Data Engineer

Buzz Group Limited
Nottingham
2 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer - Hybrid / NottinghamFull-time, Permanent | Working from Nottingham Offices once a month with additional visits for workshops and trainingSalary: £50,000.00 to £60,000.00 per Annum

We are currently seeking a highly skilled Data Engineer to join our team on a Hybrid basis with a requirement to visit our head office in Nottingham. As a Data Engineer, you will play a pivotal role in our company's success by developing, testing, and maintaining our data infrastructure and systems. You will work closely with our product managers, software developers, data analysts, and other stakeholders to ensure efficient data flow across multiple systems that meet our Customers' requirements and expectations.

Your Tasks and Responsibilities

  • Data Pipeline Development:Design, build, and maintain scalable ETL (Extract, Transform, Load) processes to facilitate data ingestion and transformation from various sources.
  • Data Modelling:Create and maintain data models that support analytics and reporting needs. Ensure data integrity and consistency across various data systems.
  • Database Management:Administer and optimize relational databases to ensure efficient storage, retrieval, and processing of large datasets.
  • Collaboration:Work closely with data scientists and analysts to understand their data needs and provide solutions that enable efficient data analysis.
  • Data Quality Assurance:Implement data quality checks and monitoring processes to ensure the accuracy and reliability of data.
  • Documentation:Maintain comprehensive documentation of data systems, pipelines, and processes to support knowledge sharing within the team.
  • Performance Tuning:Analyze and optimize existing data workflows for performance improvements and cost efficiency.
  • Stay Current:Keep up-to-date with industry trends and emerging technologies to continuously enhance our data engineering practices.

Your knowledge and experience

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field; Master's degree is a plus.
  • Proven experience as a Data Engineer or in a similar role, with a strong understanding of data warehousing and data modelling principles.
  • Proficiency in programming languages such as C#, Python, Java, or Scala.
  • Proficiency using Microsoft Visual Studio IDE.
  • Experience with ETL tools and data pipeline orchestration tools.
  • Strong knowledge of SQL and experience with relational databases (e.g., MSSQL, PostgreSQL, MySQL).
  • Experience with building and maintaining SSIS packages, SSAS, Azure Data Factory.
  • Familiarity working in a hybrid environment which includes both on premise and Azure data integration solutions.
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and data services (e.g., Redshift, BigQuery, Snowflake).
  • Understanding of data security best practices and experience implementing security measures.
  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.
  • Knowledge and experience of working with data visualization tools (e.g. Power BI, SSRS) and experience working with business intelligence teams to create and modify business reports.
  • Experience with CI/CD pipelines and version control (e.g., Git).
  • Familiarity with data governance and GDPR compliance.
  • Motivated and enthusiastic individual with a positive ‘can do' attitude.
  • Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
  • Hold a full clean driving license as travel between group sites will be required.
  • Experience working in retail/hospitality and gaming/gambling sectors is a plus.

Hit the Jackpot with Our Benefits

In return for everything you bring, we offer an exciting role in a dynamic business and a great rewards package. We'll help you build your skills and career as you work with us in a business that never stands still. So, in addition to the salary range of £50,000.00 to £60,000.00 per Annum, we offer a comprehensive benefits package, including:

  • Help@Hand – a physical and mental wellbeing app for you and your family giving you fast remote access to a GP for advice and more
  • Thrive App – for your mental wellbeing approved by the NHS
  • My Eva – an online financial expert to help with any money-related matters
  • Buzz Brights Apprenticeships at management level
  • Buzz Learning, our digital learning platform with access to 100s of online courses
  • Access to Trained Mental Health Advocates for advice on your mental wellbeing
  • Staff discount 50% off bingo tickets, food & soft drinks
  • Refer a Friend Scheme
  • Pension Scheme
  • Buy 5 days addition holiday

#BB1


AMRT1_UKCT

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.

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!