Data Transformation Manager
NEW VACANCY

Let’s grow together, become our

Qualifications and experience
Bachelor’s or master’s degree in computer science, Information Systems, Mathematics, or a related quantitative field.
Minimum of 5+ years in analytics engineering, business intelligence, or data warehousing, with proven experience on data transformation focusing on post-loaded data manipulation.
Core responsibilities
Data Transformation & Modelling – Design and implement scalable data transformation layers and business-ready data models to support analytics and reporting.
Process Mapping & Optimization – Document current workflows, identify inefficiencies, and redesign processes using appropriate tools.
Data Quality & Governance – Establish data quality controls, documentation standards, and governance frameworks to ensure metric consistency.
Stakeholder & Business Alignment – Translate business requirements and logic into standardized, reusable data models, SQL, or dbt code.
Cross-Functional Collaboration – Work closely with data engineering, BI, analytics, and business teams to ensure solutions meet expectations and deliver value.
Competences
Expert-level SQL skills with the ability to write, optimize, and debug complex queries for large-scale datasets.
Deep understanding of data modelling concepts.
Strong Analytical Skills
“We are committed to equal employment opportunities and unbiased treatment of all individuals in all employment practices”.

Only shortlisted applicants will be contacted.

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