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- Tasks: Lead and scale data engineering teams, integrating advanced solutions for Gaming, Sports, and Money.
- Company: Join Legend, a dynamic company revolutionising iGaming and personal finance across 18 countries.
- Benefits: Enjoy hybrid working, career growth opportunities, and a vibrant team culture.
- Why this job: Shape the future of data engineering while driving impactful changes in a fast-paced environment.
- Qualifications: 10+ years in engineering management with expertise in big data platforms and cloud environments.
- Other info: We celebrate diversity and are committed to creating an inclusive workplace.
The predicted salary is between 54000 - 84000 £ per year.
We’re Legend. The team quietly building #1 products that make noise in the most competitive comparison markets in the world. iGaming. Sports Betting. Personal Finance.
We exist to build better experiences. From amplified career paths to supercharged online journeys — for our people and our users, we deliver magic rooted in method. With over 500 Legends and counting, we’re helping companies turbocharge their brand growth in over 18 countries worldwide.
If you’re looking for a company with momentum and the opportunity to progress at pace, Legend has it.
Unlock the Legend in you.
Location: London – Hybrid working
As our Head of Data Engineering , you will lead and scale a data engineering department aligned with our business vision, integrating advanced data solutions into our white-labelled, multi-tenant platforms for Gaming, Sports, and Money. You\’ll guide your teams in building scalable data capabilities for collection, processing, and modelling, supporting rapid brand expansion and enhancing customer experiences.
As a leader, you\’ll drive best practices and outcome-focused development, empowering teams to take full ownership of Legend\’s data platform. You\’ll also play a strategic role in shaping the future of Legend\’s engineering organization, leading transformative changes with lasting impact.
Your Impact:
- Lead and shape highly motivated data engineering teams, overseeing the end-to-end design and operation of large-scale cloud-based data infrastructure (Snowflake, AWS), ensuring high availability, security, and automation.
- Champion engineering excellence and foster collaboration with product engineers, data scientists, and stakeholders to optimise data models, improve governance and quality, and deliver new analytical products.
- Run mission-critical services alongside product teams, continuously improving data infrastructure performance, availability, and seamless integration with production systems.
- Establish and drive best practices for a culture of collaboration and operational excellence, focusing on incident resolution, fault tolerance, and self-healing systems.
- Provide leadership and guidance to set the data engineering function on a path of continuous improvement and growth, supporting the company’s rapid expansion.
- Promote a data-driven approach, ensuring infrastructure and pipelines support decision-making and data-driven innovation across all business units.
What You\’ll Bring:
- 10+ years of experience in engineering management, leading and motivating teams responsible for distributed big data platforms, data pipelines, and reporting products, ideally in cloud environments (e.g. Snowflake, AWS).
- 6+ years of hands-on technical leadership in building large-scale, distributed data pipelines and reporting tools using big data technologies (e.g. Spark, Kafka, Hadoop), ensuring quality, scalability, and governance.
- Strong expertise in balancing trade-offs within complex distributed systems, focusing on data quality, performance, reliability, availability, and security.
- Proficient in software engineering with modern languages (e.g. Python, Scala, Java), applying best practices to create maintainable, scalable, and robust code.
- A continuous learner, up-to-date with the latest technology trends, with the ability to assess new technologies pragmatically and with a long-term vision.
Legend is an Equal Opportunity Employer, but that’s just the start. We believe different perspectives help us grow and achieve more. That’s why we’re dedicated to hiring and developing the most talented and diverse team- which includes individuals with different backgrounds, abilities, identities and experiences. If you require any reasonable adjustments throughout your application process, please speak to your Talent Partner or contact the team , and we\’ll do all we can to support you. #J-18808-Ljbffr
Head of Data Engineering employer: Legend Corp
Contact Detail:
Legend Corp Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering
✨Tip Number 1
Familiarise yourself with the latest technologies mentioned in the job description, such as Snowflake and AWS. Being able to discuss your hands-on experience with these platforms during interviews will demonstrate your technical expertise and alignment with Legend's needs.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've successfully led data engineering teams in the past. Highlight specific projects where you drove best practices and fostered collaboration, as this aligns closely with the role's requirements.
✨Tip Number 3
Network with current or former employees of Legend on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your interview process.
✨Tip Number 4
Prepare to discuss your approach to continuous improvement and innovation in data engineering. Be ready to share how you've implemented new technologies or processes that have positively impacted your previous teams or projects.
We think you need these skills to ace Head of Data Engineering
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Head of Data Engineering position. Tailor your application to highlight your relevant experience in leading data engineering teams and managing large-scale data infrastructures.
Highlight Relevant Experience: In your CV and cover letter, emphasise your 10+ years of experience in engineering management and your hands-on technical leadership in building distributed data pipelines. Use specific examples to demonstrate your expertise with technologies like Snowflake, AWS, Spark, and Kafka.
Showcase Leadership Skills: As a leader, it's crucial to showcase your ability to motivate and guide teams. Include examples of how you've fostered collaboration, driven best practices, and supported continuous improvement in previous roles.
Tailor Your Application: Make sure to tailor your application specifically for Legend. Mention their focus on data-driven innovation and how your vision aligns with their goals. This shows that you've done your homework and are genuinely interested in contributing to their mission.
How to prepare for a job interview at Legend Corp
✨Showcase Your Leadership Experience
As a candidate for the Head of Data Engineering, it's crucial to highlight your experience in leading and motivating teams. Prepare specific examples of how you've successfully managed data engineering projects, focusing on team dynamics and outcomes.
✨Demonstrate Technical Expertise
Be ready to discuss your hands-on experience with big data technologies like Spark, Kafka, and Hadoop. Provide insights into how you've built scalable data pipelines and reporting tools, and be prepared to answer technical questions that assess your knowledge of cloud environments such as Snowflake and AWS.
✨Emphasise Collaboration Skills
Collaboration is key in this role. Share examples of how you've worked with product engineers, data scientists, and other stakeholders to optimise data models and improve governance. Highlight any initiatives you've led that fostered a culture of collaboration within your teams.
✨Prepare for Strategic Discussions
Since you'll play a strategic role at Legend, be prepared to discuss your vision for the future of data engineering. Think about how you would drive transformative changes and support the company's rapid expansion, and be ready to articulate your ideas clearly during the interview.
