Hi there 👋
As
Factorial continues scaling our mission of boosting the next generation of people-first SMB’s, we’re hiring a
Senior Data Engineer to scale our Data Platform team.
The Team
Factorial’s mission is to
empower business make better decisions, and data is a key component in achieving so.
Our Team is responsible of
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 fulfil our neighbour team’s needs.
Our data platform is already
offering the following services:
- Ingestion (SaaS APIs - Airbyte, DDBBs - Debezium, Streams - Kafka Connect)
- Storage (Data Lake - Delta, Stream Storage- Kafka)
- Catalogue (Atlan)
- Modeling (Metabolic/DBT)
- Activation (Hightouch)
- Exploration & Visualization (Superset/PowerBI)
- On demand Data Products (TinyBird)
We’re looking for Data Engineers to enable product and engineering teams use these and future services, and assist them in making
data products a first class citizen.
The Role
At 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 without depending on 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 listen, identify and evaluate new requirements from Stakeholders (Engineering, Product, Management, Sales, Customer Experience, Marketing, Growth).
- You will iterate and improve existing features of our platform as well as develop new ones.
- You will occasionally assist Data Analysts with their technical challenges.
- You will occasionally contribute in managing the platform from a DataOps point of view.
Your profile
- You are a team player: You are comfortable helping your teammates, sharing your knowledge, reviewing their code and asking for reviews of your own.
- You have a user-centric mindset: You know that the only reason we write code is to help the users of Factorial to perform their tasks.
- You like relaxed and fun environments: We work hard and we are committed to Factorial users but we do that in a fun and relaxed atmosphere. We don't take ourselves too much seriously.
- You are a learner: You want to improve your skills not only in the engineering field but across any other areas.
- You are an owner: You like proposing new hypotheses and be responsible for building, deploying and validating them.
- You love understanding: Breaking down complex problems into basic and shareable elements and you have evolved concrete implementations to abstractions before.
- You are a polyglot developer: You have experience in several coding languages, CI/CD tools and cloud technologies.
- You are a mentor: You love to share your experience and expertise to help others grow.
- You are comfortable communicating in English.
Your background
- Experience in building a modern Data Platform.
- Functional programming in Scala (or any other JVM language).
- Spark development, especially Structured Streaming, or equivalent (Flink, Beam, Samza,...)
Nice-to-haves
- Knowledge of the AWS Analytics Stack (Glue, S3, Athena, Redshift, Kinesis, Lake Formation)
- Advanced Analytical SQL knowledge.
- Some alternative coding experience, ideally with a background of web development.
- Some alternative infrastructure experience, ideally in Kubernetes.
- Some infrastructure as code experience, ideally with Terraform on Cloud.
- GitOps driven mentality and data CI/CD ideas.
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€ annualy 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 Scala Data Engineers with Spark Streaming and Kafka experience.
- 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:
- Syra discounts
- Breakfast and organic fruit
- Free caffeine and theine
- Pet-Friendly work environment
Is this you
?! Come rock the world with us! 🚀 We #betonpeople 💜
About Us 🚀
Factorial is an all-in-one HR Software fast-growing company founded in 2016. Our mission is to help SMEs automate HR workflows, centralize people 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 Values 🫀
- We 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!
