Senior Data Engineer
Senior Data Engineer
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Job Description
Hi there
As Factorial continues scaling our mission of boosting the next generation of peoplefirst SMBs were hiring Senior Data Engineers to scale our Engineering team.
The Team
Factorials 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 were not afraid to build whatever is necessary to fulfil our neighbour teams 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)
Were 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/Reactnative for the clients and we interact with Data through SQL on AWS but its 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 youre looking for new challenges in a peoplefirst 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 Factorials 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 usercentric 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 dont 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...)
Nicetohaves
- 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 dont 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 youre 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 were aligned.
For this seniorlevel position the annual gross salary is 60000 regardless of your location. This includes a base salary of 51000 and a variable pay of up to 9000 anualy and paid monthly depending on the companys goals.
To wrap up:
- Were looking for a Scala Data Engineers with Spark Streaming and Kafka experience.
- 60.000 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 and organic fruit
Free caffeine and theine
PetFriendly work environment
Is this you ! Come rock the world with us! We #betonpeople
About Factorial HR
Factorial is an company management software fastgrowing startup founded in 2016. Our mission is to help companies automate HR workflows centralise people data and make better business decisions. We currently serve thousands of customers in over 60 countries all over the world and across industries. Weve built a super diverse and multicultural team of over 700 people in Barcelona Brazil Mexico and EEUU offices in addition to the 150 engineering team that is spread across the globe.
Do you want to know more about us Weve won awards and received outstanding customer feedback since day one. Weve recently raised 120M in our series C funding bringing us to unicorn valuation with top international venture capital firms (Atomico Tiger CRV Creandum K Fund to name a few).
#LIRF1
Employment Type
Full Time
