Senior Data Engineer

We are looking for a Senior Data Engineer who will play a key role in optimizing and automating our data pipeline processes.
You will work with our Customer, a leading international consulting company based in Germany. They are expanding their product portfolio for existing and new clients. You will be working on a project that involves highly loaded platforms and lots of data and analytics.

Requirements:

- To work in the capacity of Azure Databricks, Python, Pyspark developer
- 5+ years of experience with Python (Pyspark and Databricks)
- Hands-on experience in implementing complex user stories
- Expertise in Cloud related Big Data integration and infrastructure techstack using Azure Databricks
- Should have data engineering mindset to build, maintain pipelines, and the ability to monitor critical pipelines closely
- Strong problem-solving and analytical abilities
- Excellent communication and collaboration skills
- A passion for delivering high-quality software solutions and driving innovation.
- Langchain.
- Azure.
- Gitlab.
- OOP.
- Upper-intermediate English.
 

Responsibilities:

- Build, optimize, and maintain ETL/ELT pipelines using Azure Databricks, Python, and PySpark.
- Apply OOP principles to write clean, scalable code.
- Work closely with development, analytics, and DevOps teams to solve complex challenges.
 

We offer:

— A working environment with plenty of scope for creativity.
— Independent work with a well-rehearsed team in the background.
— Remote work.
— Competitive salary with a long-term contract.
— Attractive compensation package (20 days of vacation, 5 sick days — 100% compensation).
— Trust and support from the management team.
— High degrees of responsibility and autonomy.
— Agile teams where your ideas and solutions are valued.