Data Engineer

We are an independent multi-cloud services company that helps enterprises and SMB companies build new foundations for future growth through successful cloud transformation and breadth of expertise in applying cloud technologies to unlock new possibilities. Today's digital and technological revolution is an important part of our business - we are not only adapting to it, but also taking an active part in creating and supporting companies in overcoming the associated challenges.‍

Our goal is to see the client from their perspective, build relationships based on mutual benefit, and contribute to the efficiency and optimization of clients' businesses. 

We are people with high seniority, and we specialize in solutions that help our clients in digital transformation.  Our company focuses on long-term relationships and offers the opportunity to actively influence the development of the organization. We create an inspiring atmosphere based on transparency and cooperation. 

Our mission is to support customers at various stages of their cloud journey, from initial migration and cloud-native modernization to building platforms and scaling Infrastructure as Code processes for multiple development teams.

We are seeking a talented Data Engineer eager to join us on this mission.

Data Engineer

What will you be doing?

• Design, develop, and maintain cloud-based data warehouse solutions (Azure Synapse, Databricks, and Azure Data Factory)

• Implement ETL/ELT pipelines to process large-scale datasets efficiently

• Integrate data from Oracle and other legacy systems into Azure-based platforms

• Work with cloud platforms like Azure, AWS or GCP to deploy and manage data solutions.

• Monitor and troubleshoot data pipelines and infrastructure for performance and reliability.

• Create detailed documentation for data pipelines, workflows, and data governance policies.

Must-have requirements:

• 4+ years of experience as a Data Engineer

• Experience with data platforms such as Databricks, Snowflake, MS Fabric.

• Proficiency in working with MS Azure Cloud Services, including Azure Kubernetes, Azure Data Factory, and cloud storage solutions (data lake, data warehouse, data mart).

• Excellent knowledge of SQL

• Hands-on expertise with ETL Tools, specifically Azure Data Factory, and orchestration frameworks like Dagster, Prefect, Airflow, or similar tools.

• Knowledge of data governance frameworks, policies, and tools such as Unity or DataHub for cataloging and metadata management.

• Experience with Delta Lake/Parquet formats and Medallion-based data architecture for scalable data solutions.

• Familiarity with CI/CD pipelines and tools such as GitHub or Azure DevOps for version control and deployment automation.

• Professional English proficiency both written and spoken (min. C1).

Perks & benefits:

• Fully remote working model

• Consulting mindset

• Knowledge-sharing sessions, Lightning Talks

• Employee referral program