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- Tasks: Lead backend infrastructure for our B2B lead intelligence platform and manage data pipelines.
- Company: Join Instantly.ai, a top AI-driven sales outreach platform powering 35K+ B2B companies.
- Benefits: Enjoy a fast-paced startup environment with autonomy and impactful work.
- Why this job: Be part of a high-growth team where your contributions directly influence success.
- Qualifications: Experience in AWS, Elasticsearch, Python, and data engineering is essential.
- Other info: Collaborate with talented developers and seasoned operators in a dynamic culture.
The predicted salary is between 36000 - 60000 £ per year.
About Instantly.ai: Instantly.ai is a leading AI-driven sales outreach and lead intelligence platform, powering over 35K B2B companies.
The Role: We’re hiring a Data Engineer to lead the backend infrastructure of SuperSearch, our B2B lead intelligence platform. You will own and maintain large-scale data pipelines using AWS Glue (PySpark), S3, Elasticsearch, and MongoDB. This role is central to improving how users search, filter, and find leads, applying everything from algorithm tuning to semantic enhancements with LLMs and embeddings. You’ll have full ownership of a critical system in a fast-moving and high-growth startup environment.
Responsibilities:
- Own and maintain our data processing pipelines using AWS Glue (PySpark) and S3
- Work with large-scale datasets stored in Elasticsearch and MongoDB
- Build robust data transformation, cleaning, and normalization workflows
- Improve the performance and relevance of our search system through algorithmic tuning and semantic enhancements (e.g. LLMs, DeepL, embeddings)
Must-Have Skills:
- Solid experience with data engineering on AWS (Glue, S3)
- Strong knowledge of Elasticsearch (query design, aggregations, performance tuning...)
- Proficiency in Python, especially in data wrangling (PySpark, Pandas)
- Experience with data quality, schema evolution, and operational monitoring
- Familiarity with LLMs, embeddings, or search ranking improvements is a plus
- Backend development skills with Node.js or general JavaScript knowledge would be advantageous
Why Instantly.ai?
- High-growth environment: join us on the path to unicorn status.
- Impact & autonomy: you’ll own a marquee area critical to our success. No slow processes of big enterprise companies. We move fast like a young lean startup.
- Collaborative culture: work with top developers and seasoned operators.
Apply now and we’ll be in touch shortly.
Data Engineer employer: Instantly.ai
Contact Detail:
Instantly.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with AWS Glue and S3 by working on personal projects or contributing to open-source initiatives. This hands-on experience will not only boost your confidence but also demonstrate your practical skills during discussions.
✨Tip Number 2
Dive deep into Elasticsearch by creating sample queries and aggregations. Understanding how to optimise performance will give you an edge, especially when discussing your approach to improving search systems in the interview.
✨Tip Number 3
Stay updated on the latest trends in data engineering and AI, particularly around LLMs and embeddings. Being able to discuss recent advancements and their applications can set you apart as a knowledgeable candidate.
✨Tip Number 4
Network with current data engineers or professionals in similar roles through platforms like LinkedIn. Engaging in conversations about their experiences at Instantly.ai can provide valuable insights and potentially lead to referrals.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Engineer position at Instantly.ai. Familiarise yourself with the technologies mentioned, such as AWS Glue, Elasticsearch, and Python.
Tailor Your CV: Customise your CV to highlight relevant experience in data engineering, particularly with AWS services and data processing. Emphasise any projects or roles where you've worked with large-scale datasets or improved search systems.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the role. Mention specific skills that align with the job description, such as your experience with algorithm tuning or familiarity with LLMs.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Instantly.ai
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AWS Glue, S3, and Elasticsearch in detail. Highlight specific projects where you've successfully built data pipelines or improved search systems, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Product
Familiarise yourself with Instantly.ai's B2B lead intelligence platform. Understanding how their SuperSearch works and the challenges they face will allow you to tailor your answers and show genuine interest in the role.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities, especially related to data transformation and algorithm tuning. Practise explaining your thought process clearly, as this will showcase your analytical skills.
✨Emphasise Collaboration and Autonomy
Since the role involves working in a collaborative culture, be ready to discuss how you've worked effectively in teams. Also, highlight instances where you've taken ownership of projects, as this aligns with the company's emphasis on impact and autonomy.
