At a Glance
- Tasks: Join a dynamic team to build and manage analytics data projects from start to finish.
- Company: Leading international FMCG business with a strong focus on data-driven insights.
- Benefits: Competitive salary, full-time role, and opportunities for professional growth.
- Other info: Collaborate globally while working in a supportive UK-based environment.
- Why this job: Shape the future of data analytics in a rapidly growing team.
- Qualifications: Experience in Data Engineering, especially with Snowflake and data modelling.
The predicted salary is between 45000 - 55000 £ per year.
Overview
We are representing a market leading, international FMCG business looking for an Analytics Data Engineer to join their organisation.
The Data & Analytics team currently sits at 10 and is growing rapidly.
You will work closely with the Head of Data Management and a Senior Data Engineer, and you will be the 3rd designated data engineering hire.
Expect to work on end-to-end analytics projects that start at requirement gathering sessions and end with you providing clean, analytics-ready data sets.
You will regularly liaise with internal stakeholders and will need to utilise a blend of internal and 3rd party data sets to uncover the insights they need.
Our client has some well-running data infrastructure with a Snowflake platform at its centre.
They use DBT, Matillion for ETL and Power BI for reporting / dashboarding.
You will work in the UK arm of the business but will work with global data, delivered through a hub & spoke model.
- What we are looking for
- Proven experience in a Data Engineering or Analytics Engineering role
- Expertise in data engineering tools & technologies – particularly Snowflake
- An understanding of data modelling
- Experience in the B2C, Retail or Travel industries would be an advantage
- Good stakeholder management experience, you will be facing off to the business
This is a great opportunity to shape and build-on their strong foundations and to expand the Data and Analytics capability.
- Seniority level
- Mid-Senior level
- Employment type
- Full-time
- Job function
- Information Technology, Analyst, and Engineering
- Industries
- IT Services and IT Consulting, Software Development, and Technology, Information and Media
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London Area, United Kingdom .
Data Engineer employer: TRIA
Tria is an exceptional employer that fosters a dynamic work culture, offering hybrid working arrangements that promote work-life balance. With a strong focus on employee growth and development, Tria provides opportunities for professional advancement while leading transformative projects in the North West. Join a team that values innovation and collaboration, ensuring you play a pivotal role in shaping the future of enterprise infrastructure.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Engineer
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 TRIA, 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 TRIA. 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 TRIA
✨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 TRIA!
✨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.
