At a Glance
- Tasks: Lead data engineering projects and create impactful dashboards for strategic decision-making.
- Company: Join a leading international organisation focused on education and global collaboration.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovation and collaboration across teams.
- Why this job: Make a real difference by transforming data into actionable insights for leadership.
- Qualifications: Strong experience in data engineering, Power BI, and cloud technologies required.
The predicted salary is between 38000 - 46000 £ per year.
A leading international organisation specialising in education, cultural relations and global collaboration is looking for a Data Engineering Lead to join its Value Management function.
You will build the technical infrastructure that provides visibility of portfolio performance, strategic value and benefits realisation across a complex global organisation. Taking ownership of the data engineering and analytics capabilities behind the organisation's Value Dashboard, you will integrate financial, project and operational information into a consistent and automated view of performance.
Working with senior stakeholders across Digital and Technology, Finance, Portfolio Management and executive leadership, you will turn fragmented data into reliable evidence that supports investment, prioritisation and resource decisions.
The Role
You will provide the technical engine for the Value Management Office, designing and maintaining the pipelines, models and dashboards used to track portfolio performance, benefits realisation and strategic return on investment.
While portfolio and strategy teams define what value should be measured, you will own how the information is captured, integrated, automated and presented to leadership and board-level audiences.
Key Responsibilities
- Design and implement automated data pipelines connecting operational, financial and project management systems, including Jira, Azure DevOps and SAP
- Build and maintain executive dashboards using Power BI, Microsoft Fabric, Tableau or similar tools
- Visualise objectives, OKRs, KPIs, benefits and actual versus forecast return on investment
- Develop scalable data models that connect portfolio activity and project outputs to strategic objectives
- Create a trusted single source of truth for prioritisation, investment decisions and resource allocation
- Engineer automated alerts and reporting to identify declining value or performance
- Translate business-case and benefits metrics into reliable technical data models
- Manage the analytics engineering lifecycle from ingestion and ETL or ELT through to front-end visualisation
- Define technical standards for value-tracking tools, data models and performance analytics
- Ensure leadership reporting is accurate, auditable, secure and compliant with governance requirements
- Promote data transparency and access to trusted performance information
- Connect information from fragmented business units and systems while maintaining consistent definitions and metadata
- Work with Portfolio, Product and Finance teams to improve the quality and automation of value reporting
- Design solutions that scale as organisational priorities, portfolio structures and reporting requirements change
- Maintain documentation covering data lineage, models, interfaces, controls and reporting standards
Essential Experience
- Strong experience in data modelling, solution design, metadata management, coding, testing and delivering data engineering solutions
- Advanced Power BI and/or Microsoft Fabric experience creating executive-level dashboards
- Experience with ETL or ELT tools, scripting, data warehouses and data lakes
- Experience integrating fragmented data from operational, financial and project management systems
- Experience supporting major digital transformation or change programmes across multiple technology domains
- Strong cloud knowledge across Azure, AWS, SaaS, IaaS or PaaS environments
- Understanding of cyber security, data governance and regulatory requirements
- Strong business systems analysis skills and the ability to connect technical data to financial and strategic value
- Ability to present complex data through intuitive dashboards for non-technical senior stakeholders
- Excellent written and verbal communication skills
- Fluency in English
Desirable Experience
- Experience within a Value Management Office, PMO or strategy-led data function
- Experience in financial modelling, benefits realisation or commercial performance analytics
- Previous line management experience
- Experience within a large, international or highly complex organisation
- Microsoft Fabric, Power BI, Tableau, data engineering or related professional certification
- Degree or equivalent experience in Computer Science, Information Technology, Data Engineering or a related discipline
- Experience designing solutions in complex environments where data is distributed across multiple business units
- Ability to lead technical discussions, challenge assumptions and recommend pragmatic engineering approaches
Important Information
- Applicants must be a UK resident
- Applicants must have the unrestricted right to work in the UK
- No visa sponsorship is available for this role
- This position is offered on a hybrid basis, with no fully remote option
- A regular physical presence in the office is required for the success of the role
- The exact hybrid working pattern may vary depending on the selected office location
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Lead (Permanent) in Slough
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We think you need these skills to ace Data Engineering Lead (Permanent) in Slough
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Salt, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Salt. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Salt
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
