National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer

TEKsystems
London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Job Title: Data Engineer

Job Description

This role sits within our client's Security Products group who are responsible for the protection of customer and corporate data. They are connected to all parts of the business and our client's massive, worldwide architecture. They are now starting the work on a new mission-critical system that will preserve and improve the experience provided to all of their customers. You will be working on a Greenfield project with plenty of opportunity for innovation in the security space through new machine learning techniques. They are looking for a Data Engineer with a great passion for data, and a desire to be curious and invent. A commitment to teamwork, hustle, and strong communication skills (to both business and technical partners).

Creating reliable, scalable, and high-performance products needs someone with exceptional technical expertise, a solid understanding of the fundamentals of Computer Science, and practical experience in building large-scale distributed systems.

Responsibilities

Design, develop, and maintain scalable data pipelines and architectures. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Implement data models and schemas to ensure data quality and accessibility. Develop and optimise ETL processes for data ingestion and transformation. Ensure the security, reliability, and performance of data systems.

Essential Skills

Bachelor's degree in Computer Science or equivalent. 3+ years of professional experience in data engineering. Expertise in Python, Java, or Scala for data analysis and data modelling. Knowledge of scalable computing systems, software architecture, data structures, and algorithms.

Additional Skills & Qualifications

Experience working with cloud and distributed software services and an understanding of design for security, availability, and performance. Sharp analytical abilities and proven design skills. Strong sense of ownership, urgency, and drive. Demonstrated leadership abilities in an engineering environment in driving operational excellence and best practices. Proven results and a history of project delivery. Excellent verbal and written communication skills.

Why Work Here?

This role offers a unique opportunity to work on a greenfield initiative with ample room for innovation in the security space using new machine learning techniques. You will be part of a team that is passionate about data and committed to excellence. The position provides a dynamic work environment connected to all parts of the business, providing professional growth and collaboration.

Work Environment

You will be working in a collaborative and supportive environment with access to the latest cutting-edge technologies and tools. The role requires strong communication skills to effectively work with both business and technical partners. The team places a strong emphasis on innovation, security, and high performance.

Job Type & Location

This is a Contract position based out of London, United Kingdom.

Location

London, UK

Rate/Salary

- GBP Daily

Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. 2876353. Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.