Senior Data Engineer - DV Cleared

JR United Kingdom; Slough; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A tech scaleup in London seeks a Senior Data Engineer to blend data engineering and data science. The role involves managing data solutions for National Security clients and requires DV clearance, with a strong focus on clients’ data needs and driving innovation.

Benefits

27 days holiday plus bank holidays

Generous Maternity/Paternity policy

Flexible work environment

Qualifications

• Experience in data engineering and data science tasks.
• High-level UK Security Vetting (DV) required.
• Ability to build robust data solutions and collaborate on ML models.

Responsibilities

• Manage integrations between data warehouse and other systems.
• Create deployable, robust data pipelines.
• Build scalable data science capabilities.

Skills

Data Engineering

Data Science

Machine Learning

Problem Solving

Python

Statistical Analysis

Agile Methodology

Tools

Docker

Kubernetes

Spark

Nifi

Job description

Social network you want to login/join with:

Senior Data Engineer - DV Cleared, Slough

Client: Fortice

Location: Slough, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views:

4

Posted:

31.05.2025

Expiry Date:

15.07.2025

Job Description:

As a Data Specialist at this tech scaleup in London, you will analyse, collect, sort, and create data solutions that integrate across multiple products. You will steer decisions regarding data and build models that power their products.

You will take client insights and requirements and make them a reality by developing datasets and operational models to drive innovation in product development. You will interpret client objectives to help the technical team understand opportunities and apply data engineering responsibilities.

You will work on projects delivering to National Security customers and must hold the highest level of UK Security Vetting (DV) upon application.

Key Responsibilities:

You will blend Data Engineering and Data Science, with experience covering tasks such as:

Data Engineering tasks

• Manage integrations between data warehouse and other systems.
• Create deployable, robust data pipelines using technologies like Nifi, Spark.
• Build analytics tools for insights into client requirements and business metrics.
• Complete onsite client visits and provide customer support.
• Problem-solve pragmatically, providing technical support and agile methodology.

Data Science tasks

• Build scalable, containerised data science capabilities (Docker, Kubernetes).
• Collaborate to deploy ML and AI models via production-ready code and APIs.
• Research and analyse datasets using statistical and machine learning techniques.
• Support analytical needs including data cleansing, feature engineering, and visualisation.
• Review software solutions for performance and commercial impact.
• Assist Business Development with proposals and bids.

Additional info:

• Flexible, autonomous work environment with hybrid working (client site, no office).
• Core hours: 10am - 2pm; other hours flexible.
• 27 days holiday plus bank holidays, and a generous Maternity/Paternity policy.

Process:

Application involves a two-stage process over two weeks: an initial virtual chat with the Head of Engineering, followed by a final interview (video or face-to-face) to discuss your skills and role expectations.

Equality and Inclusion:

Fortice promotes diversity and encourages applications from all backgrounds. They aim to enable good people to do better work for better outcomes.