Data Engineer Senior Lead
Tinyclues, France

Tinyclues AI-first marketing platform is built with the latest technologies including ML frameworks like TensorFlow, Vertex, Kubeflow but also BigQuery, DataFlow ,. Our software stack is based on the Python ecosystem, natively designed for the cloud and deployed on Google Cloud Platform. We focus on using those technologies for what they do best.

The solution processes and analyzes hundreds of terabytes of data every day from our 100+ enterprise clients across 13 countries. It runs dozens of powerful and carefully designed Deep Learning algorithms to find the tiny clues in our clients’ first-party databases.

We believe empowering people is the most efficient way to build the best product together. The teams are organized in small amp; autonomous feature teams working on different business needs with agile methodologies.

Our innovative technology has led Tinyclues to be identified by leading IT analyst firm Gartner as a Vendor to Watch for digital marketing analytics and a Cool Vendor in multichannel marketing.

By joining Tinyclues, you will have an impact on one of top fast-growing start-ups with a unique AI-first vision, breakthrough predictive technology and proven global success.

In the SCRUM squad you will bring your expertise and your experience to manage topics from A to Z, present the chosen architecture, develop the feature and follow the release process with your teammates. At Tinyclues, we strongly believe teamwork and collaboration are keys to success.

The Data team

• Build,manage amp; improve several hundred data pipelines
• Design, Organize amp; Optimize our BQ data warehouse

They power our Deep Learning technologies, gather critical data from our clients using various means (Data Cloud/ GCS/ S3/ SFTP/API), they build easily consumable insights amp; deliver audiences to our marketing cloud partners. This is the core of the value proposition for Tinyclues.

Our specificity comes from the fact that we do this at scale, for 100+ clients and growing

Our challenges in the Data Team are :

• Multi Tenant : every client have its own data schema, ability to build flexible and configurable KPIs
• Scalability : Client data can be big but the computation and scoring we process for our client are even bigger
• Cost efficiency, linked to the amount of data to process for each client, we maintain the cost low to make profit

Requirements

• You are an engineer: given an issue, you search for the best and easiest way to tackle it and provide a reliable simple solution
• You always try to reuse the existing stacks when possible. You propose enhancement of the architecture only if it simplifies or prepares the future.( KISS : KeepItSimpleStupid)
• You have a master degree in an analytical field
• You have 5 years + of experience in a data team
• You are aligned with the startup spirit : go fast, fail fast, learn et iterate
• You understand the power and limitations of different data technologies and know how to turn them into accelerators to deliver client value
• You handle and share the global vision of the solution and you propose options to make the best choice with the stakeholders of the product and engineering and are able to define the right plan to tackle things in sequence of incremental value.
• Build together: you are a good communicant and you are emphatic, you understand the needs of your colleagues but you don't hesitate to defend your proposition and your solution
• You have worked with more junior engineers in the past and enjoy seeing them thrive by being a mentor and guiding them in their work
• You have been working in an Agile environment and are able to manage sprints,velocity etc
• You are fluent in English. French is a plus.

Technical skills

• You are a SQL guru : you are able to find the most cost-effective way to create an asset in our data layer
• You are a practitioner of orchestration technologies (Airflow, Kubeflow )
• You are Python fluent
• Knowledge of Google Cloud Platform would be appreciated
• Experience of BigQuery is a plus

Next steps

If you are ready to join our fast-paced company, apply below! I will personally review your application within the following week. If your profile and experience fit our requirements, I will invite you for a first phone call.

Job Rewards and Benefits