Senior Data Engineer - Real time analytics

Senior Data Engineer - Real time analytics

Full-Time 70000 - 85000 £ / year (est.) Home office (partial)
United States Digital Space LLC

At a Glance

  • Tasks: Build real-time analytics features for 22,000+ global customers using cutting-edge data technologies.
  • Company: Join a unicorn AI-powered platform redefining customer communications worldwide.
  • Benefits: Competitive salary, health coverage, work-life balance, and a vibrant multicultural team.
  • Other info: Embrace diversity and inclusion in a collaborative workspace with 45+ nationalities.
  • Why this job: Make a real impact in a fast-paced environment with opportunities for growth and innovation.
  • Qualifications: 3+ years in near real-time analytics and proficiency in Scala, Python, or similar languages.

The predicted salary is between 70000 - 85000 £ per year.

The company is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.

Our momentum comes from a simple idea: help teams work smarter, not harder. The company’s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.

The company is headquartered in Paris, with a strong North American presence anchored in Seattle, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We’ve built a product customers love and a business that’s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.

We are looking for an engaged and passionate Senior Data Engineer to join our growing Engineering Team. In this role, you will be a key member of the team managing our analytics and event platform stack. As part of the Analytics & Data Platform team, you will build features for over 22,000 customers across the globe. Your work will unlock the value of data, empowering our customers to make informed decisions through real-time insights, monitoring, and comprehensive analytical reports.

Your role at the company:

  • Have key responsibilities within the requirements analysis, scalable & low latency streaming platform solution design, architecture, and end-to-end delivery of key modules in order to provide near real-time data solutions for our product.
  • Analyze and translate business needs into data model & optimize for big data.
  • Identify slow queries and optimize for better performance.
  • Write clean scalable code using Scala / Python / SQL and test and deploy applications and systems.
  • Solve our most challenging data problems, in near real-time, utilizing optimal data architectures, frameworks, query techniques, sourcing from structured and unstructured data sources.
  • Be part of an engineering organization delivering high quality, secure, and scalable solutions to the company clients.
  • Involvement in product and platform performance optimization and live site monitoring.
  • Mentor team members through giving and receiving actionable feedback.

Our tech stack:

  • AWS (Kinesis, Kafka, S3, DMS, Glue, EMR, EKS, Redshift, Spectrum)
  • Apache Pinot, Apache Flink and Airflow
  • A continuous deployment process based on GitLab

A little more about you:

  • A Bachelor's degree in a technical field (e.g. computer science or mathematics).
  • 3+ years experience with near real-time analytics.
  • 5+ years experience with a modern programming language such as Scala, Python, Go, Typescript.
  • Experience of designing complex data processing pipeline.
  • Experience of data modeling (star schema, dimensional modeling etc) in AWS Redshift.
  • Experience of query optimisation.
  • Experience of Kafka is a plus.
  • Shipping and maintaining code in production.
  • You like sharing your ideas, and you're open-minded.

Why join us?

  • Key moment to join the company in terms of growth and opportunities.
  • Our people matter, work-life balance is important at the company.
  • Fast-learning environment, entrepreneurial and strong team spirit.
  • 45+ Nationalities: cosmopolite & multi-cultural mindset.
  • Competitive salary package & benefits (health coverage, lunch, commute, sports).

DE&I Statement:

At the company, we believe diversity, equity and inclusion, irrespective of origins, identity, background and orientations, are core to our journey. We promote active inclusion to foster a strong sense of belonging which is one of our main strengths as a business. We strive to assemble diverse people that can enrich and learn from each other. We pledge to make sure everyone not only has a seat at the table but is valued at the table -- providing equal opportunities to develop and thrive.

Senior Data Engineer - Real time analytics employer: United States Digital Space LLC

United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.

United States Digital Space LLC

Contact Details:

United States Digital Space LLC Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer - Real time analytics

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We think you need these skills to ace Senior Data Engineer - Real time analytics

Real-time Analytics
Data Modeling
Big Data Optimization
Scala
Python
SQL
AWS (Kinesis, Kafka, S3, DMS, Glue, EMR, EKS, Redshift)

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Get Comfortable with Python and R

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