Data Engineer

Graduate Recruitment Bureau
Brighton
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

One of the world's leading sports betting companies, having experienced rapid success over the last decade and having grown their marketing spend exponentially, they are now a regular presence at high profile sporting events. They are now making significant hires across its data function to help drive commercial performance amid continued success.

The company operates a casual office environment in central London with an on-site barista, regular visits from leading sports stars and breakout rooms all over the complex. Fantastic development and progression opportunities mean that rapid promotions are common.

**The Role**

Sat in a sizeable team of data engineers, the work you produce will have real commercial impact as you make sure vast amounts of data are where they need to be to enable the fast paced, data driven environment of sports betting to continue. Whether that's developing innovative cutting-edge new features to meet business requirements, or taking part in code reviews whilst working as part of a high calibre agile team.

Due to the growth within the team, there is also an opportunity to get involved with line managing junior members of the team within a short space of time after joining.

You will work on multi year projects to deliver cutting edge projects across various departments such as customer, financials and gameplay. Utilising your expertise in Python and working with an exciting cloud tech stack this is truly a great next step in your data engineering career.

The successful candidate will possess the following essential skills:

Strong proficiency within Python or PySpark Data Engineering experience, ideally with an Azure background Significant experience with SQL (preferably SQL Server) A skilled communicator able to interact with stakeholders of varying seniority

It would be desirable if you were to possess:

Experience with cloud based tools, ideally Azure Experience with C#

PLEASE NOTE: Regrettably, this client is unfortunately unable to offer Visa sponsorship

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

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.

Jobs

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.

Careers Jobs

McKinsey & Company Data‑Science Jobs in 2025: Your Complete UK Guide to Turning Data into Impact

When CEOs need to unlock billion‑pound efficiencies or launch AI‑first products, they often call McKinsey & Company. What many graduates don’t realise is that behind every famous strategy deck sits a global network of data scientists, engineers and AI practitioners—unified under QuantumBlack, AI by McKinsey. From optimising Formula One pit stops to reducing NHS wait times, McKinsey’s analytics teams turn messy data into operational gold. With the launch of the McKinsey AI Studio in late 2024 and sustained demand for GenAI strategy, the firm is growing its UK analytics headcount faster than ever. The McKinsey careers portal lists 350+ open analytics roles worldwide, over 120 in the UK, spanning data science, machine‑learning engineering, data engineering, product management and AI consulting. Whether you love Python notebooks, Airflow DAGs, or white‑boarding an LLM governance roadmap for a FTSE 100 board, this guide details how to land a McKinsey data‑science job in 2025.

🍪 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.