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Senior Data Engineer

Allwyn Lottery solutions enable our customers to drive growth in their lotteries through data. Our lotteries continue to invest in market leading people, technology and platforms to provide industry leading real time Data platforms. Through analytics our customers drive product development and optimise customer acquisition, retention and experience on our web, mobile and retail channels.

This role will be central to shaping the collection, storing, processing, and analysis of huge sets of data. The primary focus will be on architecting serverless AWS solutions for data streams, then developing, testing, implementing, and deploying them to our international clients. The role will lead data integration with our marketing technologies including our real time CDP.. 

The Engineer will take a holistic view of their deliverables and provide 3rd line support to clients to help monitor, diagnose and continuously improve our data products. To be successful, the target candidate will have extensive and broad experience across the full stack of AWS data products. The candidate will have worked with traditional data warehousing, ERP systems, high volume e-commerce sites, digital marketing data sets and a variety of BI and Analytic tools.

Purpose of Role

  • To architect robust data ingestion streams for real time data processing, marketing technology and analytics
  • Contribute to the platform logical and physical data models
  • Develop ETL, ELT routines for structured analytics
  • Develop a range of integrations to APIs, flat files and other external systems  to support broader ecosphere
  • Work with software developers to enhance gaming platform integration 
  • Support testing and deployment
  • Develop automated monitoring, fault recovery and diagnosis
  • Document output to a high level
  • Mentor and train localised application support specialists

Department

Part of the Camelot Lottery Solutions BI and CRM product unit. The team’s objective is to provide ongoing support to our customers' analytics and CRM capability.

Key Accountabilities 

  • Lead the development of AWS data solutions
  • Lead adoption of new integration and data technologies
  • Input into the AWS technology roadmap and strategy
  • Champion best practice and standardisation of development
  • Deliver best in class solutions in terms of robustness, recovery and resilience 
  • Deliver continuous improvement to development methodologies and automation
  • Advanced AWS Serverless design and development experience specifically
    • Streaming technologies such as SQS, Kinesis, MSK
    • NoSQL stores such as DynamoDB
    • Serverless compute development with Lambda and Glue 
    • Orchestration of serverless compute with MWAA and Step functions 
    • SQL data stores such as AWS Athena and Aurora
    • Storage solutions, mainly S3
    • API development 
    • System monitoring with Cloudwatch
    • Roles and Policies with IAM
    • ML and AI with Sagemaker and Bedrock
  • Advanced knowledge of Python and popular libraries such as Panda Data Frames
  • Awareness of AWS prices  and charges to enable development of cost effective solutions 
  • Experience of developing high volume and highly scalable data  integrations using a variety of techniques and technologies including files, SQL, queues and APIs
  • Experience with integrating to ERP, Ecommerce and CRM integrations over a range of interfaces and formats including SQL, JSON, XML and CSV
  • Strong experience with performance tuning and monitoring techniques at an application and data platform level
  • Highly developed data modelling and SQL skills 

 Characteristics

  • Problem Solving: Solve unique and complex problems with a focus on business impact
  • Curious about new and upcoming technologies with the willingness to access, learn and integrate them into existing systems 
  • Flexible and capable of working unsupervised alone or in small teams in situations where priorities and workload can change quickly
  • Continuous Improvement: Develops strategies to address iterative improvement
  • Influence: Uses industry experience and analytics to authoritatively make recommendations and drives those through
  • Decision Making: Makes decisions guided by both internal policies and external industry guidelines in non-standard situations. Develops business or discipline specific rationale that impacts resource allocation, programme or project support and direction
  • Project Management: Leads projects or programmes with significant risk and complexity to achieve milestones and objectives.Develops the strategy for project execution

Unlock the Benefits-Discover What's in for you:

  • Be part of  a dynamic team with  enthusiastic experts that will support your talent and growth
  • Embark on a journey within a diverse environment full of opportunities and challenges
  • Comprehensive onboarding experience designed to facilitate your smooth transition
  • Attractive salary and a bonus plan
  • Health and life insurance for you and your family
  • Well-being allowance
  • Monthly lunch allowance
  • Developmental 360° feedback framework
  • Unlimited Training options and tools
  • Extensive leave plan
  • Employee Assistance Program with specialized Counselors / Licensed Psychologists
  • Enjoyable and stable working environment
  • Flexible working arrangements (fully remote/hybrid)
  • Modern workspace environment
  • Apple equipment and top-notch office technology to support our hybrid working 

Allwyn is an Equal Opportunity Employer which prides itself in being diverse and inclusive. We do not tolerate discrimination, harassment, or victimization in the workplace. All employment decisions at Allwyn are based on business needs, job requirements, and individual qualifications. Allwyn encourages applications from individuals regardless of age, disability (visible or hidden), sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief, and marriage and civil partnerships.

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What You Should Know About Senior Data Engineer, Allwyn Lottery Solutions

If you're passionate about data and looking to make a significant impact, the Senior Data Engineer role at Allwyn is calling your name! In this exciting position, you will be at the forefront of architecting serverless AWS solutions that drive real-time data processing for our international clients. Imagine working with vast datasets, leveraging advanced streaming technologies such as SQS and Kinesis, and integrating with high-volume e-commerce sites while collaborating with talented professionals who share your enthusiasm for data integration and analytics. You'll be responsible for developing robust data ingestion streams and creating seamless connections to APIs and other external systems, enhancing our marketing technology and analytics capabilities. With a holistic view of deliverables, you'll also provide third-line support to clients, helping them monitor and continuously improve their data products. If you thrive in dynamic environments and have extensive experience across the full stack of AWS data products, this role is perfect for you! Allwyn prides itself on fostering a welcoming and inclusive workplace and offers endless opportunities for personal and professional growth. Join us in leveraging technology to drive growth in lotteries and create fantastic experiences for customers across web, mobile, and retail channels. Let's shape the future of data together!

Frequently Asked Questions (FAQs) for Senior Data Engineer Role at Allwyn Lottery Solutions
What are the primary responsibilities of a Senior Data Engineer at Allwyn?

As a Senior Data Engineer at Allwyn, your main responsibilities include architecting serverless AWS solutions for data streams, developing ETL and ELT routines for structured analytics, and collaborating with software developers to enhance integration with the gaming platform. Additionally, you will be engaged in creating seamless integrations with APIs and external systems, providing support in testing and deployment, and ensuring the continuous improvement of data products.

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What qualifications are needed for the Senior Data Engineer position at Allwyn?

To apply for the Senior Data Engineer role at Allwyn, candidates should have extensive experience with AWS data products and a solid background in integrating with various APIs, flat files, and data warehousing solutions. Proficiency in Python, SQL, and familiarity with advanced AWS services such as Lambda, Glue, and Kinesis are crucial. Furthermore, candidates should possess a strong understanding of data modeling, performance tuning, and monitoring techniques.

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What kind of projects will a Senior Data Engineer at Allwyn work on?

In the role of Senior Data Engineer at Allwyn, you'll work on projects that involve the development of AWS data solutions, adoption of new data integration technologies, and design of robust data ingestion streams. You will also be involved in contributing to data platforms, enhancing client integrations, and ensuring the scalability of data solutions through advanced performance tuning and monitoring techniques.

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What career growth opportunities are available for Senior Data Engineers at Allwyn?

At Allwyn, the Senior Data Engineer position opens doors to numerous career growth opportunities. You will have access to comprehensive training programs, mentoring from industry experts, and the chance to be involved in strategic projects shaping the future of data technology in lotteries. With a focus on continuous improvement, employees are encouraged to explore new technologies and advance their skills in the fast-evolving field of data engineering.

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What is the company culture like for Senior Data Engineers at Allwyn?

Allwyn fosters a vibrant and inclusive company culture that values diversity and encourages collaboration. As a Senior Data Engineer, you will be part of a dynamic team of experts dedicated to innovation and excellence. The company promotes a flexible working environment, supports professional growth, and provides ample resources for continued learning, ensuring an enjoyable and stable workplace for all employees.

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Common Interview Questions for Senior Data Engineer
Can you explain your experience with AWS data products relevant to the Senior Data Engineer role?

Certainly! Share specific projects where you've utilized AWS services like Lambda, Kinesis, or Glue to develop data streaming solutions. Highlight your role in architecting serverless infrastructures and how your contributions led to improved data processes.

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How do you approach data integration with diverse systems?

Discuss your strategies for integrating various APIs, and how you ensure data quality and consistency across platforms. Include examples of successful integrations you've completed while addressing challenges that arose during the process.

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What tools and methodologies do you prefer for ETL and ELT processes?

Outline your preferred tools, such as AWS Glue or custom scripts, and explain why you chose them. Discuss methodologies that promote efficiency, such as data pipeline automation and real-time processing, while sharing success stories.

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Describe a complex problem you solved as a Senior Data Engineer.

Provide an example of a challenging data engineering problem you've faced, detailing the steps taken to identify the issue and implement a solution. This could involve performance tuning, troubleshooting, or optimization efforts.

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How do you keep up-to-date with the latest data technologies?

Share your passion for continuous learning by mentioning resources like online courses, webinars, or networking events. Highlight the importance of staying informed about emerging technologies to stay competitive in the data engineering landscape.

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What is your experience with data modeling and database design?

Discuss your understanding of data modeling concepts and how you've applied them in your previous roles. Provide examples of database designs you've developed that improved data accessibility and performance.

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Can you explain your experience with monitoring and optimizing data systems?

Highlight your experience using tools like AWS CloudWatch to monitor data streams and performance. Discuss how you've implemented monitoring systems for fault recovery and diagnosis to maintain optimal performance.

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How do you handle challenges when working with large datasets?

Share specific techniques and tools you've used to manage and analyze large datasets effectively. Discuss any instance where you optimized data processing tasks to handle scale challenges.

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What are the best practices you follow when developing data solutions?

Enlighten the interviewer on your committed practices such as thorough documentation, code standardization, and continuous testing. Provide examples of how adhering to these practices has led to sustainable and efficient solutions.

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How would you mentor junior data engineers in your team?

Describe your approach to mentoring, including hands-on guidance, sharing resources, and fostering a culture of open communication. Share experiences where you've successfully supported junior engineers' growth and development.

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We are a private investment group that actively seeks projects with hidden investment potential. Our approach allows us to go where others are afraid to take the risk. We regard all investments in a broad context, with a clear and long-term vision...

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Full-time, remote
DATE POSTED
January 8, 2025

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