Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Graduate Data Engineer - Reply

ZipRecruiter
London
6 days ago
Create job alert

Job Description

Graduate Data Engineer

About Data Reply:
Data Reply is the Reply Group company offering a broad range of analytics and data processing services. We operate across different industries and business functions, working directly with executive level professionals, enabling them to achieve meaningful outcomes through effective use of data. We find that one of the biggest problems experienced by our clients today is being overwhelmed with the amount of data that they face and not knowing how to leverage it to their advantage. The vast landscape of available technology stacks and models means that choosing the right ones can be a daunting task. Most companies know that their data is valuable, and that they should be making the most out of it to stay competitive, but often don't know where to begin or what to prioritise. At Data Reply, we pride ourselves on helping clients make the right decisions to build their data strategy. With our consultants' expertise, we map the right technologies to meet our clients' business needs. We deal in bespoke solutions, and offer in house training to ensure that our clients realise the full value of their big data solution. www.data.reply.com

Role overview:
As a Graduate Data Engineer joining our Data Reply team in London, you will design and develop high-performance big data applications, manage complex data sets, and work across the full development lifecycle. You'll explore big data technologies such as SQL, AWS and Databricks to add business value and collaborate with global clients. The role offers extensive training, structured career progression, and opportunities to work with leading brands in a vibrant, technology-driven environment. Start date: September 2025

Responsibilities:

  • Help translate functional requirements into technical requirements
  • Assist with design and development of high performing and stable end-to-end big data applications to perform complex processing of batch and real-time massive volumes of data in a multi-tenancy cloud environment
  • Help develop and implement tools for data acquisition, extraction, transformation, management, and manipulation of large and complex data sets
  • You'll be involved in all aspects of development - design, development, build, deployment, monitoring and operations
  • Research and experiment with emerging technologies and industry trends with a view to bringing business value through early adoption

About the candidate:

  • A minimum Bachelor's degree is required in Computer Science or in a directly related IT discipline
  • Strong knowledge of - and initial experience with - handling big data projects using SQL and Python
  • Initial experience with AWS and Databricks is strongly desirable
  • Excellent communications skills; an ability to communicate with impact, ensuring complex information is articulated in a meaningful way to wide and varied audiences
  • A passion for technology and a strong interest in becoming a Big Data Engineer
  • A strong understanding of key concepts in data engineering is needed as a foundation on which to build
  • Strong interest in becoming a consultant coupled with an insatiable hunger to learn
  • Flexibility regarding local business travelling
  • Flexible attitude towards working across different client projects

Reply is an Equal Opportunities Employer and committed to embracing in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of , , , , , , , , , medical history, skin , marital status or parental status or any other characteristic protected by the Law.

Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.


#J-18808-Ljbffr

Related Jobs

View all jobs

Graduate Data Engineer

Graduate Data Engineer - Reply

Graduate Data Engineer - Coventry

Graduate Data Analyst

Graduate Data Analyst

Graduate Data Analyst

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.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.

Automate Your Machine Learning Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

ML jobs are everywhere—product companies, labs, consultancies, fintech, healthtech, robotics—often hidden in ATS portals or duplicated across boards. The fastest way to stay on top of them isn’t more scrolling; it’s automation. With keyword-rich alerts, RSS feeds, and a reusable ChatGPT workflow, you can bring relevant roles to you, triage them in minutes, and tailor strong applications without burning your evenings. This is a copy-paste playbook for www.machinelearningjobs.co.uk readers. It’s UK-centric, practical, and designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning LLM/NLP, Vision, Core ML, Recommenders, MLOps/Platform, Research/Applied Science, and Edge/Inference optimisation. Shareable Boolean searches you can paste into Google & job boards to cut noise. Always-on alerts & RSS feeds delivering fresh roles to your inbox/reader. A ChatGPT “ML Job Scout” prompt that deduplicates, scores fit, and outputs tailored actions. A lightweight pipeline tracker so deadlines and follow-ups never slip.