Awareson Sp. z o.o.

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

110 - 145 PLN/ godz./ godz.B2BB2B (netto)

MidZdalnie·WarszawaFull-time·B2B

#469527·Dodano 15 dni temu·1

Źródło: justjoin.it

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Tech Stack / Keywords

SQL PythonData EngineeringETL/ELT Databricks Snowflakedata lake / lakehouse architectureData Integration & TransformationApache Spark / PySparkMicrosoft Fabric

Podsumowanie oferty

Build and maintain data pipelines and scalable data architectures for enterprise applications and AI-powered systems. Work with Databricks, Snowflake and Microsoft Fabric on large, complex datasets.

Wymagania

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:

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.

Obowiązki

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.

Benefity

Opportunity to work on advanced Data & AI solutions.
Exposure to enterprise-scale projects, particularly those serving US-based clients.
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.

Inne informacje

The role is available to candidates working from anywhere in Poland.
Start date: ASAP or flexible.

Awareson Sp. z o.o.

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