At a Glance
- Tasks: Design and build data models while ensuring top-notch data quality for AI systems.
- Company: Join a leading tech firm backed by major logistics funding in Europe.
- Benefits: Competitive salary, equity options, private health cover, and generous holiday allowance.
- Other info: Dynamic team environment with opportunities for professional growth and development.
- Why this job: Be at the forefront of data innovation and impact last mile delivery operations.
- Qualifications: 5+ years in analytics engineering with strong SQL and Python skills.
The predicted salary is between 100000 - 130000 £ per year.
About the Company
We're working with a tech business backed by one of Europe's largest logistics funding rounds to find a Senior Analytics Engineer to join their team in London.
About the Role
You'll sit within their biggest and most data-rich squad, focused on last mile delivery operations. Day to day you'll be designing and building foundational data models, driving data quality across the platform, and playing a key role in the data layer that powers a growing set of agentic AI systems.
Responsibilities
- Designing and building foundational data models
- Driving data quality across the platform
- Playing a key role in the data layer that powers a growing set of agentic AI systems
Qualifications
- 5+ years in an analytics engineering, data engineering or analytics role
Required Skills
- Strong SQL across BigQuery and PostgreSQL
- Solid dbt experience, building and maintaining scalable, reliable DAGs
- Python proficiency for scripting, automation and data manipulation
- Experience with BI tools such as Tableau or Looker
- Strong communication skills and confidence working with non-technical stakeholders
- Familiarity with AI tools to accelerate your own workflow
Preferred Skills
- Dagster or Airflow experience is a nice to have
- Any exposure to ML workflows or real-time pipelines
Pay range and compensation package
£100,000 to £130,000 base salary plus equity, with annual top-ups. Private health and dental cover. 25 days holiday plus enhanced parental leave, 4 days on-site, 1 remote.
Equal Opportunity Statement
If this sounds like a fit, drop me a message and I can share more details.
Senior Analytics Engineer in Slough employer: Xcede
Join a forward-thinking tech company in London that is at the forefront of logistics innovation, offering a dynamic work environment where data-driven decisions shape the future. With a strong emphasis on employee growth, you will have access to cutting-edge tools and technologies, alongside generous benefits such as private health cover, equity options, and a supportive culture that values work-life balance. This role not only allows you to enhance your technical skills but also positions you within a collaborative team that is passionate about leveraging data to drive impactful solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer in Slough
✨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 Xcede!
✨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 Senior Analytics Engineer at Xcede.
✨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 Xcede.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Analytics Engineer at Xcede, 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 Senior Analytics Engineer in Slough
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 Xcede, 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 Xcede. 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 Xcede
✨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 Xcede!
✨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.
