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Offer summary
(Summary generated by AI based on the full job description)
Project focuses on building a scalable data ecosystem with emphasis on the visualization layer to support C-level decisions. Core stack includes Tableau, Snowflake and DBT, with strong SQL and data modeling expectations. Responsibilities cover designing, developing and optimizing dashboards, creating data sources and semantic layers, ensuring data consistency and accuracy, and producing documentation and end-user training. Requires 5+ years of Tableau experience and domain knowledge in fintech/wealth management and investment metrics.
from: 17 September 2026
to: 17 October 2026
18 000 - 21 300 złnet (+ VAT)/ mth.B2B contract (full-time)
15 000 - 17 500 złgross/ mth.contract of employment
Offer parameters
level:senior
working mode:remote • hybrid • full office
location:Warszawa, Masovian
Warszawa, Masovian
Requirements
Expected technologies
Tableau
Snowflake Data Cloud
DB2
Optional technologies
Apache Spark
Apache Flink
Our requirements
- 5+ years of dedicated Tableau development experience.
- Experience working with Snowflake or similar cloud-based data warehouses.
- Experience utilizing DBT models as the primary data source layer.
- Strong SQL skills and a deep understanding of data modeling principles (Semantic layer and consumption layer).
- Proven ability to build executive-level dashboards and translate business requirements into strategic visual insights.
- Understanding of core financial metrics and investment terminology, experience within the fintech domain.
Optional
- Professional experience within the wealth management or financial services sector.
- Familiarity with data schemas from Addepar, Salesforce, or NetSuite.
Your responsibilities
- Build, maintain, and optimize sophisticated dashboards and visualizations using Tableau.
- Develop data sources and semantic layers within Snowflake to support streamlined reporting.
- Collaborate with business teams to define KPIs and translate requirements into visual formats.
- Ensure total data accuracy and consistency across all reports and dashboards.
- Continually improve dashboard performance and usability for an enhanced user experience.
- Document dashboard logic and provide training to end-users to support platform adoption.
About the project
strategic initiative to build a centralized, scalable data ecosystem focusing on the visualization layer, transforming complex data architectures into intuitive, high-impact dashboards that support analytics and C-level executive decision-making.
The Tableau Engineer will join a newly forming team of data specialists, working at the intersection of engineering and business intelligence, responsible for designing, developing, and maintaining sophisticated visualization solutions that provide clear insights into investment performance and portfolio data.
This is how we organize our work
This is how we work
you focus on a single project at a timeyou have influence on the technological solutions appliedyou focus on product developmentagile
Team members
1-10 people:data scientistbusiness analyst
This is how we work on a project
- code review
- BDD
- Continuous Integration
- DevOps
- documentation
- integration tests
- test automation
- testing environments
- unit tests
Development opportunities we offer
- mentoring
- technical knowledge exchange within the company
DataArt Poland sp. z o.o.
Our client is a prominent global wealth and asset management firm focused on delivering innovative investment solutions and a networked ecosystem of international opportunities. The organization operates within a highly regulated environment and prioritizes transforming complex concepts into actionable financial strategies for a global clientele.
This is how we work
Senior Tableau Engineer
15k–17.5k zł / mth. (CoE), 18k–21.3k zł / mth. (B2B)
I apply to:
DataArt Poland sp. z o.o.
Warszawa, Masovian
Need more information?
- Make sure the body of the offer doesn’t already include what you’re looking for.
- Ask a question if you need more information you’re interested in.
- We’ll forward your question to the employer and aim to provide a response within 3 business days.