Senior Data Engineer (Tebleau, Snowflake, dbt)

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.

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

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.