Mid-Senior Data Modeller (Remote, LATAM)

Our client is a data consultancy working primarily with organizations in the manufacturing sector, helping them modernize their data platforms on Microsoft Azure. They're looking for a Data Modeller to own the design layer across client engagements.

This is a long-term contract opportunity without an end date. The engagement is fully remote, and the successful candidate can be located anywhere in Latin America. You'll need strong English communication skills (B2+ or higher) for this role.

Responsibilities:

Develop conceptual, logical, and physical data models for Azure Synapse warehouse and data mart environments.
Design dimensional models: defining grain, building fact and dimension structures, and handling surrogate keys and slowly changing dimensions.
Make normalization and denormalization decisions based on how the data will actually be queried.
Profile client source systems to understand content, quality, and relationships before modelling against them.
Produce source-to-target mapping documentation detailed enough for engineering to build from without guesswork.
Analyze existing ETL and SSIS logic during Synapse migrations to recover embedded business rules, and design the target model that replaces them.
Catalogue data assets and build out metadata repositories.
Partner with architects, technical leads, and business teams to translate business questions into structures that answer them.

Mandatory Requirements:

4+ years in a data modelling or warehouse design role, with models you've taken from requirements through to production.
Strong dimensional modelling skills — star and snowflake schemas, grain definition, surrogate keys, and slowly changing dimensions.
Demonstrated ability to work across conceptual, logical, and physical layers, and to explain why a model is shaped the way it is.
Hands-on experience modelling for Microsoft Azure Data & Analytics, particularly Azure Synapse, with working familiarity with Azure Data Factory and Azure Data Lake Storage.
Strong SQL, including complex queries, and solid working experience with T-SQL and SQL Server.
Experience profiling unfamiliar source systems and reverse-engineering business rules out of existing ETL or SSIS logic.
Database performance tuning experience, with a clear understanding of how modelling decisions drive query performance.
Proven data warehouse and data mart experience.
Strong knowledge of data structures and the ability to extract data from a range of source systems (such as Cognos, Informatica, Hyperion, and similar).

Nice-to-Have:

Experience delivering models at enterprise scale, where design decisions affect multiple teams and systems.
Manufacturing industry experience.
Hands-on use of dedicated modelling tools such as ERwin, ER/Studio, or SqlDBM.
Consulting or client-facing experience.
Familiarity with Data Vault or other modelling methodologies.
Relevant Microsoft Azure data certifications.
Exposure to Informatica PowerCenter.
PL/SQL experience — the core stack is SQL Server and T-SQL, so this is a bonus.

Of Note:

Completed background checks will be required before the start date if you are selected as a winning candidate.
As a winning candidate, you will be required to disclose your engagement with DevEngine as a primary client on your professional LinkedIn profile.

While we strive to respond to all applicants, please understand that due to the high volume of applications we receive, providing individual feedback or responses to every candidate may not be feasible. Rest assured that your application will be carefully reviewed and considered. We appreciate your understanding and interest in joining our team.