At a Glance
- Tasks: Lead the evolution of data architecture and build scalable systems.
- Company: Rapidly growing tech scale-up focused on data infrastructure.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and mentorship.
- Why this job: Shape the future of data strategy and make impactful decisions.
- Qualifications: 6+ years in data engineering with strong Python skills.
The predicted salary is between 70000 - 90000 £ per year.
An exciting opportunity has opened up with a rapidly scaling tech company that is 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 in London employer: BlackTide Partners
Join a dynamic and rapidly growing tech scale-up that prioritises innovation and collaboration, making it an exceptional employer for Data Engineers. With a strong focus on employee growth, you will have the opportunity to shape the company's data strategy while working in a supportive environment that values your contributions. Enjoy a culture that encourages hands-on involvement, mentorship, and the chance to work with cutting-edge technologies in a vibrant location.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work in data engineering. A friendly chat can lead to insider info about job openings or even referrals that could give you a leg up.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects and contributions in data engineering. Whether it's a GitHub repo or a personal website, having tangible evidence of your expertise can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and problem-solving abilities. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in previous roles. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right role that matches your skills and aspirations. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, cloud-based tools, and any relevant projects that showcase your skills in building scalable systems.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our mission at StudySmarter. Keep it concise but impactful!
Showcase Your Problem-Solving Skills:In your application, don’t forget to mention specific examples where you've tackled complex data challenges. We love seeing how you approach problems and come up with innovative solutions!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with our growing team!
How to prepare for a job interview at BlackTide Partners
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and AWS. Brush up on your knowledge of big data tools like Spark and EMR, as you might be asked to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering and how you overcame them. This role requires excellent problem-solving skills, so demonstrating your thought process will impress the interviewers.
✨Collaborate and Communicate
Since this position involves working with cross-functional teams, be ready to discuss how you’ve successfully collaborated with other departments in previous roles. Highlight your communication skills and how they’ve helped you deliver actionable insights.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and future projects. This shows your genuine interest in the role and helps you understand how you can contribute to their goals, making you a more attractive candidate.
