Hi there ?
As Factorial continues on our mission of boosting the next generation of people-first SMB's, we're hiring a Senior Analytics Engineer to help.
The Team and YouFactorial's mission is to empower businesses to make better decisions, and data is a key component in doing so. Analytics Engineers are responsible for unlocking communication between the different areas despite the technological stack by offering a self-service platform that allows fast data-driven products. We act under the data mesh principle and we're not afraid to build whatever is necessary to fulfill our partner team's needs. Our data platform is already offering the following services:
Ingestion (SaaS APIs, DDBBs, Streams)Storage (Data Lake, Stream Storage)Catalogue (Atlan)Modeling (Metabolic)Activation (Hightouch)Exploration & Visualization (Preset)On-demand Data Products (TinyBird)We're looking for an Analytics Engineer to enable the product and engineering team to use these and future services, and to assist them in making data a first-class citizen.
The RoleAt Factorial, we have a team of +150 very talented developers. We are looking for engineers who can wear many hats, abstract problems, and find creative solutions. We look for smart people who are curious, proactive and have good soft/communication skills.
We are not looking for a long list of skills and technologies. Our web stack is Ruby on Rails for the backend and React/React-native for the clients, and we interact with Data through SQL on AWS, but it's not mandatory to be proficient in those (most of the team came with other areas of expertise which is very enriching). We believe that someone who has good aptitudes and is hungry for learning is what works best.
If you're looking for new challenges in a people-first company no matter where you live, this is what to expect:
You will evangelise the use of our Data Platform among technical users and empower the creation of Factorial's next Data Products.You will help stakeholders analyse their data: as you grow more comfortable in the business domain, you will be able to ask the right questions as well as craft the queries to answer them.You will listen, identify and evaluate new requirements from Stakeholders (Engineering, Product, Management, Sales, Customer Experience, Marketing, Growth).You will occasionally contribute in managing the platform from a DataOps point of view. Your BackgroundKnowledge of the AWS Analytics Stack (Glue, S3, Athena, Redshift, Kinesis, Lake Formation)Advanced Analytical SQL knowledge.GitOps driven mentality and data CI/CD ideas. Nice to HaveHands-on with Kafka.Spark development, especially Structured Streaming, or equivalent (Flink, Beam, Samza,...)Some infrastructure as code experience, ideally with Terraform on Cloud.Some alternative coding experience, ideally with a background of web development. At Factorial we don't evaluate you by the years of experience you have, we evaluate your knowledge and skills. How? We have a Career Path with a rubric framework where we define what is expected for each experience level and skill. This framework allows you to know at which level you're right now and what you need to keep growing. As we love transparency, our Career Path includes the salaries for each level and we share it during the first interview to make sure we're aligned.
For this senior-level position, the annual gross salary starts at 60,500€ regardless of your location. This includes a base salary of 55,000€ and a variable pay of up to 5,500€ annually and paid quarterly, depending on the company's goals. We top it with an Employee Stock Options Plan.
To Wrap Up:We're looking for a Senior Analytics Engineer with AWS Analytics Stack and advanced SQL skills.60.500€ Salary (Senior) + ESOP plan.1.000€ of annual Learning and Development budget.A safe and diverse environment to grow and make an impact. And When at the Office...Breakfast in the office and organic fruit.Nora and Apetit discounts.Free caffeine and theine.Pet Friendly. About UsFactorial is an all-in-one HR Software fast-growing company founded in 2016. Our mission is to help SMEs automate HR workflows, centralize people's data, and make better business decisions. Currently, we serve thousands of customers in over 60 countries worldwide and across industries, and we have built a diverse and multicultural team of over 900 people in our Barcelona, Brazil, Mexico, and US offices.
Our ValuesWe own it: We take responsibility for every project. We make decisions, not excuses.We learn and teach: We're dedicated to learning something new every day and, above all, sharing it.We partner: Every decision is a team decision. We trust each other.We grow fast: We act fast. We believe that the worst mistake is not learning from them.Wanna learn more about us? Check our website!
#LI-RF1
#J-18808-Ljbffr
