Senior Data Engineer (Power BI)

Technologies we use

Expected

• dbt
• SQL
• PowerShell
• Python
• AWS
• Snowflake Data Cloud

Optional

• Snowflake Data Cloud
• Databricks
• Microsoft Azure

About the project

We are helping to develop a decision support system for investment analysts.

The project includes development, optimization, and speeding up applications and databases.

DataArt specialists work on the project in several areas related to the core business of the client.

This is how we organize our work

Team size

10-20

This is how we work

• you focus on a single project at a time
• you develop the code "from scratch"
• you focus on product development
• you focus on code maintenance

Team members

• backend developer
• data scientist
• project manager
• business analyst

Your responsibilities

• Build, maintain, and enhance data pipelines and transformation workflows using dbt.
• Develop clean, reliable, and reusable data models for analytics and reporting.
• Work with SQL and data warehouse platforms to investigate data, troubleshoot issues, and implement transformations.
• Develop and maintain Power BI dashboards, reports, semantic models, and DAX measures.
• Translate business requirements into appropriate data models and reporting solutions.
• Perform data analysis, validation, reconciliation, and data quality checks.
• Troubleshoot data issues across the pipeline, from source through transformation to reporting.
• Take ownership of assigned tasks and independently drive them through development, testing, and completion.
• Work closely with business, analytics, and engineering teams to deliver production-ready solutions.

Our requirements

• Strong SQL and data analysis skills.
• Hands-on experience with dbt and modern ELT/data transformation practices.
• Solid understanding of data modeling, including dimensional modeling, fact/dimension structures, and analytics datasets.
• Experience working with a modern cloud data warehouse, preferably Snowflake.
• Strong working experience with Power BI, including data modeling, DAX, dashboard development, and performance considerations.
• Ability to understand unfamiliar datasets and identify relationships, data quality issues, and transformation requirements.
• Experience debugging and supporting existing data pipelines and analytics solutions.
• Comfortable working independently in a fast-paced environment and delivering tasks with limited supervision.
• Strong experience with Python and Airflow.
• Strong experience with AWS cloud services.

Optional

• Experience with SAP BW/4HANA, SAP Datasphere or migrations from SAP to cloud platforms.
• Snowflake Cortex, Streamlit or semantic layer experience.
• CPG, retail or distribution domain; retailer data platforms or syndicated market data (POS, Nielsen-type datasets).
• Experience building an engineering operating model or data engineering maturity roadmap.
• Exposure to Microsoft Fabric or Databricks.
• Experience with international client-facing engagements.

What we offer

• This is a contract position.

This is how we work on a project

• team-level deployment
• documentation

Development opportunities we offer

• development budget
• external training
• intracompany training
• mentoring
• support of IT events
• technical knowledge exchange within the company

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
• sharing the costs of tickets to the movies, theater
• employee referral program
• opportunity to obtain permits and licenses
• extra leave

DataArt Poland sp. z o.o.

Our client is one of the world's largest investment funds that manages hundreds of billions of dollars.

The company's business is focused on several areas: private equity, venture capital, real assets, investment solutions, and global market strategies.