Data Engineer

Buzz Group; Woodborough; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A prominent gaming company in the UK is seeking a Data Engineer to design and maintain ETL/ELT pipelines, manage databases, and ensure data quality. Preferred candidates have expertise in programming languages like C# and Python, alongside strong SQL skills. The role offers a hybrid work model and various employee perks, including mental health support and a comprehensive leave policy.

Benefits

24/7 access to GPs and mental health support

Employee recognition awards

5 weeks annual leave

50% staff discount on bingo tickets

Qualifications

• Proven experience as a Data Engineer or similar role.
• Strong knowledge of data warehousing and modelling.
• Familiarity with data security best practices.

Responsibilities

• Design, implement, and maintain robust ETL/ELT pipelines.
• Create and maintain models that support analytics and reporting.
• Administer and optimize relational databases.

Skills

Data warehousing knowledge

C#

Python

SQL

Azure services

Data visualization

Tools

ETL tools (e.g., SSIS)

Azure Data Factory

Power BI

Tableau

Git

Job description

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

• Help@Hand – 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.

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.

Ready to make an impact? Apply now and help us build secure, scalable, and innovative data solutions for Buzz Bingo!