Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer

Randstad Technologies Recruitment
London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer | AI-Driven Telecoms | London - Office-Based | Competitive SalaryRandstad Digital are partnering with a pioneering telecommunications company at the forefront of AI-powered solutions, seeking a Data Engineer to join their innovative team. This is a fantastic opportunity to play a key role in building and maintaining data infrastructure that will shape the future of telecom products and services.The RoleAs a Data Engineer, you'll be instrumental in developing ETL pipelines, managing big data systems, and delivering actionable insights to drive product development. You'll collaborate closely with product and development teams, contributing to AI-driven solutions that are transforming the telecoms landscape.Key ResponsibilitiesDesign and implement ETL pipelines using SQL and Python frameworks.Manage and optimise data systems including Hadoop, Hive, MySQL, Oracle, and Vertica.Automate analytical processes to improve operational efficiency.Develop analytical dashboards and reporting tools.Conduct exploratory data analysis to identify new opportunities.Create user behaviour models to enhance product performance.Collaborate with stakeholders to deliver data-driven insights.What We're Looking ForProven experience in data engineering or quantitative data analysis.Proficiency in SQL and at least one scripting language (Python, PHP, or Perl).Strong understanding of statistical analysis.Experience with data visualisation tools.Excellent communication skills and the ability to convey complex insights.Ability to work independently and manage multiple projects.Desirable SkillsExperience in telecommunications or internet-based industries.Knowledge of big data technologies (Hive, Hadoop).Familiarity with statistical packages like R, MATLAB, SPSS, or SAS.Exposure to distributed computing systems.Previous experience in multi-cultural or international environments.What's on Offer?Opportunity to work with a cutting-edge AI and telecoms company.Collaborative environment with hybrid working options.Competitive salary and benefits package.Career development opportunities in a fast-growing sector.Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business

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.

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.