Senior Data Engineer in London

Senior Data Engineer in London

London Full-Time 36000 - 60000 £ / year (est.) No working from home possible
Legend

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 exciting global events.
  • Other info: Diverse team culture that values innovation and personal growth.
  • Why this job: Take ownership of data products and innovate in a dynamic environment.
  • Qualifications: Experience with Snowflake, AWS, Python, and data modelling is essential.

The predicted salary is between 36000 - 60000 £ 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.

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.
Engaging development opportunities at all levels.
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.
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.

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 on [email protected], and we'll do all we can to support you.

Senior Data Engineer in London employer: Legend

At Legend, we pride ourselves on being a dynamic and innovative employer where your growth is not just encouraged but expected. As a Senior Data Engineer, you'll enjoy the freedom to experiment and build impactful data products within a collaborative culture that celebrates diversity and creativity. With tailored flexibility, engaging development opportunities, and exciting global events, working at our vibrant location means you’ll thrive both personally and professionally while shaping the future of player experiences.

Legend

Contact Details:

Legend Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer in London

Tip Number 1

Network like a pro! Reach out to current employees at Legend on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections!

Tip Number 2

Prepare for those technical interviews by brushing up on your skills. Dive deep into Snowflake, AWS, and Python. Practice coding challenges and be ready to discuss your past projects in detail. Show them what you can bring to the table!

Tip Number 3

Don’t underestimate the power of soft skills! During the values interview, be sure to showcase your teamwork and communication abilities. Legend values diverse perspectives, so share your unique insights and experiences.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Legend team. Let’s get you that Senior Data Engineer role!

We think you need these skills to ace Senior Data Engineer in London

Data Infrastructure Design
Data Pipeline Management
Data Security Measures
Data Quality Assurance
Snowflake
Data Modelling
AWS

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. Share your vision and what drives you in this field.

Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Snowflake, AWS, and any relevant tools like Airflow or Python. We love seeing how your skills align with what we’re looking for!

Be Authentic:Don’t be afraid to show your personality in your written application. We value diverse perspectives and want to know who you are beyond your technical skills. Share your unique experiences and how they’ve shaped your approach to data engineering.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re serious about joining our team at Legend!

How to prepare for a job interview at Legend

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 Their Values

Since Legend values diverse perspectives, be prepared to discuss how your unique background and experiences can contribute to their team. Think about how you can align your personal values with theirs, especially around collaboration and innovation.

Ask Insightful Questions

During the interview, don’t hesitate to ask questions about their data infrastructure and future projects. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your career goals. Plus, it gives you a chance to demonstrate your knowledge and curiosity about the field.