At a Glance
- Tasks: Own and shape a cutting-edge data platform, building scalable systems for global brands.
- Company: Fast-scaling SaaS scale-up redefining business operations with AI-powered solutions.
- Benefits: Competitive salary, equity options, remote-first culture, and clear career growth opportunities.
- Other info: Join a dynamic team with a strong focus on collaboration and innovation.
- Why this job: Make a direct impact on 1,000+ brands while working with innovative technologies.
- Qualifications: Expertise in Python, FastAPI, and GCP required; experience in data engineering is a plus.
The predicted salary is between 100000 - 105000 £ per year.
Get AI-powered advice on this job and more exclusive features. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range: £100,000 - £105,000 + Equity.
My client is a fast-scaling SaaS scale-up that is redefining how global powerhouses operate. Their ML/AI-enabled platform supports over 1,000+ brands worldwide, streamlining business processes like never seen before. With 10× revenue growth in the past year and aggressive expansion across the UK, US, and EU, the company is scaling at pace.
Data is the backbone: from APIs and pipelines to governance and observability, their data platform directly powers customer-facing products and AI-driven insights. They’re now hiring a Senior Data Engineer to own and shape this platform, building scalable, production-grade systems that become the foundation for global brands.
- Greenfield impact – inherit a live but early platform, define best practice across structure, testing, observability, and governance.
- Direct product impact – your APIs, pipelines, and orchestration power the platform that 1,000+ brands rely on every day.
- AI at the core – work on infrastructure that enables machine learning and intelligent decision-making across commerce.
- $50m investment – fueled expansion and innovation, backed by world-class investors.
- Career trajectory – Clear scope to grow into leadership as the data team scales.
- Remote-first culture – flexibility to work from anywhere.
What you’ll be doing:
- API strategy & development – own and scale FastAPI endpoints that deliver real-time access to platform data.
- Data pipeline development – build ingestion and replication pipelines with best-in-class observability, latency, and resilience.
- Platform technical vision – influence architecture and orchestration, shaping how the business handles data at scale.
- Data quality & governance – embed testing, freshness, lineage, and monitoring to ensure reliability and trustworthiness.
- Collaboration – partner with engineers, product managers, and commercial teams to deliver production-grade solutions.
Tech stack and requirements:
- Python – must-have, with production-grade engineering expertise.
- FastAPI – must-have, proven experience building APIs in production.
- Google Cloud Platform (GCP) – must-have, e.g., BigQuery, Cloud Run, and Cloud Storage.
- dbt – strong advantage, with scope to shape best practice.
- Airflow / Composer – highly desirable for orchestration.
- CI/CD – GitHub Actions (or similar).
Location: Central London (1 day a week on-site)
Seniority Level: Mid-Senior level
Employment Type: Full-time
Job Function: Information Technology
Industries: Information Services
Senior Data Engineer in England employer: Identify Solutions
Identify Solutions is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the Microsoft AI Stack. Employees benefit from ongoing professional development opportunities, competitive remuneration, and the chance to work on cutting-edge AI/ML projects in a regulated environment, all while being part of a supportive team dedicated to delivering impactful data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in England
✨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 Identify Solutions!
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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 Data Engineer at Identify Solutions.
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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 Identify Solutions.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Identify Solutions, 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 Data Engineer in England
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 Identify Solutions, 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 Identify Solutions. 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 Identify Solutions
✨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 Identify Solutions!
✨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.
