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

Apply Now

Data Engineer (Chinese Speaking)

Eeze
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Company Overview

Eeze is a fast-growing iGaming provider looking to expand its operations in the European market. We design, develop, and deliver immersive live casino games tailored to your brand and its audience.

Job Summary

We are looking for a Data Engineer to join our exciting journey. This position involves collaborating with stakeholders, understanding data requirements, and excelling in data visualisation.

Responsibilities
  • Develop data pipelines to transform data from various sources into usable formats for analysis.
  • Collaborate with business analysts and other stakeholders to understand data requirements and create visualisations, dashboards, and reports to communicate findings effectively.
  • Design and implement data models and schemas to organise and structure data for optimal storage and retrieval.
  • Utilise technologies such as Hadoop, Spark, Kafka, and other big data frameworks to efficiently handle and process large datasets.
Requirements
  • Proficiency in SQL and any programming language (Python, Java, Scala, or R).
  • Expertise in data modelling, schema design, and database management.
  • Knowledge or experience in data visualisation tools (e.g., Redash, Tableau, Power BI).
  • Experience with Oracle DB is a plus.
  • Experience in the iGaming industry is desirable.
Hiring Process
  • 15 min call with Talent Acquisition
  • Technical Test
  • Final interview with the hiring team
We offer
  • Experience a dynamic and team-orientated work environment.
  • Opportunities for personal growth and learning
  • An open, inclusive and supportive team where you will be valued, and your suggestions will be welcome
  • 26 days paid holiday per year, in addition to local public holidays
  • Competitive salary
  • Risk Benefits such as pension, Life Assurance (4x annual salary), Private Medical Insurance
  • Team Building activities
  • Local discounts and more...!
Locations

Hammersmith

Remote status: Hybrid

Language requirement: Chinese


#J-18808-Ljbffr

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.