In short: Full-time position in Berlin or Europe remote. Please only apply if you are currently residing in Europe. Competitive salary & stock options in the company. We are building a phone plan you'll love.
We are Gigs
Gigs is a telecom-as-a-service company building a global connectivity platform.
Our core product is an API that connects telecom networks from multiple countries:
For businesses: we make it simple to integrate through a single API and sell phone and data plans to their customers.
For consumers: we make it simple to subscribe to and manage a phone plan with a few clicks. A phone plan you’ll love to use yourself. Easy, transparent & globally connected for your smartphone, smartwatch, or IoT device.
We are backed by Google Gradient Ventures and Y Combinator, as well as the investors behind Facebook, Dropbox, and Airbnb. As part of Gigs, you will have access to the teams, resources, and support from any company we work with. We count on a team of world-class advisors and angel investors that can help us in tricky situations.
The Position
You’ll be part of a close knit data team. We take care of data end to end. Hop on board to help Thao, Michaël,Franz & Chris, and improve Gigs’ data stack and deliver business impact from day one.
You will drive the Data Engineering roadmap. You will bring your experiences to the table to help us decide where we continue to invest our time and drive our data platform forward.
You’ll dive into improving our data pipelines and data modelling. You’re joining in the early stages of improving our data platform. Setting up testing, monitoring and alerting to allow us to sleep knowing that if things break we can recover quickly.
You’ll ensure that the content we build will scale to help accelerate growth. When developing data models you keep trade-offs top of mind, are sensitive to tech debt and prioritize resolving it in the future. From a usability perspective but also by keeping costs in check and anticipating what queries might need tweaks.
You’ll leverage best-in-class data tools. Our current data stack is built on top of Fivetran, Pubsub, Bigquery, dbt and Looker. We leverage internal event data and external data sources to build powerful data products for our customers and internal stakeholders.
You will be material in scaling our data engineering practices. Whether that revolves around improving data modelling practices, monitoring our pipelines, implementing a scheduler, solving for data quality improving our data sharing capabilities together with engineering - you will have impact in different places.
Requirements
We know that perfect candidates don’t exist. Even if not all of this applies to you, we’d love to learn more about you.
This is not your first rodeo. With 5+ years of experience, you are a knowledgeable and seasoned data professional with experience in high-growth tech companies. You have a proven track record of successfully managing all aspects of data products throughout their lifecycle and have managed multiple stakeholders in a fast-paced environment.
You eat flexible for breakfast. You can grapple with ambiguity and and can quickly shift gears when the needs change. You love solving difficult problems and exploring many areas within data.
You are naturally curious. You love diving into new challenges, figuring out how we can set up solutions that allow us to solve stakeholder problems.
You love (written) documentation. You have seen the value of documentation in organizations and push it forward across infrastructure, tooling and data models. You write down your course of action before engaging in any serious work to think things through. We are big fans of Requests For Comments and engage the wider engineering organisation for input.
You (over-) communicate. You love engaging with stakeholders and solving their problems. You need little to no help when driving business outcomes and communicating proactively to your team and stakeholders.
You’re a proud data nerd. You’re innately technical and have a knack for learning new tools. You have experience writing complex SQL on raw data, have expert-level knowledge of common cloud data warehouses, can manipulate data pipelines and schedulers with python, and have strong opinions about each.
Benefits
Salary matching your experience and market value.
Generous stock options: We want everybody to be a true owner of Gigs (tax-free until exercised).
Visa sponsorship is available and your relocation will be covered.
Free phone and data plan
Flexible working hours: We use meetings when needed and not per default.
Get your perfect setup: Mac, Mechanical Keyboard, Plugins, IDE. We are flexible and cover whatever you need to do the best work of your life.
A workplace built for remote-first work: We are building Gigs as a remote-friendly company. Take, own and implement decisions to build Gigs from scratch. You can join us in Berlin, or work from wherever you like. If you are based in Berlin, you can work from our office, or from the comfort of your home.
Gigs Pads: Our collection of beautiful homes around the world, for when you need a work-cation getaway.
Gigs Republic: Our semi-annual sunny offsite, a time for us to all come together for great food, lots of laughter, and leisurely activities.