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- Tasks: Lead backend infrastructure for our B2B lead intelligence platform and manage data pipelines.
- Company: Instantly.ai is a top AI-driven sales outreach platform serving over 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, owning critical systems and driving innovation.
- Qualifications: Experience in AWS data engineering, Elasticsearch, and Python required; familiarity with LLMs is a plus.
- Other info: Join us on our journey to unicorn status and collaborate with top talent.
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
Engage with the data engineering community online, particularly around Elasticsearch and PySpark. Join forums, attend webinars, or participate in relevant meetups to network and learn from others in the field.
✨Tip Number 3
Showcase your understanding of algorithm tuning and semantic enhancements by sharing insights or projects on platforms like GitHub. This can serve as a conversation starter during interviews and highlight your expertise.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges that focus on data manipulation and pipeline construction. Websites like LeetCode or HackerRank can be great resources to sharpen your skills.
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 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 or maintained data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills, especially related to data transformation and cleaning. Prepare examples of how you've improved data quality or performance in previous roles, focusing on algorithm tuning and semantic enhancements.
✨Familiarise Yourself with LLMs and Embeddings
Since familiarity with LLMs and embeddings is a plus, brush up on these concepts before the interview. Be ready to discuss how they can enhance search relevance and performance, and think of ways you could apply them in the role.
✨Emphasise Collaboration and Autonomy
Instantly.ai values a collaborative culture and autonomy. Share experiences where you've worked effectively in a team while also taking ownership of your projects. This will demonstrate that you're a good fit for their fast-paced environment.
