruitment firm in Poland is seeking a Data Engineer to design and maintain robust ETL/ELT pipelines. The ideal candidate has over 5 years of experience, expert-level SQL skills, and a strong understanding of data warehousing concepts. Work is remote, and benefits include a B2B contract and access to health and fitness programs.

Benefits

B2B contract via Experis

Remote work

Medicover

Multisport

E-learning platform

Group insurance

Qualifications

• 5+ years of experience as a Data Engineer working with cloud-based ELT pipelines.
• Deep understanding of data warehousing concepts including dimensional modeling.
• Experience with Snowflake and cloud data architecture.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines in DBT Cloud.
• Contribute to the migration of legacy environments into a unified CDP instance.
• Implement data quality validation frameworks.

Skills

Expert-level SQL

DBT modeling skills

Data warehousing concepts

Cloud-based ELT pipelines

Strong communication skills

Proactive attitude

Tools

Snowflake

DBT Cloud

AWS S3

GitHub

Azure DevOps

Job description

Key Responsibilities

• Design, build, and maintain robust ETL/ELT pipelines in DBT Cloud, ingesting data from sources like OCE IQVIA, Adobe Analy cs, Qualtrics, Salesforce

• CIAM, and others

• Contribute to the migra on of legacy Snowflake and Qlik environments into the unified EUCAN CDP instance
• Implement data quality valida on frameworks (e.g., DBT tests, freshness checks, anomaly detection)
• Support and improve our RUN Management process: monitoring, reruns, root‐cause analysis and preventive actions
• Maintain and document model ownership, schema logic and transformations within our CDW_CORE > CDW_STAGE > CDW_PROD architecture
• Collaborate closely with Product Owner, Data Architect, and affiliate stakeholders to ensure delivery of trusted, scalable and governed data products
• Mentor junior engineers and act as a point of escalation for complex data issues

Tech Stack & Environment

• DBT Cloud (core ELT engine)
• Snowflake (Data Warehouse)
• AWS S3 (Data Lake, ingestion zone)
• GitHub, Azure DevOps
• Data sources: IQVIA OCE, Salesforce Marke ng Cloud, Adobe AEM/Analy cs, Shopify, Qualtrics, Accu cs, Facebook/LinkedIn/Instagram

Must‐Have Qualifications

• 5+ years of experience as a Data Engineer working with cloud‐based ELT pipelines
• Expert‐level SQL and DBT modeling skills
• Deep understanding of data warehousing concepts (dimensional modeling, incremental loading, performance optimization)
• Experience with Snowflake and cloud data architecture
• Strong communication and documentation skills – must work well in distributed teams
• Proactive attitude: ownership over data quality, incident handling and delivery discipline

We offer

• B2B contract via Experis
• Remote work
• Medicover
• Multisport
• E-learning platform
• Group insurance