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For Companies At a Glance
- Tasks: Join our Data Engineering Team to build and optimise data pipelines using AWS technologies.
- Company: Exciting tech company revolutionising the betting and gaming industry.
- Benefits: Competitive salary, bonuses, flexible leave, and 24/7 online GP access.
- Why this job: Be at the forefront of innovative data solutions and shape the future of gaming.
- Qualifications: Basic knowledge of cloud tech, Python, SQL, and a passion for problem-solving.
- Other info: Dynamic environment with opportunities for continuous learning and career growth.
The predicted salary is between 24000 - 42000 £ per year.
About Us
Our mission is to dominate the betting and gaming industry on a global scale and we need the very best Tech talent to help us achieve this.
We recently migrated all of our customers onto our very own proprietary platform – so it\’s an exciting time to join us. With the help of our new platform, we\’re able to pioneer new products and drive more advanced, creative technologies. The result? Unrivalled experiences for millions of customers worldwide.
Betfred\’s Technology department is driven by innovation, and you\’ll be at the heart of unlocking our new platform\’s potential. So, if you want to help shape the future of betting and gaming, then it\’s to time to join us.
Job Purpose
We are on the lookout for a Junior Data Engineer to become an integral part of our Data Engineering Team. You will not only maintain and optimise our data infrastructure but also spearhead its evolution. Built predominantly on AWS, and utilising technologies like Pyspark and Iceberg, our infrastructure is designed for scalability, robustness, and efficiency. You will be part of developing sophisticated data integrations with various platforms, developing real-time data solutions, improving automation, and enabling crucial business intelligence.
Job Duties
- Build and Maintain Data Pipelines: Learn how to design, develop, and maintain data pipelines and ETL processes using key AWS services like AWS Glue, AWS Lambda, and AWS S3.
- Support Cloud Migration: Play a supporting role in migrating our existing SQL Server data warehouse to an AWS environment, specifically S3 and Redshift.
- Ensure Data Quality: Implement and run data quality checks and validation procedures to ensure our data is reliable.
- Work with Cutting-Edge Architectures: Get exposure to best-practice data lakehouse and data warehousing solutions.
- Collaborate with Experts: Work closely with data scientists and analysts, learning how to support the deployment of machine learning and advanced analytics solutions.
- Document and Troubleshoot: Learn how to document operational procedures and help investigate and resolve data quality issues.
- Grow Your Skills: Stay up-to-date with the latest data technologies and industry best practices through continuous learning and support.
Knowledge, Skills and Experience
Essential
- Foundational Knowledge: A basic understanding cloud technologies would be useful, and any previous work with data would help set the context for this role.
- Technical Basics: Some experience in Python(or another scripting language) and SQL is a must. You should also be familiar with some data concepts.
- Problem-Solving Skills: The ability to think logically and an eagerness to diagnose and resolve technical issues.
- Communication: A willingness to learn how to communicate technical concepts to both technical and non-technical stakeholders.
Desirable (training will be provided):
- Any experience with data lakehouse architectures or data warehousing solutions.
- Any experience working in cloud environments.
- Familiarity with Agile development methodologies.
- An awareness of data security and privacy best practices.
What\’s in it for you?
We offer a variety of competitive benefits, some of which vary depending on the role you\’re recruited to. Some of what you can expect in this role includes:
- A competitive rate of pay and pension contribution (£30,000 – £35,000)
- Generous discretionary bonus schemes, incentives and competitions
- An annual leave entitlement that increases with length of service
- Access to an online GP 24/7, 365 days a year for you and your immediate family.
- Employee wellbeing support through our Employee Assistance Programme
- Enhanced Maternity & Paternity Pay
- Long Service Recognition
- Access to a pay day savings scheme, financial coach and up to 40% of your earned wage ahead of payday, through Wagestream.
For More information, visit our
Junior Data Engineer employer: Betfred
Contact Detail:
Betfred Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at tech meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing any projects you've worked on, especially those related to data engineering. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process clearly, as communication is key when working with both technical and non-technical teams.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Junior Data Engineer
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us know why you're excited about data engineering! Share any personal projects or experiences that highlight your enthusiasm for working with data and technology.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to match the job description. Highlight relevant skills like Python, SQL, and any cloud experience you have. We want to see how you fit into our mission!
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. Clarity is key!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Betfred
✨Know Your Tech Basics
Make sure you brush up on your foundational knowledge of cloud technologies, especially AWS. Familiarise yourself with services like AWS Glue, Lambda, and S3, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled technical issues or optimised processes. This role requires logical thinking, so be ready to demonstrate how you approach problem-solving.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You’ll need to communicate effectively with both technical and non-technical stakeholders, so clarity is key!
✨Stay Updated on Data Trends
Research the latest trends in data engineering, particularly around data lakehouse architectures and machine learning. Showing that you're proactive about learning can really impress your interviewers.
