IT Analyst – Data Engineering (f/m/x)

Expert IT Analyst – Data Engineering

We are looking for an experienced IT Analyst / Analytics Engineer to join a data engineering project within a large international organization in the financial sector.

This role combines hands-on data engineering and analytics with requirements analysis. You will work closely with business stakeholders, Product Owners, developers, and engineers to translate business needs into scalable, data-driven solutions.

Responsibilities:

• Gather, clarify, and document functional and non-functional requirements,

• Translate business needs into clear implementation specifications,

• Work closely with Product Owners, business stakeholders, developers, and test engineers,

• Design and develop data models, mappings, and data-intensive solutions,

• Design and support near real-time data pipelines,

• Perform quantitative analysis on complex and distributed datasets,

• Identify data-related issues, explain their business impact, and recommend solutions,

• Contribute to solution design, maintainability, and application architecture,

• Take ownership of requirements documentation, including use cases,

• Promote data quality, analytical best practices, and continuous improvement across teams.

Requirements:

• 5+ years of professional experience in IT/data-related roles,

• Hands-on experience with Snowflake and dbt,

• Very good knowledge of SQL, including experience with Snowflake SQL and MS SQL,

• Experience in data modeling, data mapping, and data pipelines,

• Experience in gathering and translating business requirements into functional and non-functional specifications,

• Ability to combine technical data expertise with a strong understanding of business needs,

• Understanding of modern software architecture concepts such as DDD, event sourcing, and microservices,

• Experience or practical familiarity with AI/LLM-based tools such as Copilot or agentic solutions,

• Previous experience in banking or financial services,

• Fluent English, both written and spoken.