Lead/Senior 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 45+ 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 Lead/Senior Data Engineer eager to join us on this mission.

Lead/Senior Data Engineer

What will you be doing?

• Lead the development and maintenance of data pipelines, ETL/ELT processes, and data workflows across our Azure-based analytics platform
• Mentor and provide technical leadership to a team of data engineers while establishing best practices, coding standards, and architectural patterns
• Design and implement scalable data integration solutions for real-time and batch processing scenarios
• Collaborate with data architects, scientists and analytics engineers to optimize data delivery, storage solutions, and computational resources
• Partner with business stakeholders to gather requirements and translate them into technical specifications and process documentation for IT counterparts (on-prem and offshore)
• Support continuous improvement by investigating and presenting alternatives to processes and technologies to an architectural review board
• Develop and ensure adherence to published system architectural decisions and development standards

The duties listed above are the essential functions, or fundamental duties within the job classification.  The essential functions of individual positions within the classification may differ. May assign reasonably related additional duties to individual employees consistent with standard departmental policy.

You must have:

• 7+ years of experience in data engineering, with at least 3 years in team leadership
• Highly proficient in Databricks, and/or Snowflake 
• Strong experience with Azure data stack 
• Bachelor’s degree in Computer Science, MIS or related field (industry experience substitutable) 
• Expert level in data lakehouse, data warehouse design/architecture, dimensional data modeling and ETL process development
• Strong programming skills in:
• Python (pandas, PySpark, NumPy)
• SQL (T-SQL, Spark SQL)
• Experience with DBT, Delta Parquer, Orchestration tools (dagster, prefect, airflow,
• argo)

Perks & benefits:

• Fully remote working model
• Consulting mindset
• Knowledge-sharing sessions, Lightning Talks
• Employee referral program