Mid/Senior Data Engineer

Hi there 👋

As Factorial continues scaling our mission of boosting the next generation of people-first SMB’s, we’re hiring Mid and Senior Data Engineers to scale our Engineering team. We just raised a new round to continue to provide organisations around the globe with the best tools, information and knowledge to help their people succeed.

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)
  • Activation (Hightouch)
  • Exploration & Visualization (Superset)
  • 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,...)


  • 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 are we doing it? We have a Career Path with a rubric framework where we define what is expected for each experience level and skill we're evaluating. This framework will allow you to know at which level you're right now and what do you need to continue growing in the company.

As we love transparency (it's one of our hiring values), our Career Path includes the salaries for each level and we share it during the first interview to make sure we're aligned.

We're a remote-friendly company so you can apply from anywhere in the world and English is our official language so this is the only one you need to succeed at Factorial!

To wrap up:

  • We're looking for a Scala Data Engineers with Spark Streaming and Kafka experience.
  • 40.000€-55.000€ Salary (Mid - Senior) + ESOP plan regardless of your location.
  • Remote-first work environment, the team is distributed.
  • 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 Factorial HR 🤓

Factorial is an all-in-one HR Software fast-growing startup founded 5 years ago. Our mission is to help small and medium companies automate HR workflows, centralize people data and make better business decisions. Currently serves thousands of customers in over 60 countries all over the world and across industries, it has built a super diverse and multicultural team of over +800 people in Barcelona, Brazil, Mexico and EEUU offices.

Do you want to know more about us? We've won awards and received outstanding customer feedback since day one. It has closed over 120M€ in funding with top international venture capital firms (Tiger, CRV, Creandum, Point Nine Capital and K Fund). Take a look and see how we started: The origin 🕳

Mid/Senior Data Engineer