Data Production Engineer

Farringdon Without
1 week ago
Applications closed

Related Jobs

View all jobs

Production Engineer

Software Engineer

Data Engineering Intern

Data Engineering Intern

Project Planner 12 Month FTC

Senior Manufacturing Engineer

Data Production Engineer
Location: London, United Kingdom
Salary: Competitive + Excellent Benefits

Our client, a leading global trading firm, is seeking a talented Data Production Engineer to join their highly collaborative Data team. Data is central to their success, powering one of the world's largest and most advanced automated trading operations.

This role offers the unique opportunity to work directly with live trading teams, automate processes, explore vast datasets, and engage with key external stakeholders such as data vendors, brokers, and exchanges. You'll play a hands-on role in acquiring, validating, and preparing data that feeds cutting-edge quantitative research and real-time trading strategies.

Key Responsibilities

Data Engineering: Develop tools to onboard, classify, and reconcile data. Automate workflows using a modern Python data stack.

Data Analysis: Clean, validate, and enrich datasets; conduct in-depth reconciliations and support researchers in data exploration and feature creation.

Data Debugging: Trace anomalies to their source through a combination of technical analysis, problem-solving, and stakeholder communication.

Production Support: Monitor data pipelines, resolve issues quickly, and provide reliable support to internal users across trading and research.

About You

You're detail-oriented, curious, and thrive on solving complex data challenges.

Comfortable operating in a fast-paced, production environment.

You collaborate well with both technical and non-technical stakeholders.

Requirements

2+ years in a data engineering or data science role, or a relevant degree in a related field.

Strong Python skills are a must; familiarity with modern data tools and libraries.

Proficient in at least one SQL dialect (PostgreSQL, MySQL, MSSQL).

Comfortable using the Linux command line for file manipulation, automation, and system monitoring.

Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) and ETL pipeline management is highly desirable.

Prior exposure to supporting systems in a production trading environment is a strong advantage.

Why Apply?

You'll join a high-impact team at the core of a global trading powerhouse, surrounded by smart, driven colleagues in an environment that prizes collaboration, innovation, and technical excellence. The culture is open, inclusive, and values ideas from all corners of the organisation.

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

Get the latest insights and jobs direct. Sign up for our newsletter.

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 Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Jobs

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

Jobs

Data Science Jobs in the Public Sector: Exploring Opportunities Across GDS, NHS, MOD, and More

Data science has emerged as one of the most influential fields in the 21st century, transforming how organisations make decisions, improve services, and solve complex problems. Nowhere is this impact more visible than in the UK public sector. From the Government Digital Service (GDS) to the National Health Service (NHS) and the Ministry of Defence (MOD), government departments and agencies handle vast amounts of data daily to support the well-being and security of citizens. For data enthusiasts looking to make a meaningful contribution, data science jobs in the public sector can offer rewarding roles that blend innovation, large-scale impact, and societal benefit. In this comprehensive guide, we’ll explore why data science is so pivotal to government, the roles you might find, the skills needed, salary expectations, and tips on how to succeed in a public sector data science career.

🍪 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.