Head of Data Engineering

Legend Corp; London; Hybrid; GBP 80,000 - 120,000; Full time

Job summary

Join a forward-thinking company as the Head of Data Engineering, where you'll lead dynamic teams to innovate and enhance data solutions for various industries. This role offers the chance to shape the future of data engineering while fostering a culture of excellence and collaboration. With a focus on building scalable data capabilities and driving best practices, you'll play a crucial role in supporting the company's rapid growth and transformation. If you're passionate about data and leadership, this is the perfect opportunity to unlock your potential and make a significant impact in a vibrant and diverse environment.

Qualifications

• 10+ years in engineering management with a focus on big data platforms.
• Hands-on experience in building large-scale data pipelines and reporting tools.

Responsibilities

• Lead data engineering teams to design and operate cloud-based data infrastructure.
• Drive best practices for collaboration and operational excellence in data management.

Skills

Engineering Management

Data Pipeline Development

Cloud Environments

Software Engineering

Data Quality Assurance

Team Leadership

Tools

Snowflake

AWS

Spark

Kafka

Hadoop

Python

Scala

Java

Job description

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 [e-mail], and we'll do all we can to support you.