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Data Platform Engineer
hace 3 meses
La cultura del equipo de ingeniería:
Desplegamos pronto
- y a menudoNos centramos en un proyecto
- a la vezHacer tests son un problema de primer ordenSiempre buscamos talentoNos comunicamos de forma abierta y frecuente
Audiense is an equal opportunity employer, and we know it's our differences that makes us great, so we want to welcome people from all backgrounds to our family. We encourage black, brown, LGBTQ+, disabled, mums and dads to apply
Durante el proceso de solicitud, por favor, no dudes en compartir los pronombres que utilizas (ella/su, él/ella/él, ellos/ellas/ellos). Y haznos saber si necesitas alguna adaptación razonable para la solicitud o la entrevista.
The Company:
Audiense is an audience intelligence platform that combines rich social data sources with the world's leading cognitive and machine learning to provide social consumer segmentation and cultural insights.
It enables you to understand the audiences that matter to your business better as well as fueling a variety of use cases including buyer personas, social listening, influencer marketing or advertising.
We help marketers and consumer researchers identify relevant audiences, provide actionable insights and inform their strategies on how to grow their business.
- The role
- Who we're looking forWe're hiring a senior backend engineer to work in our data platform. Our data platform is the core of our product, and the data we process, curate, and enrich is what allows our customers to identify audiences, extract insights and inform their decisions.
We handle over one thousand million social profiles, enrich, classify and enhance them with the information that allows our customers to define their marketing campaigns, identify influencers and discover new market niches.
Ideally, you'll have experience working with data platform concepts such as datalakes, streaming pipelines (Kafka), ETLs, etc, but if you are a motivated quick learner with experience in even only a few of these concepts you'll pick things up.
We currently write code in Python, Typescript and Scala, however we try not to be locked into one particular technology.
We want to find individuals with potential, an interest to grow with us and help us improve.
As the data platform is the core of our product, we are dedicating a lot of effort and research to improving and developing it.
- Implementing Kafka consumers and producers as part of our recently deployed streaming oriented data pipeline (we have just migrated from batch oriented pipelines to a more real time oriented model with Red Panda at its core).
- Designing and deploying new enrichment processes to expand our social profiles, from machine learning processes that infer age range to interest identification algorithms (there's a lot of space for innovation here, and we are constantly looking for new technologies to apply).
- Creating Airflow DAGs to automate processes and make our lives easier when managing our Datalake.
- Writing and running Spark jobs to extract insights from our datalake that help us answer our customers' questions.
- Finding ways to optimise our query engine, enabling our customers to find better, more specific audiences.
Generally speaking, we're after individuals that understand the potential of the data we handle, are eager to learn as well as to teach, help us grow and feel comfortable exploring the possibilities of our product.
Having said that, we are more interested in what you have done than how long you have been doing it.
We'd love to hear about some of the projects you have been working on that could resonate with what we do:How it was built and how you took part in its success.
Our mindset, workflows and communication assume that we are all remote.
Almost everything is documented in Notion and/or Github:
from our
Product Engineering Principles
to our Apprentice Program**: Growth plans, learning path, architecture, protocols, onboarding, playbooks, design system, UX guidelines, etc.
We are fully committed to automating our daily routines so we can work efficiently whilst remote and be as autonomous as possible.
You will be joining a cohesive team (with an average of 4 years of experience together) in a very collaborative environment in which you will feel cared for from the start of your onboarding.
We expect you to align with our values and way of working, but we also value your input and are open to suggestions for improvement.
We have dedicated a lot of effort in declaring our
Product Engineering Principles and try to always keep them in mind in our every day decisions.
Salary and Benefits:
We are offering anywhere between 40k-55k€ depending on experience and impact.
We also offer several other benefits including:
- Pres
