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For Companies At a Glance
- Tasks: Build and enhance data products while experimenting with innovative tools.
- Company: Join Legend, a leading company in iGaming and sports betting.
- Benefits: Enjoy flexible work-life balance, annual bonuses, and paid festive leave.
- Why this job: Make a real impact on data infrastructure and contribute to exciting projects.
- Qualifications: Familiarity with Snowflake, Python, and cloud infrastructure is preferred.
- Other info: Diverse team culture with opportunities for growth and learning.
The predicted salary is between 28800 - 48000 £ per year.
About Legend
We’re Legend. The team quietly building #1 products that make noise in the most competitive comparison markets in the world: iGaming, Sports Betting, and 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.
The Role
Legend is hiring a Data Engineer, reporting directly to our Head of Data Engineering. In this role, you will have the possibility to build and contribute to 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 Data Engineer - our team owns its entire infrastructure, giving you true end-to-end impact. If you want to be part of a team that builds data platforms with 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
- Contribute to improvements to the data infrastructure required by the teams that consume data.
- Contribute to improvements to the 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.
- Contribute to 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
- Good foundational familiarity with Snowflake (or an equivalent modern cloud data warehouse tool) and data modeling skills for analytical/transactional data systems.
- Managing cloud infrastructure, networking, and security on AWS using Terraform.
- Good foundational knowledge about workflow orchestrators, specifically Airflow or Dagster.
- Good knowledge of Python and using Python to build data pipelines.
- Knowledge of CI/CD measures and tools, such as GitHub Actions.
- Highly preferred: working knowledge of data transformation tools such as dbt or SQLMesh.
- Preferred: having been involved in the deployment of data governance tools such as data quality or data catalogue solutions.
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.
- 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.
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.
Data Engineer employer: Igbaffiliate
Contact Detail:
Igbaffiliate Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Get to know the company inside out! Research Legend's products and values so you can speak their language during interviews. This shows you're genuinely interested and ready to contribute to their mission.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. A friendly chat can sometimes lead to insider tips or even a referral, which can give you a leg up in the hiring process.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your Python skills and be ready to discuss data pipelines and cloud infrastructure. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to showcase your unique perspective! During interviews, share your ideas on how you can improve data processes or security measures. This is your chance to demonstrate your innovative thinking and how you can add value to the team.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data engineering! Share specific examples of projects or experiences that highlight your skills and passion for building data products. We love seeing candidates who are genuinely excited about the work they do.
Tailor Your Application: Make sure to customise your application to fit the Data Engineer role at Legend. Highlight your experience with Snowflake, AWS, and any relevant tools like Airflow or dbt. This helps us see how you can contribute to our team and the exciting projects we have lined up.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your skills and experiences, making it easy for us to understand your qualifications. Avoid jargon unless it's necessary, and remember, clarity is key!
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right place and allows us to process it efficiently. Plus, it’s a great way to explore more about Legend and what we stand for!
How to prepare for a job interview at Igbaffiliate
✨Know Your Tools Inside Out
Make sure you’re well-versed in Snowflake, AWS, and Python. Brush up on your data modelling skills and be ready to discuss how you've used these tools in past projects. Being able to share specific examples will show your hands-on experience.
✨Prepare for Technical Assessments
Since the interview includes a technical assessment, practice common data engineering problems and scenarios. Familiarise yourself with workflow orchestrators like Airflow or Dagster, and be prepared to explain your thought process as you solve problems.
✨Understand Data Security and Quality
Be ready to discuss data security measures and quality assurance practices. Think about how you’ve ensured data integrity in previous roles and be prepared to suggest improvements based on your knowledge of data governance tools.
✨Show Your Collaborative Spirit
Legend values diverse perspectives, so highlight your experience working with cross-functional teams. Be prepared to discuss how you’ve liaised with data producers and consumers to meet business requirements, showcasing your communication skills and teamwork.