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Naimuri Data Engineer

Job in Manchester, Greater Manchester, M9, England, UK
Listing for: QinetiQ Security & Defense Contractors
Full Time, Seasonal/Temporary position
Listed on 2025-12-31
Job specializations:
  • Software Development
    Data Engineer
Job Description & How to Apply Below

Job Title:

Data Engineer

Job Location:

Salford Quays Manchester Job Type: Permanent Full-time

Job

Naimuri is offering the chance to help make the UK a safer place through innovation. We partner with government and law enforcement on some of the most challenging data and technology problems out there and were looking for a Data Engineer to join our mission.

We strongly encourage candidates of all different backgrounds and identities to apply. We are committed to building an inclusive safe and supportive environment that allows everyone to do their best work. We are happy to support any accessibility or neurodiversity requirements that you may need during the recruitment process.

About us

We’ve been around for about ten years and grown from being a little‑known tech start‑up to creating our own community at the heart of Manchester’s thriving tech ecosystem.

The name Naimuri is Japanese and simply means

nai meaning not

muri meaning overburden

This principle guides everything we do from our technology and processes to our people and culture. We empower our teams to do what they think is right giving them the confidence to explore new ways of working and deliver the finest solutions in an agile bias‑free environment.

Our business is focused on 4 cornerstones:
Wellbeing, Empowerment, Perpetual Edge and Delivery.

People and culture are at the heart of Naimuri so that collectively we can realise our mission of making the UK a safer place to be.

About the team

The Data capability team at Naimuri offers a unique opportunity to apply your skills to impactful projects. Its a rapidly growing collaborative and supportive environment where we analyse and investigate data design solutions to exciting data‑driven challenges and make a real difference for our customers. We are passionate about continuous learning and fostering shared expertise within the team.

Data Engineers within our Data capability team are often working on:
  • Analysing customer requirements in long‑term projects and new bid work to uncover opportunities for customers to leverage their data.
  • Engineering and automating resilient scalable data platforms and pipelines using tools like Apache Spark, Apache NiFi and Kubeflow.
  • Working with a variety of data stores including relational (SQL), No

    SQL (Elasticsearch, Mongo

    DB) and Graph Databases (Neo4j).
  • Analysing and modelling complex customer data performing statistical analyses and designing cleansing transformation and normalisation processes.
  • Deploying and managing ML/AI models and environments using frameworks such as Tensor Flow and PyTorch.
  • Writing and supporting high‑quality software solutions in Python to implement data science models, tools and techniques.
  • Leveraging cloud platforms like AWS, Azure and GCP to build and deploy robust data solutions.
About the role

As a Data Engineer you will help maintain our strong reputation for delivering robust solutions by taking a conscientious and scientific approach to customer data challenges. You will use your strong problem‑solving skills to design and develop innovative techniques and tools in an agile manner.

Working collaboratively with other data engineers, data scientists and developers you will be responsible for building the foundational systems and connective tissue that make our data science work possible. A key part of our culture here at Naimuri is continuous improvement via mentoring and supporting earlier‑career colleagues helping to foster a culture of continuous learning and shared expertise across the team.

You

will work closely with customers and internal teams to:
  • Design, build and maintain data ingestion and transformation pipelines.
  • Investigate transform (with provenance) and model customer data performing data cleansing and feature engineering to prepare data for analysis. This may be with tools such as Apache NiFi or libraries such as Pandas (Python).
  • Work with data architects and platform engineers to design and implement secure scalable data storage and processing solutions.
  • Apply statistical methods to analyse customer data using libraries such as Num Py and Sci Py.
  • Identify opportunities to design and build algorithms to transform and interrogate…
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