Senior Data Engineer

DataArt Solutions, Inc; Województwo małopolskie; On-site; PLN 80,000 - 120,000; Full time

Benefits offered by this job

Health insurance coverage

Vacation as per local laws

Support for technical challenges

Job summary

DataArt Solutions, Inc is seeking a Senior Data Engineer located in Poland, Województwo małopolskie. This role involves engineering data pipelines for a scalable data platform, optimizing performance in Snowflake, and integrating various financial data sources. Candidates should have over 5 years of experience, strong SQL and dbt skills, and familiarity with data workflows. The position offers a comprehensive benefits package, including health insurance and vacation as per local laws.

Qualifications

• 5+ years of experience in data engineering with a focus on building modern data platforms.
• Hands‑on experience with Snowflake and dbt, strong SQL skills and advanced data modeling expertise.
• Familiarity with ETL/ELT patterns and API‑based ingestion.

Responsibilities

• Build and maintain scalable data pipelines for ingestion into Snowflake.
• Develop and manage transformations using dbt, including modeling, testing, and comprehensive documentation.
• Design and orchestrate complex data workflows using Prefect.

Skills

Data engineering

SQL

Snowflake

dbt

ETL/ELT patterns

Prefect or Airflow

Financial data structures

Tools

Tableau

Python

Job description

Client

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, prioritizing the transformation of complex concepts into actionable financial strategies for a global clientele.

Project overview

The project involves the development and expansion of a centralized, scalable data ecosystem. Having successfully ingested the initial data source, the team is now moving into a high-growth phase to integrate multiple high-value financial and operational data streams. The goal is to provide C‑level executives and advisors with a unified, reliable reporting layer for strategic decision‑making.

Position overview

As a Senior Data Engineer, you will be a technical cornerstone of the data platform team. You will be responsible for the end‑to‑end engineering of data pipelines, from ingestion to transformation, ensuring that the Snowflake warehouse is optimized for complex wealth management analytics. You will work at the intersection of sophisticated financial data and enterprise‑grade engineering.

Responsibilities

• Build and maintain scalable data pipelines for ingestion into Snowflake.
• Develop and manage transformations using dbt, including modeling, testing, and comprehensive documentation.
• Design and orchestrate complex data workflows using Prefect.
• Utilize Workato to integrate and normalize data from critical SaaS platforms, including Addepar, NetSuite, Salesforce, Morningstar, and UKG.
• Design specialized data models tailored for portfolio, client, and financial reporting.
• Ensure data quality, lineage, and governance best practices while optimizing performance and costs within Snowflake.
• Partner with Tableau developers and business stakeholders to align technical delivery with reporting needs.

Requirements

• 5+ years of experience in data engineering with a focus on building modern data platforms.
• Hands‑on experience with Snowflake and dbt, supported by strong SQL skills and advanced data modeling expertise.
• Proven familiarity with ETL/ELT patterns and API‑based ingestion.
• Practical experience with orchestration tools such as Prefect or Airflow.
• A solid understanding of financial or wealth management data structures.

Nice to have

• Experience supporting reporting requirements for Tableau‑based visualization layers.
• Experience within the Wealth Management or Investment Management sector, with specific familiarity handling investment and portfolio‑related data.
• Understanding of regulatory requirements regarding financial data handling and privacy.
• Background in integrating market data providers such as Bloomberg or Morningstar.
• Advanced SQL skills and experience with Python for data engineering tasks.

Benefits

You will receive a benefits package that varies by region and contract type, including vacation as per local laws, health insurance coverage for you and your loved ones, a pleasant social environment with corporate parties and smaller gatherings, and support for technical and everyday work challenges.