Data Engineer

Graduate Recruitment Bureau
Brighton
8 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.

Careers

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Careers

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Careers

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

🍪 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.