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Permanent

Big Data Engineer

Cambridge
money-bag Negotiable
9ADDCB4F3A82344AE2B99080E0CE141C
Posted 4 days ago

Overview

Are you passionate about building scalable data systems and tackling complex technical challenges? At

IntelliSense.io , we’re looking for a talented

Software Engineer or Big Data Engineer

(Mid–Senior level) to join our dynamic global team.This is a unique opportunity to apply your skills on

high-impact projects

that power the

Circular Economy for Metals . Our

Scientific AI-powered Decision Intelligence Platform

and Process Optimisation Applications help mining and metals operations stabilise processes, reduce downtime, increase yield, and cut operating costs.We’re not just building technology, we’re creating the

brains behind smarter, more efficient, and sustainable operations.What You’ll Do

Design, build, and maintain

scalable data pipelines

(batch + streaming).Develop

real-time data processing

solutions with

Apache Flink .Build robust ingestion, transformation, and delivery workflows.Collaborate with Data Scientists, DevOps, and Product teams on data-driven solutions.Improve data architecture, monitoring, observability, and governance.Manage schema evolution, data quality, and pipeline resilience.Contribute to documentation, CI/CD processes, and production deployments.What We’re Looking For

Proven experience in

Software Engineering

with a focus on

data systems .Strong knowledge of

Apache Flink

and stream processing (event time, watermarks, windowing).Proficiency in

Java

and

NodeJS

(Python a plus).Solid grasp of

OOP

and

functional programming .Skilled in

SQL , with experience across relational + NoSQL databases.Hands-on with message queues (e.g.,

NATS, Pub/Sub ).Comfortable in

cloud-native environments

(GCP, AWS, Azure) with

Docker/Kubernetes .Understanding of

DevOps, CI/CD, and testing best practices .Excellent communicator, able to work effectively in distributed teams.Degree in Computer Science (or equivalent practical experience).Bonus Points For

Experience with

Spark Structured Streaming, Kafka Streams, Apache Beam .Familiarity with

BigQuery, Redshift, or Snowflake .Knowledge of

Helm, Istio, Jenkins, Terraform .Monitoring and logging with

Prometheus, Grafana .Awareness of

GDPR/CCPA compliance .Why Join Us?

Remote within the UK

– with flexible hours.Work with

cutting-edge technologies

on real-world, global-scale challenges.Join a

collaborative, expert-driven team .Continuous learning culture with opportunities to

grow, lead, and innovate .Location:

Remote (UK only – applications outside the UK cannot be considered).We actively welcome applicants from all backgrounds. You belong here. Let’s build something extraordinary together.

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