At a Glance
- Tasks: Design and optimise data pipelines, ensuring data quality and performance.
- Company: Established, data-driven business with a high-impact team.
- Benefits: Competitive contract rate, hybrid work model, and potential for extension.
- Other info: Join a lean team and influence technical direction in a dynamic environment.
- Why this job: Take ownership of critical data platforms and solve complex engineering challenges.
- Qualifications: 8+ years in Data Engineering, strong GCP and BigQuery expertise.
The predicted salary is between 59400 - 72600 £ per year.
We're working with an established, data-driven business looking for a Senior Data Engineer to join a small, high-impact data team. This is an opportunity for a hands-on technical specialist to take ownership of a critical data platform, improving existing infrastructure while building scalable foundations for the future.
This role is ideal for someone who enjoys solving complex data engineering challenges, has strong opinions on best practice, and is comfortable working independently while partnering closely with business stakeholders.
What you'll be doing:
- Design, build and optimise end-to-end data pipelines into Google BigQuery
- Integrate data from CRM and digital marketing platforms, including HubSpot, Google Ads, Meta Ads, Microsoft Ads and LinkedIn Ads
- Improve the reliability, scalability and performance of existing data infrastructure
- Own data quality, monitoring, alerting, documentation and pipeline governance
- Reduce technical debt and establish engineering best practices that will support future growth
- Work closely with analytics, marketing and business stakeholders to ensure data is accurate, trusted and fit for reporting
- Make recommendations on architecture, tooling and implementation where appropriate, working within a pragmatic budget
What we're looking for:
- 8+ years of hands-on Data Engineering experience
- Strong expertise with Google Cloud Platform (GCP) and BigQuery
- Proven experience building end-to-end batch data pipelines from scratch
- Experience integrating APIs from marketing and CRM platforms
- Strong understanding of data modelling, pipeline reliability and data quality
- Experience implementing monitoring, alerting and documentation standards
- Comfortable working as a senior individual contributor in a lean team
- Someone who enjoys owning solutions, challenging ideas and influencing technical direction
Nice to have:
- Experience working with GA4 data
- Exposure to Cloud Functions or other GCP services
- Understanding of digital marketing data and attribution models
IC Data Engineer in London employer: All The Top Bananas
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StudySmarter Expert Advice🤫
We think this is how you could land IC Data Engineer in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like All The Top Bananas before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like All The Top Bananas.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like All The Top Bananas.
We think you need these skills to ace IC Data Engineer in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at All The Top Bananas, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to All The Top Bananas, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab All The Top Bananas’s attention and show the tangible impact of your work.
How to prepare for a job interview at All The Top Bananas
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at All The Top Bananas.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at All The Top Bananas.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at All The Top Bananas.
