At a Glance
- Tasks: Build the data backbone of a cutting-edge market intelligence platform.
- Company: Join Today Digital, a leader in innovative data solutions.
- Benefits: Enjoy a 4-day work week, private healthcare, and wellness perks.
- Other info: Dynamic team environment with opportunities for career advancement.
- Why this job: Transform raw data into impactful insights and grow your skills.
- Qualifications: Recent graduate with strong SQL skills and a passion for data.
The predicted salary is between 25000 - 30000 £ per year.
Techtelligence is Today Digital’s next-generation market intelligence platform, designed to turn first-party editorial data, behavioural signals, intent data, and expert insight into practical intelligence for technology buyers and vendors. The platform underpins UC Today, CX Today, and Today Digital’s emerging data and research products — including insight reports, buyer intelligence, dashboards, surveys, and commercial intelligence offerings.
Role Overview
You will help build the data backbone of Techtelligence. This role sits at the intersection of data engineering and analytics engineering — transforming raw datasets into structured, production-ready intelligence assets. You will work directly on BigQuery architecture, curated data models, and transformation logic.
What You’ll Be Doing
- Data Modelling
- Build curated transformation tables
- Standardise schemas
- Create reusable SQL views
- Implement snapshot logic for trend tracking
- Pipeline Support
- Improve ingestion processes
- Help structure API imports
- Support version-controlled SQL workflows
- Platform Development
- Help implement dbt or structured transformation frameworks
- Build logic for topic scoring and intent modelling
- Contribute to Signals Index development
What We’re Looking For
- Recent graduate (Computer Science / Data Engineering / Software Engineering)
- Strong SQL fundamentals
- Understanding of data warehousing concepts
- Experience with Git
- Comfortable learning GCP / BigQuery
- Has built a project beyond coursework (portfolio matters)
- Bonus: dbt exposure
- Python basics
- Experience with APIs
JOB DETAILS
- Remuneration: £25,000 – £30,000
- 4-Day Work Week: We’re a Monday-Thursday business!
- Work Perks: Private Healthcare, Wellness Program, Rewards and Discounts + more
- Location: In-Office (Ancoats, Manchester, UK)
- Contract Type: Full-time
- Start Date: Immediate
Graduate Platform Data Engineer in Manchester employer: Todaydigital
Today Digital is an exceptional employer, offering a dynamic work culture that fosters creativity and collaboration in the heart of Manchester's Ancoats. With a competitive remuneration package, a 4-day work week, and comprehensive benefits including private healthcare and wellness programmes, employees are empowered to thrive both personally and professionally. This role provides invaluable hands-on experience in product marketing, with ample opportunities for growth and learning alongside industry experts, making it an ideal environment for ambitious graduates eager to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Platform Data Engineer in Manchester
✨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 Todaydigital!
✨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 Graduate Platform Data Engineer at Todaydigital.
✨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 Todaydigital.
✨Apply Directly through Our Website
When you find a suitable opening like Graduate Platform Data Engineer at Todaydigital, 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 Graduate Platform Data Engineer in Manchester
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 Todaydigital, 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 Todaydigital. 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 Todaydigital
✨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 Todaydigital!
✨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.
