bridge351

Data Engineer

• Create and maintain Enterprise Data Warehouses and complex Business Intelligence Solutions, including Data Lakes and Data Lakehouses
• Design modern BI architectures for cloud, on-premises, and hybrid environments while ensuring security and data residency compliance
• Gather and analyse business requirements for data pipelines, storage, and reporting solutions
• Design and implement ETL/ELT processes and orchestration workflows with data contracts and schema evolution management
• Implement and manage data virtualization layers for unified access to heterogeneous data sources
• Design and implement dimensional and other data models supporting reporting and analytics
• Design and build dashboards, KPIs, reporting, analytics applications, and self-service BI tools
• Optimize physical database schemas through indexing, partitioning, and storage strategies
• Analyse database performance, tune queries, optimize resource utilization, and meet latency and throughput SLAs
• Implement data quality frameworks, health monitoring, data observability, and SLAs/SLOs
• Define and execute BI solution testing, including data validation, regression tests, contract tests, and CI/CD automation
• Maintain technical documentation such as data dictionaries, lineage, design specifications, and runbooks
• Deploy and configure BI systems using infrastructure-as-code, version control, and environment management
• Govern BI semantic layers, including KPIs, metrics catalogs, naming conventions, and row-level security
• Manage BI access controls and data security in alignment with GDPR and internal data protection policies
• Optimize BI platform and warehouse cost and performance through partitioning, caching, clustering, query optimization, and resource scaling
• Define and enforce data lineage and stewardship practices
• Enable self-service BI through curated datasets, certified reports, and user training/support

BI Data Engineer

Solutions Engineer

• Design and implement cloud solutions with defined availability, reliability, performance, and ownership boundaries
• Manage and optimize cloud infrastructure and operations for cost, performance, and availability
• Conduct cloud cost analysis and monitor expenses using FinOps practices, including budgeting, forecasting, rightsizing, and showback/chargeback models
• Implement security, compliance, data protection, shared responsibility, zero-trust, encryption, and GDPR-aligned controls
• Automate cloud processes and workflows using scripting and tools
• Troubleshoot cloud issues and maintain operational service levels and KPIs
• Collaborate with development teams supporting cloud-based applications
• Evaluate and recommend cloud services and technologies
• Create and maintain documentation for cloud systems, architectures, and operational processes
• Manage cloud architecture, development, and migration lifecycle, including strategy, landing zones, networking, data migration planning, and runbooks
• Provide cloud expertise and support to stakeholders and teams
• Establish governed cloud landing zones with policies, tagging, RBAC, and environment hierarchies
• Implement monitoring, logging, tracing, incident response, and disaster recovery/business continuity plans with defined RTO/RPO

Cloud Solutions Architect

Backend Engineer

• Develop back-end procedures and software
• Design, create, develop, and maintain websites
• Gather and interpret end-user requirements
• Deliver business and technical presentations
• Apply high-quality standards to software development
• Adapt to fast-changing software development technologies
• Communicate with technical and non-technical audiences
• Apply analytical and problem-solving skills
• Produce clear and structured technical documentation
• Participate effectively in technical meetings

Fullstack .Net Developer

Machine Learning Engineer

• Reliably deploy machine learning models developed by data scientists into production environments
• Develop and support ML-focused CI/CD deployment pipelines
• Monitor production models, including performance, failures, and key metrics
• Implement basic model alerting where needed
• Write clean, structured, maintainable, and testable Python code
• Collaborate with data scientists and data engineers on model deployment and data transformation initiatives
• Optimize model response times and operational efficiency
• Manage production models, deployments, pipelines, and production fixes
• Pursue retraining automation initiatives

Machine Learning Engineer – MLOps

Frontend Engineer

• Develop mobile applications with Flutter
• Develop solutions using React
• Work on tailored technology projects in areas including Cloud, Cybersecurity, Data, and Advanced Development
• Collaborate within a professional, dynamic, and collaborative team
• Contribute to projects across international markets

Flutter/React Developer

• Analyse spatial data and provide geographic insights
• Ensure accuracy in spatial data capture and reporting
• Resolve GIS challenges from integration to configuration
• Manage multiple GIS projects effectively
• Explore emerging GIS tools and technologies
• Deliver results as a GIS Specialist
• Provide team leadership
• Develop geographic analysis Python tools using ArcGIS Notebook or Python toolboxes
• Perform geoprocessing of geographic data and maintain topological integrity
• Produce thematic maps
• Build SQL queries for data cleaning or selection
• Collaborate in a professional, dynamic, and collaborative team
• Participate in multilingual meetings and contribute both independently and as part of a team

GIS Specialist

• Access and download datasets
• Combine data from different sources and formats and harmonise data
• Maintain long time series, identify outliers, and complete missing data
• Create new variables and indicators from existing variables
• Produce charts and visualise results
• Perform spatial analysis and geoprocessing
• Automate geoprocessing workflows with Python
• Apply fit-for-purpose class breaks and symbologies
• Develop layouted maps, choropleth maps, and interactive web maps
• Use online storytelling tools such as Esri StoryMaps
• Manage geospatial data modelling, transformation, enrichment, quality assurance, dissemination, and visualisation
• Deliver geographic insights and accurate spatial data reporting
• Resolve GIS challenges from integration through configuration
• Manage multiple GIS projects and deliver results collaboratively or autonomously