At a Glance
- Tasks: Build AI-enabled data products and create data pipelines for actionable insights.
- Company: Join a global tech leader focused on data and analytics innovation.
- Benefits: Competitive salary up to £65,000 plus annual bonus and growth opportunities.
- Other info: Dynamic team environment with exciting technical challenges.
- Why this job: Take ownership of projects and influence the future of data intelligence.
- Qualifications: Experience in data engineering, Python, SQL, and cloud services.
The predicted salary is between 63000 - 77000 £ per year.
Build modern, AI-enabled data products with real ownership in a growing technology intelligence environment.
Package: Up to £65,000 + discretionary annual bonus of up to 5% after 12 months.
The Role
We are hiring a Data Engineer to join a growing Data & BI function within an established international technology-focused business. You will help build and improve a modern cloud data estate and a developing intelligence platform, creating the pipelines, integrations, and data products that turn raw information into commercially useful insight.
Key responsibilities include:
- Building and maintaining end-to-end data pipelines, integrations and orchestration workflows
- Developing and improving a BigQuery-based data warehouse
- Writing Python services and scripts for ingestion, transformation, validation and automation
- Bringing together data from APIs, internal systems, spreadsheets and external providers
- Supporting AI/LLM-enabled workflows for classification, enrichment, extraction and summarisation
- Improving data quality, reliability, documentation, performance and security
- Working closely with analysts, product, sales and commercial stakeholders
The Company
This is an opportunity to join an established international B2B business investing heavily in data, analytics and intelligence products. The environment combines the backing of a successful global organisation with the pace and ownership of a team building new data products. You will have varied technical challenges, visible work and the chance to influence how the function develops.
The Person
You will be a proactive Data Engineer who enjoys solving practical problems and can communicate clearly with non-technical colleagues. You will ideally have:
- Strong data-engineering experience across ingestion, transformation, modelling and pipeline development
- Practical GCP experience, particularly BigQuery
- Strong Python and SQL capability
- Experience with orchestration, scheduling and cloud-based data services
- Exposure to Cloud Run, Dataform, dbt, Fivetran, Docker, Git and CI/CD
- Experience or interest in AI/LLM-enabled data workflows, particularly with unstructured data
- A clear, confident communication style and the ability to explain technical decisions
- The hunger to take ownership quickly rather than wait for a perfectly defined brief
Google Cloud certification would be useful but is not essential. Practical GCP experience, sound judgement and the ability to discuss real examples will matter more.
Data Engineer employer: Caselton Clark
At Caselton Clark, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters creativity and collaboration in the heart of Greater London. Our team enjoys unparalleled opportunities for professional growth, with a focus on innovation and leadership in the B2B event space, making it a truly rewarding environment for those passionate about producing impactful conferences.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨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 Caselton Clark!
✨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 Data Engineer at Caselton Clark.
✨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 Caselton Clark.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Caselton Clark, 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 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 Caselton Clark, 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 Caselton Clark. 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 Caselton Clark
✨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 Caselton Clark!
✨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.
