Data Engineer (MarTech)

The Role

If you love to develop cutting-edge automated solutions to tough business problems with data that change how an organisation operates, this is a role for you.

At Dojo, the data function is a fascinating space, where you can really make an impact from day one. You will have the opportunity to play an important role in its development. We want you to bring your expertise with technology and experience in solving commercial problems into an environment where you’ll be working alongside other experts in both domains to scale our processes and make smarter decisions.

What you will do:

• Work with the analytics team to develop a robust data pipeline for our marketing activity across our websites, acquisition channels, and partners
• implement a robust offline conversion pipeline for ad platforms
• Manage and deliver the marketing technology data stack to help support our Marketing and Sales teams, including day-to-day operations and troubleshooting
• Keep our data processes and platforms up-to-date and champion best practices for data pipelines
• You’ll work closely with our Data Engineering team to ensure solutions developed sit comfortably within the organisational preferences on technology and methodology.

What you will bring:

• You have extensive experience developing ELT pipelines, data warehousing and automating processes.
• You are motivated by making a commercial impact through your work. You’re pragmatic and know when to use which technology.
• Some experience in implementing, maintaining, and optimising data pipelines for web tracking technologies (Braze, Google Analytics, Segment, Snowplow, Rudderstack, etc.)
• The knowledge and experience to implement best practice solutions to achieve the desired goal of tracking user behaviour correctly, making sure all solutions have the ability to store data in our data warehouse
• 3+ years experience in Python in the data engineering space.

Preferred:

You’ve got experience with:

• MPPs, especially BigQuery.
• Orchestrating workflows with Airflow.
• Some understanding of dbt (data build tool).
• Cloud services and infrastructure, preferably GCP.
• Implementing and following best practices in CI/CD and Git in a data environment.
• Some knowledge of BI dashboarding, especially Looker would be useful.
• You’re comfortable working in an agile environment.

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