Senior Data Solutions Engineer

Do you enjoy combining business analysis with designing IT solutions?

At GGS IT Consulting, we build systems that truly transform how companies operate – from process automation to the development of entirely new applications. Join us as a Senior Data Solutions Engineer and work with modern technologies in an international environment.

In this role, you’ll have a real impact on shaping digital solutions for our clients. You’ll work across three key areas:

• Improving existing systems

• Building new systems based on proven solutions

• Designing entirely new systems or products

You’ll be at the intersection of business and technology, working closely with stakeholders to understand their needs and propose comprehensive, future-proof solutions.

Your responsibilities:

• Designing and implementing scalable data solutions using modern cloud data platforms such as Databricks, Microsoft Fabric, and Snowflake;

• Building, maintaining, and optimizing data pipelines, ETL processes, and system integrations;

• Designing data models, databases, and data warehouse architectures to support business and analytical requirements;

• Developing data processing solutions using Python and SQL and/or other technologies; 

• Gathering requirements from customers;

• Proposing business solutions for customers’ needs;

• Preparing a necessary technical specification;

• Planning next releases, scoping the implementation;

• Working closely with team members and managing code review;

• Solving the issues with the existing architecture and delivery process;

• Working closely with customers, communicating project status, raising risks. 

Our requirements:

• Min. 5 years of experience in a similar position;

• SQL programming knowledge (expert); 

• Python or other programming language knowledge; 

• Experience in working with data platforms such as Databricks, Microsoft Fabric or Snowflake;

• Experience in GIT;

• Experience in designing ETL processes and software implementation;

• English knowledge (C1 level) is a must;

• High communication skills - consulting approach;

• Teamwork skills, good organization, planning, and a positive attitude.

Optional:

• Knowledge of cloud technologies such as Azure, AWS or GCP;

• Experience in AI implementation.