Data Engineer / Senior Data Engineer (Databricks, Snowflake, Data Lakes)

Project overview

Data Engineer / Senior Data Engineer (Databricks, Snowflake, Data Lakes)

We are looking for experienced Data Engineers and Senior Data Engineers to join international teams developing scalable data solutions for enterprise applications and AI-powered systems.

The projects involve processing large and complex datasets, including financial, tax and customs data. The solutions support business applications and AI systems used for data analysis and document preparation.

You will work with modern data platforms such as Databricks and Snowflake, building reliable data pipelines and scalable data architectures in an enterprise environment.

Responsibilities

• Design, develop and maintain data integration and processing solutions.
• Build, optimize and maintain ETL/ELT pipelines.
• Work with data platforms such as Databricks, Snowflake and Microsoft Fabric.
• Process, transform and integrate data from multiple business systems.
• Build data layers that support business applications and AI solutions.
• Ensure data quality, consistency, performance and reliability.
• Collaborate with AI Engineers, architects and business stakeholders.
• Contribute to scalable data architecture design for enterprise environments.

Requirements

• Hands-on experience in Data Engineering and developing production-ready solutions.
• Strong SQL and Python programming skills.
• Experience with at least one of the following platforms: Databricks, Snowflake or Microsoft Fabric.
• Understanding of Data Lake and Lakehouse architectures.
• Practical experience designing and developing ETL/ELT processes.
• Experience integrating and transforming data from multiple sources.
• At least 2–3 years of experience in enterprise environments or projects of comparable scale and complexity.
• Very good English communication skills.
• Ability to work independently, take ownership of deliverables and collaborate effectively with technical and business teams.

Nice to have

What we offer

• Experience with PySpark and Apache Spark.
• Knowledge of large-scale data platform architectures.
• Experience preparing data for AI applications, LLMs or RAG systems.
• Experience working with financial, tax or regulatory data.
• Previous experience as a Lead Data Engineer or Data Architect.
• The opportunity to work on advanced Data & AI solutions in an international environment.
• Exposure to enterprise-scale projects, particularly those serving US-based clients.
• The opportunity to contribute to data architecture and influence technical decisions.
• Collaboration with experienced engineers in small teams, typically consisting of 6–8 people.
• A high degree of autonomy and direct collaboration with stakeholders.
• Long-term project opportunities, typically lasting 12–18 months.
• Fully remote work from anywhere in Poland.

Project details

Poland

Work model: 100% remote

Contract: B2B

Start date: ASAP / flexible

Long-term, typically 12–18 months

140–145 PLN/h

• Start: flexible
• Remote: remote
• Location: Warszawa, Emilii Plater 53, PL
• Rate: 110-145 EUR/h