At a Glance
- Tasks: Lead data engineering projects to automate portfolio performance tracking and create impactful dashboards.
- Company: Join a dynamic team at the British Council, committed to transparency and innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborate with leaders across the organisation in a supportive and inclusive environment.
- Why this job: Make a real difference by transforming data into actionable insights for strategic decision-making.
- Qualifications: Experience in data engineering, analytics, and proficiency in Power BI or similar tools.
Location: UK or Poland (residents only – relocation and sponsorship not provided)
Role purpose:
The Product Data and Analytics Lead provides the technical engine for the Value Management Office (VMO), automating the visibility of portfolio performance and benefit realization across the organization. It is responsible for building and maintaining the "Value Dashboard," ensuring that data from disparate systems (Finance, Project Management, and Operations) is integrated to provide a real-time view of strategic ROI. The role holder defines technical standards for value-tracking tools and creates automated data objects that link project outputs to the organisation’s "North Star" strategic objectives.
Role context:
Sitting within the Value Management team, this role bridges the gap between Digital & Technology (D&T) and the executive leadership (SLT/ELT). While the team’s strategists define the "what," this role owns the "how"—building the infrastructure to surface performance data that is currently trapped in silos. The role holder is an ambassador for data transparency, ensuring that every level of the organization, from Team Leads to the Board, has access to consistent, automated evidence of value delivery.
Main accountabilities:
- Automated Value Pipeline: Design and implement complex data flows that connect operational systems (e.g., Jira, Azure DevOps), financial systems (e.g., SAP) and other systems to automate benefit tracking.
- Executive Dashboarding: Build and maintain high-fidelity interactive dashboards (Power BI/Tableau) that visualize OKRs, KPIs, and actual vs. forecasted ROI.
- Integration Architecture: Apply knowledge of systems integration to create a "Single Source of Truth" for portfolio prioritization and resource allocation.
- Value-Drift Monitoring: Engineering automated alerts and reporting systems that flag when an initiative's value case begins to erode based on real-time data.
- Stakeholder Collaboration: Partner with the Portfolio Lead, Product Manager and Financial Analyst to translate complex business case metrics into scalable data models.
- Data Quality Governance: Adhere to best practices and standards to ensure that performance data surfaced to senior leadership is accurate, audited, and compliant.
Role specific skills:
- Full-Stack Analytics Engineering: Mastery of the lifecycle from data ingestion (ETL/ELT) to front-end visualization.
- Business Systems Analysis: Ability to map technical project metadata to financial value metrics.
- Stakeholder Communication: Experience in translating technical data structures into presentable, intuitive interfaces for non-technical senior leaders.
- Complex System Design: Applying design skills to environments where data is highly fragmented across different business units.
Role specific knowledge and experience:
Minimum / essential:
- Experience in data modelling, metadata management, design, coding, testing and delivery of data engineering solutions.
- Experience in supporting large change projects/programmes covering digital transformation and multiple technology architecture domains.
- Advanced proficiency in Power BI and/or Microsoft Fabric to create professional-grade executive dashboards.
- Experience with ETL tools, scripts, and data storage methods (Data Warehousing / Data Lakes) used for performance analytics.
- Experience with cloud technologies such as SaaS, IaaS, PaaS etc. and/or multi-cloud infrastructure and network capabilities (Azure, AWS, public/private cloud, etc).
- Experience in Cyber Security best practices and regulations.
- Fluency in English.
- Current residency either in the UK or Poland with unlimited right to work.
Desirable:
- Experience in a VMO, PMO, or Strategy-led data function.
- Background in financial modelling or commercial performance analytics.
- Microsoft Certified: Fabric Analytics Engineer Associate or Power BI Data Analyst Associate.
- Line management experience.
Education:
Degree in Computer Science, Information Technology, or a related discipline.
Professional Qualification and Certification:
Microsoft certified Data Engineer. Certifications in Data Visualization or Business Intelligence (e.g., Tableau Desktop Specialist or Power BI certifications).
British Council values and behaviours:
British Council values and behaviours are applicable across our organisation, in all roles and at all levels. They are important because they say what we stand for at the British Council and help us to deliver our strategy. We use them to guide our decision making, as well as guiding how we treat one another and the people we work with. These will be assessed in the selection process. Our values are: Open and Committed; Expert and Inclusive; Optimistic and Bold.
Unit: English & Exams / Product / Delivery and Governance
Work style: hybrid
Pay band: 8
Annual salary range: PLN 192,000 - 252,000 (Poland) £38,000 - £46,000 (UK)
Data Engineering Lead - Value & Analytics employer: British Council
At the British Council, we pride ourselves on being an exceptional employer that fosters a culture of inclusivity and collaboration. As a Data Engineering Lead in the UK or Poland, you will have the opportunity to work at the forefront of data analytics, driving impactful change while enjoying a hybrid work environment that promotes work-life balance. We are committed to your professional growth, offering continuous learning opportunities and a supportive atmosphere where your contributions are valued and recognised.
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