At a Glance
- Tasks: Design and build data pipelines, optimise data infrastructure, and collaborate on innovative solutions.
- Company: Join a leading tech company revolutionising the betting and gaming industry.
- Benefits: Competitive salary, bonuses, flexible working, and wellness support.
- Other info: Dynamic team environment with opportunities for career growth and innovation.
- Why this job: Shape the future of gaming with cutting-edge technology and impactful projects.
- Qualifications: Experience in AWS, Python, SQL, and data warehousing concepts required.
The predicted salary is between 45000 - 60000 £ per year.
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. With the help of our proprietary 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 time to join us.
Job Purpose
We are on the lookout for a skilled Data Engineer to become an integral part of our Data Engineering Team. You will not only maintain and optimize our data infrastructure but also spearhead its evolution. Built predominantly on AWS, and utilizing 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
- Design and Build Data Pipelines: Take ownership of designing, developing, and maintaining robust data pipelines and ETL processes using AWS services such as AWS Glue, AWS Lambda, and AWS S3.
- Contribute to Cloud Migration: Actively participate in and support the migration of our existing Data Warehouse from SQL Server to AWS, with a focus on implementing best practices using S3 and Redshift.
- Ensure Data Quality and Integrity: Develop, implement, and maintain data quality checks and validation procedures to ensure the accuracy and reliability of our data.
- Implement Architectural Solutions: Contribute to the design and implementation of data lakehouse architectures and data warehousing solutions.
- Collaborate and Deliver: Work closely with data scientists and analysts to support the deployment and operationalization of machine learning and advanced analytical solutions.
- Maintain and Optimize: Develop and maintain data documentation and operational procedures, and proactively investigate and resolve data quality issues and performance bottlenecks.
- Stay Current and Innovate: Stay up-to-date with the latest data technologies and industry best practices and apply this knowledge to improve our platform.
- Provide Technical Support: Offer technical guidance and support to junior data engineers and other team members when needed.
Knowledge, Skills and Experience
- Strong AWS Proficiency: Solid understanding and practical experience with AWS services such as AWS Glue, AWS Lambda, AWS S3, AWS Redshift, and Amazon EMR.
- Core Technical Skills: Proven proficiency in Python, SQL, Pipeline Orchestration, PySpark and a deep understanding of data warehousing concepts.
- Problem-Solving: Demonstrated ability to independently diagnose and resolve complex data issues and performance bottlenecks.
- Communication: Ability to effectively communicate technical concepts and project updates to both technical and non-technical stakeholders.
- Experience with Data Architectures: Hands-on experience with data lakehouse architectures and data warehousing solutions.
- Agile Experience: Experience with Agile development methodologies.
- Security and Best Practices: A solid understanding of data security and privacy best practices.
What is in it for me?
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 (£45,000 to £60,000)
- 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.
Data Engineer in Manchester employer: South 11
At Betfred, we pride ourselves on being at the forefront of innovation in the betting and gaming industry, offering a dynamic work environment that fosters creativity and collaboration. As a Data Engineer, you'll not only enjoy competitive pay and generous benefits but also have access to continuous professional development opportunities, ensuring your growth within our cutting-edge technology team. Join us in Manchester, where you can make a real impact on millions of customers worldwide while enjoying a supportive culture that values employee wellbeing and recognition.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those using AWS, Python, and PySpark. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering questions and scenarios. Practice explaining your past projects and how you tackled challenges—this will help you shine during the interview.
✨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 Data Engineer in Manchester
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your experience with AWS and the specific technologies mentioned in the job description. We want to see how your skills align with what we're looking for!
Tailor Your Application:Don't just send a generic application! Take the time to tailor your CV and cover letter to reflect the key responsibilities and requirements of the Data Engineer role. This shows us that you're genuinely interested in joining our team.
Be Clear and Concise:Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate a well-structured application!
Apply Through Our Website:Make sure to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at South 11
✨Know Your Tech Inside Out
Make sure you brush up on your AWS services, especially Glue, Lambda, and S3. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex data issues you've tackled. Highlight your thought process and the steps you took to resolve these problems. This will demonstrate your analytical skills and ability to think on your feet.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You might be asked to present your ideas to non-technical stakeholders, so being able to communicate effectively is key. Think about how you can make your experience relatable.
✨Stay Current with Trends
Research the latest trends in data engineering and AWS technologies. Being knowledgeable about industry best practices shows your passion for the field and your commitment to continuous learning, which is something we value highly.
