Data Engineer

Nottingham
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Job Title: Data Engineer

Location: Hybrid

Contract Type: Permanent / Full-Time

About the Role

Are you passionate about technology and eager to make a real impact? At Buzz Bingo, we’re looking for a Data Engineer who thrives on innovation and enjoys working across a diverse technology stack.

The systems you’ll support underpin both our in-club and online customer experiences, giving you the opportunity to influence how thousands of people interact with Buzz Bingo every day.  

What You’ll Do

Data Pipeline Development: Design, implement, and maintain robust ETL/ELT pipelines for ingesting and transforming data from multiple sources.

Data Modelling: Create and maintain models that support analytics and reporting needs, ensuring data integrity and consistency.

Database Management: Administer and optimize relational databases for efficient storage and retrieval of large datasets.

Collaboration: Work closely with software engineers, analysts, and business teams to deliver secure, reusable, and efficient data solutions.

Data Quality Assurance: Implement checks and monitoring processes to ensure accuracy and reliability.

Documentation: Maintain detailed technical documentation for data architectures, pipeline designs, and operational procedures.

Performance Tuning: Analyse and optimize workflows for performance and cost efficiency.

Innovation: Stay current with emerging technologies and best practices to continuously improve our data engineering capabilities.

What You’ll Get in Return

(email address removed) – 24/7 access to GPs, mental health support, and more for you and your family

Thrive App – NHS-approved mental wellbeing support

Buzz Brights Apprenticeships & Buzz Learning – access to 100s of online courses

Buzz Brilliance Awards – employee recognition scheme

5 weeks annual leave plus public holidays (pro-rated for part-time roles)

Holiday Buy Scheme – purchase an extra week of holiday (eligibility applies)

50% staff discount on bingo tickets, food, and soft drinks

Refer a Friend Scheme

Life Assurance & Pension Scheme

Access to trained Mental Health Advocates

What We’re Looking For

Essential Skills & Experience:

Proven experience as a Data Engineer or similar role, with strong knowledge of data warehousing and modelling.

Proficiency in C#, Python, Java, or Scala.

Hands-on experience with ETL tools (e.g., SSIS) and orchestration tools (e.g., Azure Data Factory).

Strong SQL skills and experience with relational databases (MSSQL, PostgreSQL, MySQL).

Familiarity with Azure services (Fabric, Azure SQL, Synapse Analytics, Blob Storage) and hybrid cloud/on-prem solutions.

Understanding of data security best practices, GDPR compliance, and governance frameworks.

Strong experience with data visualization tools (Power BI, Tableau, SSRS).

Knowledge of CI/CD pipelines and version control (Git).

Experience with SSAS cubes, Azure-based data pipelines, and containerization technologies.

Must have a full UK Driving Licence and access to your own vehicle.

Desirable:

Familiarity with DAX Studio for performance tuning and query diagnostics.

Strong proficiency in DAX (Data Analysis Expressions) for creating complex measures, calculated columns, and tables

Background in retail, hospitality, or gaming/gambling sectors.

Why Join Buzz Bingo?

Work on impactful projects that shape customer experiences across the UK.

A collaborative, supportive environment where innovation is encouraged.

Opportunities to learn, grow, and work with cutting-edge technologies.

Ready to make an impact?

Apply now and help us build secure, scalable, and innovative data solutions for Buzz Bingo!

#BB1

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.

Jobs

How to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

Education Jobs

Maths for Data Science Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.

Jobs

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

🍪 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.