Data Engineer

Naimuri, Manchester, England, United Kingdom

Naimuri is offering the chance to help make the UK a safer place through innovation. We partner with government and law enforcement on challenging data and technology problems, and we’re looking for a Data Engineer to join our mission. We strongly encourage candidates of all backgrounds to apply. We are committed to an inclusive, safe, and supportive environment and will support accessibility or neurodiversity requirements during the recruitment process.

We’ve been around for about ten years and have grown from a tech start-up to a presence within Manchester’s thriving tech ecosystem. The name Naimuri is Japanese and simply means… This principle guides everything we do, from technology and processes to people and culture. We empower teams to do what they think is right and to explore new ways of working in an agile, bias-free environment. Our four cornerstones are: Wellbeing, Empowerment, Perpetual Edge, and Delivery. People and culture are central to our mission of ‘making the UK a safer place to be’.

The Data capability team offers opportunities to apply your skills to impactful projects in a rapidly growing, collaborative, and supportive environment. We analyse and investigate data, design data-driven solutions, and foster continuous learning and shared expertise within the team. Data Engineers in the team work on a range of data-focused activities.

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• Analyzing 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 such as Apache Spark, Apache NiFi, and Kubeflow.
  
• Working with relational (SQL), NoSQL (Elasticsearch, MongoDB), and Graph Databases (Neo4j).
  
• Analyzing 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 TensorFlow and PyTorch.
  
• Writing and supporting high-quality Python software to implement data science models, tools, and techniques.
  
• Leveraging cloud platforms like AWS, Azure, and GCP to build and deploy robust data solutions.
  

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 design and develop innovative techniques and tools in an agile manner and collaborate with other data engineers, data scientists, and developers to build the foundational systems that enable data science work. We encourage continuous learning and mentoring to support earlier-career colleagues.

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• Design, build, and maintain data ingestion and transformation pipelines.
  
• Investigate, transform (with provenance), and model customer data; perform data cleansing and feature engineering (e.g., using Apache NiFi or Pandas).
  
• Work with data architects and platform engineers to design secure, scalable data storage and processing solutions.
  
• Apply statistical methods to analyze data using libraries like NumPy and SciPy.
  
• Identify opportunities to design and build algorithms to transform and interrogate data at scale.
  
• Collaborate with Data Scientists to productionise ML/AI models, ensuring they are efficient, scalable, and maintainable.
  
• Develop data visualisations and reporting tools for varied audiences, using libraries such as Matplotlib.
  
• Test and compare different computational techniques and database technologies for data work.
  

We’re looking for someone who:

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• Has experience building robust, scalable systems to handle complex data.
  
• Takes a conscientious, curious, and scientific approach to work.
  
• Keeps learning about state-of-the-art techniques in technology, academia, and industry.
  
• Strong programming skills, particularly in Python.
  
• Hands-on experience with relational databases (SQL) and/or NoSQL or distributed databases (e.g., Elasticsearch, MongoDB, Neo4j).
  
• Understanding of data modelling, data cleansing, and data engineering principles, including performance monitoring, change data capture/audit, and schema design/migrations.
  
• Strong analytical and problem-solving abilities and the ability to communicate technical ideas to diverse audiences.
  

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• A degree in Computer Science, Data Science, Engineering, Mathematics, Physics, or demonstrable equivalent experience.
  
• Experience with data ingestion/transformation pipelines using Apache Spark or cloud-native solutions (AWS, Azure, GCP).
  
• Experience with MLOps tools (Kubeflow, MLflow) and lifecycle of ML/AI models.
  
• Experience designing batch or streaming data jobs; familiarity with Graph Databases (Neo4j).
  
• Experience with data science libraries (Scikit-learn, NLTK, spaCy) and Python APIs (e.g., Pydantic).
  
• Familiarity with data governance and lineage concepts and implementations.
  

Head Office is in Salford Quays, Manchester, with satellite teams in London and Gloucestershire. Hybrid work is supported, typically up to one or two days on-site per week, depending on delivery needs. Applicants within commuting distance of Huntingdon, Cambridgeshire will also be considered.

Salary is competitive based on base location and experience. The full-time working week is 37.5 hours with flexible scheduling. Part-time arrangements can be discussed. Core hours are 10:00–15:00; office hours are 07:30–18:00, Monday to Friday.

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• Flexible/Hybrid working options
  
• Company performance-related bonus
  
• Pension matched 1.5x up to 10.5%
  
• AXA group medical cover
  
• Personal training budget
  

We want you to feel comfortable and confident interviewing with us. Our recruitment team will discuss the process in more detail when you apply. We also offer accessibility or neurodiversity support.

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• Seniority level: Not Applicable
  
• Employment type: Full-time
  
• Job function: Information Technology and Analyst
  
• Industries: IT Services and IT Consulting
  

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