Senior Data Engineer (Tebleau, Snowflake, dbt)

Technologies we use

Expected

• dbt
• Snowflake Data Cloud
• SQL
• Tableau
• Python
• GitHub Actions

Optional

• dbt
• Snowflake Data Cloud
• Tableau
• Python
• GitHub Actions
• Adobe Photoshop

About the project

The project centers on the development and expansion of a centralized, scalable data platform that supports strategic reporting and analytics across the business.

The project involves the development and expansion of a centralized, scalable data ecosystem to integrate multiple high-value financial and operational data streams and provide a unified, reliable reporting layer for C-level executives and advisors.

This is how we organize our work

Team size

1-10

This is how we work

• you develop several projects simultaneously
• you have influence on the technological solutions applied
• you focus on product development

Team members

• backend developer
• technical leader
• data scientist
• product owner
• project manager
• IT administrator

Your responsibilities

• Design, develop, and maintain dbt Core projects, including staging, intermediate, and mart layers
• Build incremental models, snapshots, macros, reusable Jinja components, and testing frameworks
• Ensure data quality through testing, documentation, lineage management, and version controlled development practices
• Design dimensional data models and reporting structures for portfolio, client, and financial analytics
• Develop and maintain data ingestion pipelines into Snowflake, including API based integrations
• Orchestrate and monitor data workflows using Prefect
• Integrate and standardize data from third party platforms such as Addepar, NetSuite, Salesforce, Morningstar, and UKG through Workato
• Create and maintain Tableau dashboards, published data sources, and reporting assets
• Optimize Snowflake performance and cost efficiency through query tuning, warehouse management, and data architecture improvements
• Collaborate with business stakeholders to translate reporting and analytics requirements into scalable data solutions

Our requirements

• 5+ years of experience in Data Engineering or Analytics Engineering
• Hands on experience with dbt Core in production environments
• Experience designing data models, incremental strategies, snapshots, macros, Jinja templates, tests, and documentation in dbt
• Strong experience with Snowflake, including performance optimization and cost management
• Advanced SQL skills
• Strong understanding of dimensional modeling and star schema design
• Hands on experience building Tableau dashboards and data sources
• Experience with calculated fields, Level of Detail expressions, extracts, live connections, and dashboard performance optimization
• Experience with ETL and ELT architectures and API based data ingestion
• Experience with workflow orchestration tools such as Prefect or Apache Airflow
• Understanding of financial services, wealth management, investment management, or portfolio data structures

Optional

• dbt Analytics Engineering Certification
• Experience within wealth management or investment management environments
• Experience with Workato or comparable integration platforms
• Experience working with Addepar, Morningstar, or Bloomberg data
• Python development experience for data engineering workflows
• Experience implementing CI/CD practices for dbt projects using GitHub Actions or similar tools
• Knowledge of regulatory and privacy requirements related to financial data management and reporting

What we offer

• Vacation days: Up to 26 business days per year
• 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types
• Health and life insurance (Luxmed)
• MyBenefit platform with Multisport option
• Internal psychological support service
• English language classes from the first working day
• Access to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training
• Flexible workplace: work from the office, from home, or choose a hybrid option
• Tech Skills Mentoring Program
• Opportunities to develop as a public speaker, mentor, or technical interviewer
• Certification reimbursement (AWS, GCP, Microsoft, etc.)

This is how we work on a project

• Continuous Deployment
• Continuous Integration
• DevOps
• documentation
• technical debt management
• test automation

Development opportunities we offer

• external training
• mentoring
• substantive support from technological leaders

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• remote work opportunities
• flexible working time
• corporate products and services at discounted prices
• integration events
• coffee / tea
• drinks
• employee referral program
• extra leave

DataArt Poland sp. z o.o.

Our client is a leading global wealth and asset management organization focused on delivering innovative investment solutions and providing access to a broad international ecosystem of opportunities.