Hard Rock Digital
Principal Data Engineer

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What are we building?
Hard Rock Digital is a team focused on becoming the best online sportsbook, casino, and social gaming company in the world. We’re building a team that resonates passion for learning, operating, and building new products and technologies for millions of consumers. We care about each customer interaction, experience, behavior, and insight and strive to ensure we’re always acting authentically.
Rooted in the kindred spirits of Hard Rock and the Seminole Tribe of Florida, Hard Rock Digital taps a brand known the world over as the leader in gaming, entertainment, and hospitality. We’re taking that foundation of success and bringing it to the digital space - ready to join us?
What’s the position?
We are looking for a Data Engineer to join our quickly growing product and technology teams. This position will report into our reporting team which will build data automation applications to ensure accurate and timely reports. Beyond reporting, this position has potential to grow to touch all aspects of the real money gaming operation, from customer service to data science applications.
As a Principal Data Engineer, you will:
- Be a strong technical person on our team who helps drive innovation
- Be responsible for producing and maintaining critical data deliverables / pipelines
- Be technically talented, able to contribute quality code
- Be responsible for the quality, scope, and timeliness of all your deliverables
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Because we operate with a startup mindset, we will be reliant on your technical skill, but also your passion and ownership over all aspects of your work. We are looking for individuals passionate about data in general, data technologies, and the use of these technologies to automate business processes.
What are we looking for?
We are looking for an engineer who is willing to tackle problems with innovative ideas and quality technical implementations. We believe the perfect candidate isn’t interested in just what we’re building right now, but wants to understand where we’re going and how it impacts the downstream consumer or customer to ensure everything we create moves us closer to our goal: to optimize all aspects of online gaming and providing the best overall customer experience.
The ideal candidate will have:
- Degree in computer science, a related field, or equivalent work experience (10+ years)
- Strong communication and collaboration skills (both written and verbal)
- Experience using AI to enhance the full data life cycle
- Proven track record at using technology to automate data processes
- Strong SQL skills, including Jinja templating / DBT
- Experience with Snowflake and Airflow (Astronomer)
- Experience in environment using dbt and Snowflake
- Experience with Python including exposure to data science packages (NumPy, Pandas, scikit-learn)
- Experience manipulating, processing and extracting value from large, disconnected datasets (Spark)
- An understanding of AWS Cloud technologies and how to create scalable applications
- Exposure to and interest in the following technologies:
- AWS Serverless and serverless-supported languages
- SQL and/or NoSQL experience (ex, MySql, Cassandra, DynamoDB, Snowflake)
- Streaming technologies (Amazon Kinesis, Kafka)
- Message Queues (SQS, RabbitMQ, ActiveMQ)
- Comfort working within an agile development cycle and exposure to:
- Linux development
- Git and versioning software
- Build systems (Maven, SBT, Gradle, etc) and common build patterns
- Experience automating data flows and reporting in a regulated environment a plus


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What’s in it for you?
We offer our employees more than just competitive compensation. Our team benefits include:
- Competitive pay and benefits
- Flexible vacation allowance
- A hybrid / remote working environment
- Startup culture backed by a secure, global brand
- Roster of Uniques
We care deeply about every interaction our customers have with us, and trust and empower our staff to own and drive their experience. Our vision for our business and customers is built on fostering a diverse and inclusive work environment where regardless of background or beliefs you feel able to be authentic and bring all your talent into play. We want to celebrate you being you (we are an equal opportunity employer).
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