We are looking for a Data Engineer to join our Data Team. You will be responsible for developing, implementing, and monitoring the Data Pipelines of several games of the group. You will work inside the Data Team (1 Data Engineer, 2 Analytics Engineers, 4 Data Analysts, 1 Data scientist) and you will report to the Head of Growth and Data.
We use a modern data stack that is primarily composed of Google BigQuery, dbt, Airbyte, Prefect, Deepnote and Looker. The Data Engineering activities focus on GCP, Airbyte, Prefect but also includes Prometheus, Thanos, Graphana tools and Kubernetes nodes management.
The Data team at 52 entertainment is full of talents working on Business & Financial, Product and Marketing KPIs. It is a cross-functional team that connects with all business units (US, Europe, Asia).
The Data team is fully remote (but all the team is currently based in Europe). We are using top notch communication & project management tools (Slack/Jira/Confluence) and a fantastic stack of technical tools (Airbyte, Prefect, Google Big Query, dbt, Looker, …) .
We talk to each other on a daily basis and organize frequent virtual coffees ☕️.
Some are geeks, some are not, apply as you are, we’re a diversity-friendly team 🧕 👧🏽 🥷 👨🏿 👩 🦾.
Data: Airbyte, Prefect, Google BigQuery, dbt, Github, VSCode, Deepnote & Looker
Project Management: Slack, Google Drive, Confluence, Jira
Create, monitor, and optimize Data Pipelines for existing Games and third-party sources.
Manage relations with B.U. Developers and be proactive to prevent pipeline deprecation because of products evolution.
Ingest third-party data and setup data consumption endpoints.
Ensuring best practices for data integrity and performances.
Investigate new initiatives like Data Cataloging, Data Discovery, ML Ops
Provide our Data Scientists with Big Data tools that will allow them to process our data more easily (prediction, machine learning, …).
Between 1.5 and 4 years of experience of experience either in Data Engineering, Big Data or DevOps
Familiar with modern data stacks and principles (cloud-based platforms/data-lakes and managed services)
Skilled in SQL and Python
Experienced in working in interdisciplinary teams and in multi-cultural team environments
Strong communication skills and facilitation abilities
Priorities management & time management skills
Highly open minded
Diplomacy, pedagogy and humility
Fluent English.
Collecting applications until April 7th 2023
First interviews from March 27th 2023 onward.
Our hiring process is sequential : we know job seeking is a stressful time of life, and we’ll make sure things are transparent from our side. If you don’t pass step 2, we won’t waste your time on step3.