At a Glance
- Tasks: Build data solutions and reporting for major projects using Azure, SQL, and Power BI.
- Company: Thriving consultancy working with large companies on impactful infrastructure projects.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic environment with client-facing opportunities and career advancement.
- Why this job: Join a hands-on role that combines data engineering and analytics to make a real difference.
- Qualifications: Proficiency in Azure, SQL, Python, and strong Power BI skills required.
The predicted salary is between 70000 - 85000 £ per year.
We're recruiting a Senior Data & Analytics Engineer with strong Power BI and Azure data platform skills.
This is for a thriving consultancy who work with large companies on major capital projects, infrastructure programmes, and defence, to build data and reporting solutions from end to end.
This is a hands-on role where you'll be client facing, combining data engineering, analytics and project controls data.
You'll work with cost, schedule, risk and change data, building reliable pipelines and models using Azure, SQL and Power BI that turn complex programme information into trusted reporting.
As a Senior Data & Analytics Engineer, you'll take solutions from initial reporting requirements through to production, working directly with project stakeholders and handling data from APIs, spreadsheets, planning systems and other programme sources, so you must be happy working with messy and unstructured data and be confident with this!
What we're looking for
- Strong proficiency with Azure Data Services, SQL and Python
- Strong Power BI experience is essential
- Strong stakeholder and client-facing experience is needed
- Dimensional modelling and data warehouse/lakehouse experience
- Experience building data pipelines and reporting solutions
- Project controls or major capital programme experience, ideally working with cost, schedule, risk, change or forecasting data is a bonus.
- Experience with Primavera P6 and / or NEC project data is desirable but not essential.
This Senior Data & Analytics Engineer position is permanent and offers a salary of £70,000 – £85,000, with 2-3 days on site in Warrington (flexible).
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Analytics Engineer - Project Controls in Warrington employer: IT Recruitment Solutions
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StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer - Project Controls in Warrington
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We think you need these skills to ace Analytics Engineer - Project Controls in Warrington
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 IT Recruitment Solutions, 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 IT Recruitment Solutions. 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 IT Recruitment Solutions
✨Brush Up on Your Statistics
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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.
