Data Technical Consultant

Hi, we're IDS Consulting (Integration Data Systems) — a team of 150+ data people who genuinely love what we do. For 14+ years, we've been the go-to end-to-end consultancy for Business Intelligence and Data Warehousing, partnering with enterprise clients across Banking, Retail, and Telco in Romania and Europe.

Our promise is short and to the point: We always deliver. Expert Data Services.

If you join us, you become part of a crew that constantly challenges itself to be better, raises the bar on every project, and has each other's back along the way. Because we believe that the best way to help our clients stay on top of their data is to stay on top of our game — together.

Buckle up and ride the data journey with us!

Role Description

We're looking for a Senior Technical Data Analyst to join one of our Data Warehouse and BI teams. You'll be the technical bridge between business requirements and data architecture — turning business rules and integration needs into clear specifications, solid data models, and traceable data flows that other teams can build on with confidence.

Technical analysis & requirements

• Translate business requirements, data rules, and integration needs into detailed technical specifications for data flows and solutions.
• Produce and maintain technical documentation: functional and technical specs, data flow diagrams, mappings, and system diagrams.
• Map technical dependencies across systems, applications, modules, and integration flows.
• Work with technical teams and vendors to clarify requirements and validate proposed solutions.
• Lead and participate in technical analysis sessions with business and IT stakeholders.
• Keep documentation current throughout the life of each project and implementation.

Data analysis & modeling

• Analyze and profile source data sets to identify structures, relationships, and anomalies.
• Assess technical feasibility of requirements based on available data and system dependencies.
• Define detailed source-to-target mappings from validated prototypes.
• Build and maintain conceptual, logical, and physical data models (ERD) aligned with business needs and the company's data architecture.
• Apply advanced modeling techniques — normalization, star/snowflake schema — to optimize performance and support reporting and analytics.
• Define entities, relationships, and integration rules to keep data flows consistent and well documented.
• Partner with business and IT teams to validate data models against operational and technical requirements.

Data lineage & traceability

• Maintain technical metadata in the data catalog, ensuring field-level lineage between source and target systems.
• Document technical dependencies and transformation rules behind each data flow.
• Run technical impact analysis ahead of changes to systems and data flows.
• Flag data quality or integration risks and work with the right teams to resolve them.
• Define technical data validation rules and help build them into testing processes.
• Contribute to lineage, metadata management, and data validation standards and tooling.

Testing & implementation support

• Partner with business analysts and testers to validate technical implementations and data flows.
• Provide technical support during testing and UAT, and help investigate defects.
• Reconcile data between source and target systems to confirm consistency and integrity.
• Support implementation of technical changes and fixes across data flows and solutions.
• Make sure implementations meet agreed project specifications and standards.

Work model: Hybrid and remote-friendly. We trust you to deliver, wherever you work best from.

Qualifications

Must-have

• University degree in IT, Cybernetics, Economic Informatics, Mathematics, or a related field.
• 10+ years of experience in a similar technical data analyst role.
• Strong hands-on SQL skills and solid understanding of database and data modeling concepts.
• Proven experience with source-to-target mappings, data flow documentation, and system diagrams.
• Practical experience building conceptual, logical, and physical data models, including dimensional modeling (star/snowflake schema).
• Working knowledge of data lineage and metadata management practices.
• Sharp analytical and problem-solving skills — able to diagnose complex requirements and validate solutions with data.
• Comfortable facilitating technical discussions with both business and IT stakeholders.
• Strong written and verbal communication, with the ability to produce clear technical documentation.

Nice to have

• Experience in the banking or retail industry.
• Certifications or specialized training in SQL, databases, or data modeling.
• Familiarity with data governance and validation tooling.

How you work

• A team player with strong ownership and attention to detail.
• A self-starter, comfortable managing multiple projects in parallel.
• Curious and proactive about improving standards, tools, and ways of working.

Sound like your kind of place? We'd love to meet you.