Data Engineer – Fluent English Required

Data Engineer (Portugal) – Fluent English Required   Introduction   4GLOBAL is a data, services and software company that partners with governments, cities, fitness operators and sports bodies to maximise return on investment in sport, leisure and physical activity programmes. Our strength lies in leveraging proprietary data, technology and strategic expertise to help clients boost participation and deliver measurable health, social and economic outcomes.  We operate through two core business units:  Sport Bodies:  Supporting international, national and regional federations to develop strategy, assess impact and strengthen governance and performance.  Operators:  Partnering with global health & fitness operators, local authorities, leisure management systems and equipment suppliers to grow participation and improve outcomes through data-led decisions.  Our clients include governments (such as the UK Government and Sport England), cities (including Neom in Saudi Arabia and Manchester, UK), sporting federations (like the International Olympic Committee), and public and private health & fitness operators (such as The Gym Group and Places Leisure), all committed to tackling inactivity and increasing participation.  Our vision is to create a world where data-driven decision making transforms how communities engage with sport and activity, guiding more targeted investment and driving improved population health.  To support this, we’ve built a GDPR-compliant, AI-powered data intelligence platform that hosts one of the world’s largest curated activity datasets, driving many of our insights and recommendations.  Our work includes:   Advising on how physical activity can drive social and economic change  Designing and evaluating strategies and interventions that activate people and places  Helping clients embed digital transformation and system-wide improvement  Providing visualisation tools that integrate data from leisure and membership management systems, wearables, healthcare, and community programmes  This enables clients to:   Predict outcomes of sport and physical activity investments  Benchmark the impact of existing and new initiatives  Analyse behaviours and participation trends  Target groups to maximise programme reach and impact  Set data-driven standards for decision making  Identify key drivers of participation locally and nationally  We support clients worldwide, with our head office in London and remote teams across the United States, South America and Turkey. We are also in the process of establishing a new office in Portugal to support our growing technology hub.   Data Engineer (Portugal) – Fluent English Required   Location:  Algarve (Hybrid)  Contract:  Permanent, full-time  Salary:  €45,000–€55,000 gross per annum (base)  Language requirement:  Fluent English (spoken and written) is essential  Role Description   The Data Engineer will play a key role in building and maintaining reliable data pipelines and integrations that feed InsightOS. This position supports the internalisation of data engineering capabilities previously handled externally, enabling stronger control over data quality, reliability, and performance. Working closely with Backend, GIS, and Infrastructure colleagues, you will help design scalable ingestion and transformation workflows that underpin our predictive analytics platform.  Key Responsibilities   Develop and maintain ETL/ELT pipelines to integrate data from multiple internal and external sources into InsightOS.  Support API-driven data ingestion and transformation workflows, including monitoring and troubleshooting.  Collaborate with Backend, GIS, and Infrastructure teams to ensure consistent, reliable data availability for product and internal stakeholders.  Improve data quality, performance, and documentation across pipelines and integrations.  Contribute to defining data models, ingestion strategies, and best practices for transformation and validation.  Ensure alignment with 4GLOBAL’s data governance, reliability, and security standards.  Provide day-to-day technical leadership,  including mentoring/supporting more junior employee’s, contributing to delivery planning, and helping to drive best practice across the team.  Skillset Requirements   Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, Statistics, Mathematics, or a related field (or equivalent practical experience).  A minimum of 5 years’ experience in data engineering (or closely related roles), with demonstrable ownership of production-grade pipelines and integrations.  Familiarity with cloud environments and data infrastructure concepts (e.g., storage, compute, orchestration, monitoring). can we specifically say (AWS)  Strong SQL fundamentals with experience querying and transforming complex datasets.  Hands-on experience with Python (or a similar language/tooling) for data processing and automation.  Solid understanding of ETL/ELT concepts, data modelling, and data pipeline design patterns.  Experience ingesting data via APIs (authentication, rate limits, data normalisation, error handling).  Familiarity with cloud environments and data infrastructure concepts (e.g., storage, compute, orchestration, monitoring).  Strong problem-solving skills and the ability to diagnose data issues and optimise pipeline performance.  Management/leadership experience, such as mentoring, coaching, leading workstreams, or line management responsibility within an engineering or data context.  Clear communication skills and comfort working cross-functionally in a fast-moving environment.  Fluent English (spoken and written) is essential.  A passion for sports, with an understanding of sports participation trends and concepts, is desirable.