At a Glance
- Tasks: Lead the evolution of data architecture and build scalable systems for impactful decision-making.
- Company: Fast-growing tech scale-up focused on innovative data solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Join a high-performance culture with exciting career advancement opportunities.
- Why this job: Shape the future of data strategy in a dynamic, collaborative environment.
- Qualifications: 6+ years in data engineering with strong Python skills and cloud tool expertise.
The predicted salary is between 72000 - 88000 £ per year.
An exciting opportunity has opened up with a rapidly scaling tech company that's investing heavily in its data infrastructure. They are seeking an experienced Data Engineer to take the lead on evolving their architecture while collaborating closely with senior leadership to shape the long-term data strategy. This role is perfect for someone who enjoys building from the ground up developing scalable systems, writing production-ready code, and playing a key role in data-driven decision-making across the business.
Role Highlights
- Spearheading the evolution of the company's data platform as it scales beyond MVP
- Building and maintaining scalable data pipelines using Python, Java, Spark, SQL, and more
- Partnering with cross-functional teams (Product, Finance, Ops, Customer Success) to deliver actionable insights and reliable data solutions
- Designing data models, streaming systems, and transformation workflows
- Involved in technical hiring and mentoring, contributing to a high-performance engineering culture
What They're Looking For
- 6+ years of hands-on experience in data engineering, ideally within fast-moving or finance-oriented environments
- Proficiency in Python (preferred), with experience in other languages like Java, Scala, or TypeScript
- Strong knowledge of cloud-based big data tools (AWS, Spark, EMR, Lambda, etc.)
- Excellent communication and problem-solving skills, with a collaborative mindset
- A passion for supporting SMEs through innovative, data-led technology
- Background in top-tier financial or analytics-driven companies is a plus
Tech Environment Includes
- TypeScript (React.js / Node.js)
- Python & Java
- AWS Cloud Infrastructure
- Modular Monolith Architecture
- Big Data Tools (Spark, EMR, Lambda)
Data Engineer employer: BlackTide Partners
Join an innovative EdTech start-up that is revolutionising children's education through an AI-driven platform. As a Remote Python Engineer, you'll enjoy the flexibility of working from anywhere in the UK while being part of a passionate team dedicated to making a meaningful impact. With competitive compensation, equity options, and ample opportunities for personal and professional growth, this company offers a supportive work culture that values collaboration and innovation.
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 BlackTide Partners!
✨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 BlackTide Partners.
✨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 BlackTide Partners.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at BlackTide Partners, 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 BlackTide Partners, 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 BlackTide Partners. 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 BlackTide Partners
✨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 BlackTide Partners!
✨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.
