At a Glance
- Tasks: Lead the development of enterprise-wide data solutions and transform complex datasets into insights.
- Company: Join a dynamic organisation at the forefront of data engineering and analytics.
- Benefits: Up to £46,000 salary, bonus, exceptional benefits, and hybrid working.
- Other info: Opportunity for career growth in a collaborative environment with a focus on innovation.
- Why this job: Make a real impact by driving data-driven decision-making across the organisation.
- Qualifications: Experience in data engineering, strong skills in Power BI, and a relevant degree.
The predicted salary is between 46000 - 46000 £ per year.
Job Description
Data Engineering Lead - Up to £46,000 + Bonus + Exceptional Benefits (Civil Service Pension) + Hybrid (Stratford, London)
We're looking for a Data Engineering Lead who thrives at the intersection of data, technology, and business strategy.
This is an exciting opportunity to lead the development of enterprise-wide data solutions that provide clear visibility of performance, value delivery, and strategic outcomes.
Working with senior stakeholders across technology, finance, product, and portfolio teams, you'll transform complex and fragmented datasets into meaningful insights that enable better decision-making across the organisation.
If you're passionate about modern data platforms, analytics engineering, and delivering business impact through data, we'd love to hear from you.
- What You'll Be Doing
- Design and build scalable data pipelines that integrate data from operational, financial, and project delivery platforms.
- Develop robust ETL/ELT processes and data models to support performance reporting, benefit tracking, and strategic analytics.
- Create and maintain executive-level dashboards using Power BI, Microsoft Fabric, Tableau, or similar technologies.
- Build automated monitoring and alerting solutions to identify performance risks, trends, and opportunities.
- Establish a trusted, organisation-wide source of data to support prioritisation, planning, and investment decisions.
- Work closely with business, technology, finance, and portfolio stakeholders to translate complex requirements into scalable data solutions.
- Champion data governance, quality, security, and compliance best practices.
- Drive continuous improvement in reporting, analytics, and data engineering capabilities.
What We're Looking For
- Proven experience delivering enterprise-scale data engineering solutions.
- Strong background in data modelling, metadata management, development, testing, and deployment.
- Advanced Power BI and/or Microsoft Fabric expertise, including executive dashboard creation.
- Experience building and maintaining data warehouses, data lakes, and modern analytics platforms.
- Strong knowledge of ETL/ELT frameworks and cloud technologies including Azure and/or AWS.
- Experience supporting large-scale digital transformation programmes.
- Understanding of cyber security principles and regulatory requirements.
- Excellent stakeholder engagement and communication skills, with the ability to present technical concepts to senior non-technical audiences.
Desirable Experience
- Experience within PMO, portfolio management, strategy, or value management environments.
- Financial modelling, commercial analytics, or benefits realisation experience.
- Previous team leadership or line management experience.
- Microsoft Fabric Analytics Engineer Associate, Power BI, or other relevant BI certifications.
- Tableau experience.
Qualifications
- Degree in Computer Science, Information Technology, Data Engineering, or a related field.
- Microsoft Data Engineering certification (or equivalent).
- Additional Business Intelligence or Data Visualisation certifications are advantageous.
Data Engineering Lead - Up to £46,000 + Bonus + Exceptional Benefits (Civil Service Pension) + Hybrid (Stratford, London)
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Lead in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like IntecSelect!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineering Lead at IntecSelect.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like IntecSelect.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineering Lead at IntecSelect, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineering Lead in London
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at IntecSelect, 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 IntecSelect. 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 IntecSelect
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at IntecSelect!
✨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.
