Senior Data Engineer - Recommendations

Live shows make us feel good. They’re a time to hang with our friends, discover new artists or lose ourselves on a dance floor. We’re on a mission to bring all of this to more fans, more often – and that’s where you come in.

We’re looking for a Senior Data Engineer to join our rapidly evolving Data Platform team, to help us scale our data platform to make DICE more reliable and impactful for our partners and customers.

At DICE, you’ll be part of the company that’s redefining live entertainment. It’s a place where you can be yourself, influence the culture, and create work that you’re proud of.

You’re an experienced individual who is passionate about building and scaling data products, enhancing data platforms, and comfortable supporting the diverse needs of multiple teams. You’ll be in an inspiring and fast-moving environment working closely with developers, data scientists, data analysts, analytics engineers and product managers. You’ll be building data tools, designing highly scalable systems, and testing theories to arrive at essential insights that will help disrupt a global industry.

You will contribute to improving our ways of working and establishing standards across the data team.

We work in an iterative approach, designing, building and trialling out new concepts quickly to test our assumptions and create the best service for our fans & partners. We also continue to pursue the best approaches to the many challenges we face in delivering highly scaled and richly personalised services. We want engineers open to collaboration and who want to be an integral part of the product improvement process.

Joining a team of experienced engineers to work on our data products and platform. This work may include deprecating legacy systems and building new solutions.

Working with Product Managers and other engineers to support the formulation and implementation of a data engineering strategy.

Having the opportunity to take ownership of end-to-end projects that are aligned with our business objectives, and to plan a roadmap for its delivery.

Bringing the team to a higher level of technical maturity by establishing best practices, overcoming siloed thinking, and encouraging collaborations.

Actively liaising with the Data Engineering Manager, Product Managers, Analytics Engineers, Data Analysts and Data Scientists to build the most optimal solutions for DICE.

Passionate, humble and talented.

• A fan of music and culture.
• Actively responsible and a problem solver.
• Inspiring and collaborative.
• Eager to build apps that make a positive impact on the world.
• Up-to-date with technologies and techniques, and you know when to use them.
• A role model and mentor for other data engineers.

Proven experience as a Data Engineer with 4+ years of experience in building solutions, whilst also bringing a strategic outlook ahead.

Experience in building at scale, high-reliability end-to-end data solutions for both batched and streamed pipelines.

Extensive knowledge in data engineering best practices and evidence of successful implementation of the same.

Excellent knowledge of various data warehousing technologies for gathering and consolidating data from multiple sources, including streaming and serving real-time data.

Experience with streaming technologies such as Kafka, Kinesis or similar.

Experience with workflow orchestration software, such as Prefect, Airflow, or similar.

Experience in Agile methodologies, Dev Ops, CI/CD, Docker/Kubernetes and infrastructure-as-Code, e.g. Terraform

Solid development experience with Python (other programming languages are a plus)

Advanced SQL skills (Relational Querying), e.g. Postgresql or similar, and knowledge of No

SQL DBs.

Extensive knowledge of AWS tech stack.

Strong grasp of version control and CI workflows (e.g. Git Hub Actions), and comfort working in Unix environments.

Experience with a recommendation/personalisation platform.

Experience designing, maintaining, and interfacing with REST APIs.

Knowledge of dbt.

Knowledge of A/B testing or multivariate testing frameworks.

• Experience in deploying data science workflow/MLOps.

Knowledge of data governance, security &…