Data Platform Engineer

hace 3 semanas

En remoto, España audiense A tiempo completo

**Engineering culture**:
Ship early
- and often

Only one project
- at a time

Testing is a first
- class problem
- ️

Always be
recruiting
Communicate openly and frequently

**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

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

We’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.

You’ll be working in a fully _remote,_ cross-functional team. 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. Here are some example projects you may _work_ on:

- 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.

Who we're looking for

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.

You’ll probably have at least 3-4 years’ experience working in the backend engineering field. 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:

- Monthly subvention for co-workings.
- Learning days. You can learn during working hours.
- Training budget that includes unlimited access to O’Reilly Online Learning and Codely.tv catalogue, plus attendance to events and specialised trainings

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