Data Engineer (Associate or Senior)

Behalf of our client, we are looking for Associate and Senior Data Engineer (permanent position).

About the company:

By creating powerful, beautiful and intuitive digital products they don't blindly follow trends. They take their understanding of the latest technologies and build the best solutions for their enterprise clients. They’re big believers in collaboration across engineering, UX and product teams. They combine their individual expertise to solve complex challenges.They seek a team members who care about results and are not afraid of taking ownership - Data Engineer - Associate and Senior.

About the role:

• Leadership and Relationship Management:

Working in our customer projects with a focus on delivering value as part of cross-functional teams.

Collaborating with sales, delivery teams, customers, and project managers to design and architect data-driven solutions, taking ownership of the technical aspects.

• Data Solution Development:

Driving impact by developing data pipelines and crafting data transformation solutions on cloud data platforms

Designing, implementing or maintaining scalable data solutions that are aligned with business objectives

Architecting, deploying and orchestrating data pipelines using languages such as Python, Scala, or Java

Utilizing cloud services and big data technologies (e.g., Spark) to analyze large datasets, with a focus on efficiency and scalability

Developing data models, SQL queries, ETL processes to support warehousing needs, complex data analysis and data integration.

Advising on best practices, leveraging familiarity with data lake architectures and modern data stack like Databricks or Snowflake.

• Testing:

Ensuring data integrity through automated testing and quality checks, and optimizing data storage and processing in cloud environments.

• Documentation:

Data model and architecture design

Data engineering solution documentation

Project specific documentation

• Knowledge Management:

Participate in Commuity Techtalks, etc.

Requirements:

• Strong background in data engineering with some experience in BI or MLOps

• Strong skills and working experience with public cloud providers (AWS, Azure or GCP)

• Experience in building and designing data solutions

• Experience with Databricks, Snowflake or DataVault

• Experience and knowledge of SQL and Python

• Experience with Spark

• Familiarity with data warehousing and lakehouse

What company offers:

• Opportunity to be part of a global organization.

Encouraging working atmosphere, engaging activities, and extra benefits (e.g. additional medical insurance (covers gym subscription), team events, outreach activities, and others);

• Hybrid work model with remote work opportunities.

• Open, modern, and ergonomic work environment when working from the office with the multicultural community.

• Opportunity to grow professionally and personally (e.g. Udemy) and continuously develop within the domain.

• The salary range for this position is from 2850 EUR to 5750 EUR gross before taxes.*

*Salary offer for the candidate is determined based on the predefined salary ranges for the position and depends on the level of competence and experience of the candidate.

Data Warehouse | Python | Spark | Cloud | SQL