At a Glance
- Tasks: Design and develop modern data analytics solutions using Power BI and Microsoft Fabric.
- Company: Join a high-growth Microsoft Managed Services Provider with a supportive team culture.
- Benefits: Work from home, private healthcare, monthly WFH allowance, and generous leave for volunteering.
- Other info: Dynamic environment with a focus on learning, development, and career growth.
- Why this job: Make a real impact by unlocking insights and driving data-driven transformation for clients.
- Qualifications: Experience in Power BI, Azure data services, and strong collaboration skills.
The predicted salary is between 56700 - 69300 £ per year.
Core is a high-growth Microsoft Managed Services Provider (MSP) delivering modern technology solutions across Azure, Microsoft 365, Security, and Modern Workplace.
We specialise in providing a wide range of services, solutions and software to optimise our clients’ Microsoft investments.
Our customers trust us to help them unlock productivity, reduce risk, and transform their businesses through technology.
We live by our CORE values
Customers first (we put customers at the heart of what we do and take accountability for our actions),
- One Core
- (we recruit, develop and retain great talent in a supportive team environment),
- Responsive
- (we’re flexible, approachable and responsive to customer needs), and
- Expertise
(we’re proudly professional and continuously strive for excellence for customers, peers and partners).
Job description:
We are seeking a highly skilled and motivated Data Engineer to lead the design, development, and delivery of modern data analytics solutions.
This role combines hands-on technical expertise with strategic thinking, enabling clients to unlock insights and value from their data using Microsoft’s latest analytics stack.
You will work closely with stakeholders to understand business requirements, architect scalable solutions, and guide delivery teams through implementation.
The ideal candidate will have deep experience in Power BI, Microsoft Fabric, and Azure data services, with a passion for innovation, technical expertise with strategic thinking to support data-driven transformation.
Key Responsibilities
- Lead the design and architecture of end-to-end analytics solutions using Power BI and Microsoft Fabric.
- Translate business requirements into scalable data models, lakehouse architectures, and reporting frameworks.
- Develop and optimize Power BI reports, dashboards, and semantic models using DAX and Power Query.
- Implement Fabric components including Data Factory, Lakehouse, Dataflows Gen2, and Notebooks.
- Collaborate with data engineers and business analysts to ensure seamless integration and data quality.
- Support presales activities including solution design, effort estimation, and client presentations.
- Establish and promote best practices in data governance, performance tuning, and Dev Ops for BI.
Required Skills & Experience
Essential
- Proven experience delivering enterprise-grade Power BI solutions.
- Implement robust data transformation and validation processes to ensure accuracy and alignment with business definitions.
- Collaborate with business analysts, data modellers, and reporting teams to ensure the curated data supports deeper insights into corporate performance.
- Optimise data pipelines for scalability, reliability, and maintainability using best practices (e. g., modular ETL design, version control, CI/CD).
- Strong understanding of Microsoft Fabric architecture and components.
- Expertise in Microsoft Fabric Data Engineering Fabric Dataflows / Azure Data Factory.
- Experience with Azure Synapse, Data Lake, SQL, and integration pipelines.
Desirable
- Experience with other low-code or analytics platforms.
- Knowledge of data governance frameworks and security models.
- Microsoft certifications (e. g., Power BI Data Analyst Associate, DP-600).
We offer
- Work from home contract but alternatively, you can also work from our offices (London, Manchester, or Edinburgh).
- Appropriate, modern technology to support the fulfilment of your role.
- Significant focus on Learning + Development, including training courses, seminars, and social events in London.
- Supportive, ambitious and entrepreneurial culture where you'll have the freedom to drive ideas, take ownership and make a real impact.
- Two paid leave days per year to volunteer for causes that resonate with Core's values, such as charitable efforts, environmental initiatives, and supporting the next generation in tech.
- Private healthcare and Employee Assistance Programme (EAP) for mental health and wellbeing.
- Monthly WFH allowance.
- Life Assurance: 5x annual salary.
- Cycle-to-work scheme.
- Catered quarterly & annual social events.
- Travel and accommodation allowance.
Data Engineer in London employer: core
Core is an exceptional employer that prioritises a supportive and ambitious work culture, allowing Senior IT Project Managers to thrive in a fast-paced environment while leading impactful technology projects. With a strong emphasis on employee growth through continuous learning opportunities, modern technology support, and a commitment to work-life balance, Core empowers its team members to take ownership of their roles and make meaningful contributions. Additionally, the unique benefits such as paid volunteer days and a focus on mental health and wellbeing further enhance the rewarding experience of working at Core.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer 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 core!
✨Show Off Your Projects
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✨Apply Directly through Our Website
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We think you need these skills to ace Data Engineer 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 core, 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 core. 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 core
✨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 core!
✨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.
