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Data Platform Engineer
4 months ago
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
During the application process please feel free to share which pronouns you use (she/her/hers, he/him/his, they/them/theirs). And please let us know if you need any reasonable adjustments for the application or the interview.
The CompanyAudiense 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.
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.
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.
- 100% remote and flexible schedule.
- Free day on your birthday.
- Wellness days: Two free days per month. (That means we have 4.5 days working weeks)
- Rewards for hitting quarterly targets.
- One month paid sabbatical leave for all employees who make it to 5 years with Audiense.
- Monthly remote global team bonding activities.
- Quarterly engineering meetups, 3 days of retrospective sessions, hacking, team building and leisure in Córdoba.
- Yearly global all hands, 3-4 days of team building and leisure sessions for all the company.
- English lessons. Furniture/Accessories allowance via Hofy.
- 2 Duvet Days per year.
- Allowance towards therapy sessions.
Send an email to jobdev@audiense.com introducing yourself and telling us why you fit the profile we are looking for. Your CV will also be useful but it is not the most important.
If you pass the initial application filtering, or we contact you directly, your first interview will be with the data platform team lead (Javier Baena). You’ll have a second interview with some members of the team. This is a great opportunity to ask your future teammates any questions you may have. Then we would look for a way to validate your skills and experiences. The best way to accomplish this is by pair programming with our team on real tasks. The more time we spend pairing, the more we can both validate if we like each other and especially if you like our way of working, the challenges and the team. Of course, we would pay for your time. If this approach doesn’t work for you, we would try to offer other alternatives. Lastly you will have a quick talk with Alfredo Artiles, our CTO in which you can ask any final question you may have. If you decide to join our team, this will be the ideal onboarding:- Over the first few days you will be assigned a mentor who will help you set up your computer as needed and mentor you for the following months. He will explain all the workflows that we are familiar with and hope you will become familiar with as well.
- From day 1 you will become a part of the usual development flow: solving team issues and deploying code to production several times a day.
As our development flow is adapted to pair programming your contribution will be very progressive, and you will always have someone to revert to with any questions you may have.
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