Senior DataOps Engineer
Type of position:
Years of experience:
Paris or Remote
About the company
We are a B2B **Big Data** and **Business Intelligence** software-as-a-service company operating in the new e-commerce reality, Marketplaces.
At DataHawk, our mission is to help brands and retailers thrive on Amazon and other Marketplaces with our Search Engine Marketing, Market Intelligence, and Business Analytics software that assists them in growing their sales and improving their margins.
Every day, our technology collects and analyzes **trillions of data points** on products, search queries, brands, sellers, sales, and advertising efforts. This trove of uniquely blended data can be leveraged to give our clients unparalleled business insights.
About the role
We are looking for an **experienced DataOps** to join our Tech team. We need someone to help us improve our data pipeline architecture & performances. We expect **autonomy**, strong **communication** skills & capacity to help us scale in terms of Data Ops.
This open position comes at a particularly exciting time when we are accelerating these efforts and building our core organization.
**Your mission, should you choose to accept it**
Audit and enhance **performances** of our Databases/Data lakes (SQL Server/Spark/Snowflake...)
Create and maintain a state-of-the-art **Data Science and Machine Learning infrastructure** (Data life cycle, versioning, model creation...)
Be a **leader** and a **facilitator** for all Data-linked jobs company-wide.
Help us improve the **tools**, **automation**, and **monitoring** of our Data.
Basically, Improve the **quality of life** in terms of **Data Ops** for the fast-growing organization which is Datahawk.
For every checkbox you can thick below, add a point. If your total is above 15, you're the kind of battalion we want onboard - let's meet! If your total is above 20, holy #$^°#, we really, like really really should meet. And if your total is below 15 but you really think you can be a great asset to the team, show us why ;)
\[ ] Academic background in Computer Science, Engineering, Data or similar
\[ ] Collaborative work in a human-sized team
\[ ] A solid experience as a DataOps engineer
\[ ] You know your way around a DataOps environment
\[ ] Experience in SQL Server
\[ ] Knowledge of Spark or Snowflake
\[ ] Experience in Machine Learning and Data-Science frameworks
\[ ] Good understanding of Azure cloud infrastructure
\[ ] Ability to work in a Microsoft environment (Windows, C#, SSMS...), Linux knowledge is a plus.
\[ ] Scripting capabilities (PowerShell, Python, Azure CLI...)
\[ ] Expertise in DevOps tools (Terraform, Docker, Kubernetes...)
\[ ] Fluent in English
\[ ] Autonomous and self-organized
\[ ] Healthy Passion: Keep up-to-date on advances in the field
\[ ] Ability to rapidly identify opportunities for improvement and provide creative solutions
\[ ] Comfortable with peer-working, reviews, etc.
\[ ] Agile problem solving: Understand the question behind the question and break down the problem into smaller, more easily solvable pieces
\[ ] Self-Starting Motivation: Experiment and explore; take risks, but stay persistent while facing roadblocks
\[ ] Hustle: you’re fearless about doing whatever it takes to get the job done, even if it means making mistakes along the way
\[ ] Highly energetic, self-motivated and results-driven person
\[ ] Empathic with customers & team pains