Data Engineer focused on analytics and data pipeline development for network optimisation. Collaborating with teams to deliver high - quality data solutions with Python and SQL.
About the role
- Data Architect defining data domains, models, and principles for Intelance's EA function. Collaborating with architects to ensure data lineage and integration.
Responsibilities
- Work with Enterprise, Solution, and Business Architects to define the client’s data architecture baseline (domains, entities, owners, flows).
- Identify and document key data sources, integrations, and reporting layers across core systems (ERP, project systems, engineering tools, etc.).
- Design high-level conceptual and logical data models for priority domains (e.g. projects, assets, work orders, finance, risk, compliance).
- Define data principles, standards, and guidelines (naming, keys, reference data, quality rules, retention).
- Map data lineage for critical reports and interfaces, highlighting breaks, quality issues, and technical debt.
- Provide data input into HLA/HLD designs for 1-2 pilot projects going through the new EA workflow.
- Collaborate with Integration and Security Architects to ensure APIs, data services, and controls align with the target data architecture.
- Contribute to the EA repository with clear, versioned data artefacts and diagrams.
- Advise client teams on priorities for data improvement (master data, reporting, governance) and help shape a realistic data roadmap.
Requirements
- 7+ years’ experience in Data Architecture, Data Modelling, or related roles.
- Proven track record designing conceptual and logical data models for complex, multi-system environments.
- Experience mapping data flows and lineage across transactional systems, integrations, and reporting platforms.
- Strong understanding of data management practices: data quality, master data, reference data, metadata, retention, and ownership.
- Hands-on exposure to at least one modern data and analytics platform (e.g. Azure Data Platform, SQL Server, Oracle, Snowflake, SAP BW/HANA, or similar).
- Comfortable working with integration patterns (APIs, ETL/ELT, streaming) and collaborating closely with Integration Architects.
- Able to explain data concepts clearly to both technical and non-technical stakeholders.
- Excellent communication skills in English and comfortable working in a hybrid model (remote plus occasional on-site visits to Casablanca and/or London).
Benefits
- Play a key role in defining the data foundations of a new Enterprise Architecture capability for a major engineering and project-delivery group.
- Work in a small, senior team focused on practical outcomes rather than heavy bureaucracy.
- Hybrid working model - remote by default, with targeted on-site trips to build strong relationships and run critical workshops.
- Exposure to Intelance’s broader EA, Cybersecurity, and AI work and the chance to influence how data is treated across multiple clients.
- Competitive compensation with options for freelance / Ltd company engagement or longer-term collaboration.
- Direct access to Intelance leadership and the opportunity to help shape our data architecture methods and accelerators.
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