Senior Data Engineer

Senior Data Engineer

Full-Time 43200 - 72000 £ / year (est.) No home office possible
Igbaffiliate

At a Glance

  • Tasks: Design and improve data infrastructure while managing data pipelines and security.
  • Company: Join Legend, a leading Sports and Gaming marketing company with a global presence.
  • Benefits: Enjoy flexible work-life balance, annual bonuses, and paid leave during festive seasons.
  • Why this job: Shape the future of player experiences with innovative data solutions and real ownership.
  • Qualifications: Experience with Snowflake, AWS, Python, and data modelling; familiarity with CI/CD tools.
  • Other info: Diverse team culture that values innovation and offers excellent career growth opportunities.

The predicted salary is between 43200 - 72000 £ per year.

About Legend

At Legend, we’re building next-level player experiences. With 20+ years of proven success we’re the world’s leading Sports and Gaming marketing company. Our people are our edge. 600+ sharp, ambitious Legends across 22+ countries who move fast, learn quickly and win together. Here growth isn’t a perk, it’s the standard. You’ll stretch, level-up and carve out a career as bold as the products we build. We celebrate wins and create experiences that people talk about for years - for our players & for each other. If you’re ready to shape the future of player experience and enjoy the ride while you do it, this is where you’ll thrive.

The Role

Legend is hiring a Senior Data Engineer, reporting directly to our Head of Data Engineering. In this role, you will have the possibility to build and own data products and platform functionalities that tangibly serve the business with the freedom to build and experiment. At Legend, you’ll get real ownership as a Senior Data Engineer - our team owns its entire infrastructure, giving you true end-to-end control. If you have a vision for how data platforms should be built and want the freedom to experiment with new tools and approaches, you’ll thrive here. We value innovation with purpose, so you can help shape the future of our data products.

In this role, we value diverse perspectives and encourage you to apply even if you don’t meet every qualification listed.

Your Impact

  • Design, manage, and improve the data infrastructure required by the teams that consume data.
  • Design, implement, manage, and improve processes and data pipelines that collect data from operational data sources and external data producers, normalise, standardise, and enrich them, and make them available to data consumers in an accessible and discoverable manner.
  • Design, implement, manage, and improve the data security measures in place to make sure data consumers can access the data they need, but only what they need and not more.
  • Make sure the produced data adheres to data quality measures and SLAs that make it appropriate to use by consumers.
  • Liaise with internal data producers and consumers to satisfy business requirements on a daily basis.

What You’ll Bring

  • In-depth familiarity with Snowflake and data modeling skills for analytical/transactional data systems.
  • Managing infrastructure, networking, and security on AWS using Terraform.
  • In-depth knowledge about workflow orchestrators, specifically Airflow or Dagster.
  • In-depth knowledge of Python and building data systems using Python. An understanding of API frameworks such as FastAPI and libraries such as Pydantic, and design, implementation, and deployment of APIs is preferred.
  • Knowledge of CI/CD measures and tools, such as GitHub Actions.
  • Preferred: knowledge of Kafka, dbt or SQLMesh, deployment of data governance tools such as data quality or data catalogue solutions, deployment of semantic/metric layer solutions such as Cube with self-serve tools or data visualisation tools integration.

The Interview Process

  • 1st: Initial Chat with Talent Partner (45 mins via Zoom)
  • 2nd: Technical Interview including a Technical Assessment and Technical Discussion (1.5 hours via Zoom)
  • 3rd: Values Interview including with Technical and Non-Technical team members (1 hour video via Zoom)
  • 4th: Final interview including Technical focus with the Hiring Manager and Tech Leadership team (1 hour video via Zoom)

Why Legend

  • Super smart colleagues to work alongside and learn from.
  • Tailored flexibility for your work-life balance.
  • Annual discretionary bonus to reward your efforts.
  • Paid annual leave PLUS a well-deserved break to recharge your batteries during the festive season! Our offices are closed between Christmas and New Year’s, allowing you to enjoy downtime without dipping into your annual allowance.
  • Long term incentive plan so we can all share in the growth and success of Legend.
  • Exciting global Legend events, where we unite in person to ignite our shared passion and unveil the exciting strategies for the year ahead!

Unlock your full potential by joining the Legend team. To support you on this journey, we provide an extensive array of benefits and perks, as outlined in our global offerings above. For country specific benefits please reach out to your talent partner.

Additional Information

Legend is an Equal Opportunity Employer, we’re dedicated to hiring diverse talent - 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 at talent@l1.com, and we’ll do all we can to support you.

Senior Data Engineer employer: Igbaffiliate

At Legend, we pride ourselves on being an exceptional employer, offering a dynamic work culture where innovation and collaboration thrive. As a Senior Data Engineer, you'll enjoy real ownership of your projects, the freedom to experiment with cutting-edge tools, and a supportive environment that prioritises your growth and work-life balance. With exciting global events, tailored flexibility, and a commitment to diversity, Legend is the perfect place for ambitious professionals looking to make a meaningful impact in the sports and gaming marketing industry.
Igbaffiliate

Contact Detail:

Igbaffiliate Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer

✨Tip Number 1

Get to know the company inside out! Research Legend's values, products, and recent projects. This will help you tailor your conversations during interviews and show that you're genuinely interested in being part of the team.

✨Tip Number 2

Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and even lead to referrals, which can be a game-changer in landing that Senior Data Engineer role.

✨Tip Number 3

Prepare for those technical interviews! Brush up on your skills with Snowflake, Python, and AWS. Practising common data engineering problems can help you feel more confident and ready to impress during the technical assessment.

✨Tip Number 4

Don’t forget to showcase your passion for innovation! During interviews, share examples of how you've experimented with new tools or approaches in your previous roles. This aligns perfectly with Legend's value of innovation with purpose.

We think you need these skills to ace Senior Data Engineer

Snowflake
Data Modelling
AWS
Terraform
Airflow
Dagster
Python
API Frameworks
FastAPI
Pydantic
CI/CD
GitHub Actions
Kafka
dbt
Data Governance Tools

Some tips for your application 🫡

Show Your Passion: When writing your application, let your enthusiasm for data engineering shine through! We want to see how excited you are about building innovative data products and platforms that enhance player experiences.

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Engineer role. Highlight your familiarity with Snowflake, AWS, and any relevant tools like Airflow or Python. We love seeing how your background fits into our vision!

Be Authentic: Don’t stress if you don’t meet every single qualification listed. We value diverse perspectives and want to hear your unique story. Be yourself in your application and share what makes you a great fit for our team!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re on your way!

How to prepare for a job interview at Igbaffiliate

✨Know Your Data Tools

Make sure you brush up on your knowledge of Snowflake, AWS, and Python. Be ready to discuss how you've used these tools in past projects, as well as any innovative approaches you've taken. This will show that you're not just familiar with the tech, but that you can leverage it effectively.

✨Showcase Your Problem-Solving Skills

Prepare to share specific examples of challenges you've faced in data engineering and how you overcame them. Highlight your experience with data pipelines and security measures, as this role requires a proactive approach to problem-solving and innovation.

✨Understand the Company Culture

Familiarise yourself with Legend's values and mission. During the values interview, be prepared to discuss how your personal values align with theirs. This will demonstrate that you're not only a technical fit but also a cultural one.

✨Ask Insightful Questions

Prepare thoughtful questions for each stage of the interview process. Inquire about the team dynamics, ongoing projects, or future innovations at Legend. This shows your genuine interest in the role and helps you assess if it's the right fit for you.

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