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Data Engineering Lead

ComeOn Group in short

Founded in 2008, ComeOn Group is a leading global player in the rapidly growing iGaming market. Having launched its first online brand in 2010, ComeOn Group is running a wide range of exciting brands across multiple markets. Operating more than 20 brands on its proprietary platform providing a secure, innovative and entertainment-led player experience across casino and sports betting. ComeOn Group is an international employer within the iGaming industry and has over 500 talented employees across 7 main locations.

Location: Stockholm, Sweden -Hybrid

You will be a part of the team responsible for the maintenance and further development of the existing company near real time data streaming solutions in a cloud environment (AWS / GCP), which acts as a data integration system for delivering data to 3rd parties (mostly regulatory systems). This position is ideal for someone who would like to grow their skill in business requirements analysis and scoping, design and development of near real time data streaming processes, and AWS/GCP cloud services.

The candidate will be responsible for leading the data engineering team, which is tasked with maintenance and further development of data streaming processes, ensuring that the data streaming processes are robust and the data quality of delivered data is high. Additionally, you will be responsible for monitoring of streaming processes in production environment and clear communication with relevant business and technical stakeholders when issues arise.

Responsibilities:

  • Business requirements and project scoping:

- Collaborate with business stakeholders on requirements analysis

- Data analysis of the source data (gaming platform) and mapping source data to target systems

- Project planning with the data team

- Participate in project update meetings with business stakeholders and product owners of the source system

- Detecting data issues on the source system and requesting improvements from source system tech teams, and follow up on those issues with data PO

  • Design and develop:

- Near real time data processes with large and complex data sets, making sure the solution is maintainable, built with reusable components and with optimal performance

- Reconciliation processes that check the streamed data is of high quality, ensuring no data loss between source and target and alignment with core financial reports when applicable

  • Focus on data quality assurance, verification of accuracy and consistency of data
  • Collaborate with data warehouse team on data quality testing vs core financial reports
  • Collaborate with QA team on source data and streaming processes testing
  • Maintain and support data streaming processes ensuring the loads are stable and the data is delivered to the 3rd parties in the stipulated time
  • Maintain clear communication with business about data load failures, inconsistent data and successful loads to the respective distribution groups
  • Troubleshoot and resolve issues with the data engineering team
  • Maintain transparent communication within the team / other technical and business departments within the company
  • Participate in daily / weekly team / project update meetings
  • Participate in brainstorming meetings to discuss existing issues and new ideas
  • Develop further current skill set both from technological and soft skills perspective

About you:

  • 6+ years of data-focused work experience (Data Streaming / Data Warehouse)
  • Strong experience in business analysis and requirements gathering from business users
  • Strong experience in data analysis and SQL query writing
  • Ability to obtain, analyse and synthesize information from multiple sources
  • Experience with scripting and programming languages like java, scala, python
  • Strong experience with troubleshooting problems related to data processes
  • Strong problem-solving skills
  • Experience with GCP/AWS cloud platform services will be considered an asset
  • Comfortable working in a fast-paced environment whilst interacting with a variety of different disciplines
  • Ability to prioritise and deal with problems systematically and provide clear communications regarding the issues, resolution times and solutions
  • Fluent in English

And then some nice to haves:

  • Work experience on supporting a data warehouse / streaming systems would be considered an asset
  • Experience within the iGaming industry and regulatory reporting would be considered an asset
  • Hold an academic degree in a quantitative discipline such as statistics, computer science or mathematics will be considered an asset

Benefits

So what can you expect from ComeOn as a place of work?

    • A competitive remuneration package! 💰
    • Fantastic quarterly team events and weekly company events 😎
    • A one-time bonus to help you set up a comfortable workstation at home (we’re truly Hybrid!)
    • On top of our Hybrid work arrangement, up to 40 days a year to work fully remote from anywhere 🌎
    • 30 paid vacation days a year
    • Generous pension and insurance benefits
    • Brand new laptop and smartphone with fully paid plan
    • Generous health subsidy benefit
    • Company events, including breakfast mornings and Friday beers

At ComeOn, we've embraced a Hybrid Work model, giving our employees the flexibility to work some days at home. Our offices are thoughtfully designed to support this model, featuring practical workspaces for focused efforts and collaborative zones for dynamic creative exchanges. We believe in the power of collaboration to drive innovation and success. While our offices are known for their vibrant atmosphere, rest assured that our primary focus is on achieving results together. We prioritise efficiency and maintain a balance between hard work and camaraderie. When you visit our offices, expect a warm welcome and professional support. Choose ComeOn for your next career move, and experience a workplace that values productivity, teamwork, and the spirit of collaboration.

At ComeOn Group we value diversity, and we take concrete action to ensure fairness in our recruitment process. We are committed to assess candidates on their merit without discriminating against any applicant for whatever reason that is protected by law. We truly value you, as you are. Want to know more about us just visit our website www.comeon-group.com or any of our social media channels to take a deep dive into our culture!

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CEO of ComeOn Group
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What You Should Know About Data Engineering Lead, ComeOn Group

Join ComeOn Group as a Data Engineering Lead and immerse yourself in the dynamic world of iGaming! Since our inception in 2008, we've become a driving force in this rapidly growing market, operating more than 20 brands on our proprietary platform and delivering thrilling player experiences across casino and sports betting. As a Data Engineering Lead, based out of our hybrid workplace in Stockholm, you will spearhead the data engineering team and work on our near real-time data streaming solutions within a cloud environment like AWS and GCP. Your expertise will help maintain high data quality and performance while collaborating with both technical and business stakeholders. You'll dive into business requirements analysis, data mapping, and project planning while leading your team to design and develop scalable data processes. Your role will also involve quality assurance and troubleshooting to ensure that our data systems are robust and efficient. If you’re looking for a place where you can grow your skills and make an impact while enjoying a supportive and innovative team environment, ComeOn Group is the right fit for you. Take the next step in your career where collaboration and creativity meet technology!

Frequently Asked Questions (FAQs) for Data Engineering Lead Role at ComeOn Group
What are the main responsibilities of a Data Engineering Lead at ComeOn Group?

As a Data Engineering Lead at ComeOn Group, your main responsibilities include leading a team focused on maintaining and developing data streaming processes. You'll engage in business requirements analysis, data quality assurance, project planning, and ensuring efficient communication with stakeholders, while working predominantly with AWS/GCP for cloud data solutions.

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What qualifications are required for the Data Engineering Lead position at ComeOn Group?

The Data Engineering Lead position at ComeOn Group requires at least 6 years of experience in data-focused roles, strong skills in business analysis and SQL, proficiency in programming languages like Java, Scala, or Python, and experience with cloud services such as GCP or AWS. A degree in a quantitative field is a plus.

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What kind of data processes will the Data Engineering Lead manage at ComeOn Group?

The Data Engineering Lead at ComeOn Group will manage near real-time data streaming processes, focusing on reconciliation, quality assurance, and troubleshooting of data integrity issues between source and target systems, ensuring timely delivery to 3rd parties.

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How does ComeOn Group ensure a healthy work-life balance for Data Engineering Lead roles?

ComeOn Group promotes a hybrid work model, allowing flexibility between home and office work. Employees enjoy up to 40 remote work days annually, 30 vacation days, regular team events, and a one-time bonus for setting up their home office, fostering a healthy work-life balance.

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What are the growth opportunities for a Data Engineering Lead at ComeOn Group?

As a Data Engineering Lead at ComeOn Group, you’ll have numerous growth opportunities to enhance your technological and leadership skills. You'll work on complex data projects and be engaged in brainstorming sessions, providing you ample chances to innovate and expand your skill set in a supportive environment.

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Common Interview Questions for Data Engineering Lead
Can you describe your experience with data streaming processes?

When answering this question, share specific projects where you led data streaming initiatives. Highlight the technologies you used, the challenges faced, and the results achieved to demonstrate your hands-on experience and problem-solving abilities.

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How do you approach business requirement analysis?

Explain your process for collaborating with stakeholders to gather business requirements. Mention any frameworks or tools you use to document, validate, and prioritize these requirements to illustrate your systematic approach.

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What programming languages are you proficient in that relate to data engineering?

Discuss your proficiency in relevant programming languages such as Java, Scala, or Python. Provide examples of how you've used these languages in past roles to solve data problems or develop efficient data processes.

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How do you ensure data quality and integrity in your projects?

Talk about the specific strategies you implement to test data quality, such as reconciliation processes and validation checks. Use examples from past experiences where your actions significantly improved data integrity.

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How do you communicate technical issues to non-technical stakeholders?

Share your strategies for simplifying complex technical problems for non-technical audiences. Highlight the importance of clarity and empathy, and give an example where effective communication led to swift resolution of issues.

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Describe a challenging data issue you've resolved in the past.

Narrate a specific instance where you encountered a significant data-related challenge. Detail how you identified the issue, the steps you took to resolve it, and what you learned from the experience to showcase your critical thinking.

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How do you prioritize tasks in a fast-paced environment?

Explain your task prioritization process, such as using frameworks or tools to manage time effectively. Mention the importance of adapting to changes and ensuring alignment with business requirements.

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Can you give an example of a project where you collaborated across teams?

Share a project experience where teamwork was key to its success. Detail the different teams involved, your role, and how effective communication and collaboration contributed to achieving project goals.

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What is your experience with GCP or AWS cloud services?

Discuss your hands-on experience with either GCP or AWS, mentioning specific services and tools you are proficient in. Describe how you used these cloud platforms to enhance data processing and streaming capabilities.

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What do you think is the most important skill for a Data Engineering Lead?

Reflect on the various skills necessary for a Data Engineering Lead. Emphasize leadership, communication, and technical skills, explaining how each contributes to the success of the role and the team's efforts.

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To offer all players a safe, entertaining and personalised experience through engaging brands and products by using the power of data and continuously striving to improve, simplify, and innovate.

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Full-time, hybrid
DATE POSTED
December 4, 2024

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