This is a high-impact Senior Data Engineering role focused on building secure, scalable data platforms from scratch.
You’ll be working with complex, high-volume technical datasets, designing modern pipelines and enabling advanced analytics and ML workflows.
What You’ll Be Doing:
* Engineering scalable data platforms across cloud environments (AWS / Azure / GCP)
* Working with high-volume, complex datasets (streaming, telemetry, structured + unstructured)
* Developing automation, tooling, and data services to unlock insights
* Supporting ML workflows and data science pipelines
* Collaborating with Data Scientists, DevOps, and Engineering teams
* Evaluating and implementing modern data technologies
* Leading small technical workstreams and mentoring engineers
Core Tech Stack:
* Python, SQL
* ETL / ELT pipelines & orchestration tools
* SQL & NoSQL databases
* APIs & containerisation (Docker)
Nice to Have:
* Big data tools (Spark, Hadoop, NiFi)
* Infrastructure as Code (Terraform, Ansible)
* Onsite – Reading
* SC Cleared
* 6-Months Initial Contract
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