JM Navarro jmnavarro

👗 ¿Dónde trabajarías?

Inditex no necesita presentacion: un reference global de retail y supply chain. Un éxito nacional que, en menos de 40 años, ha redefinido el mundo de la moda. Pocas empresas ofrecen un impacto tan global y en una industria que llega a tanta gente. Y ahora, repitiendo el mismo éxito en los canales digitales.

📱 ¿Qué buscamos?

Un/a Ingeniero/a de Software iOS Senior que sea el/la Team Lead de un squad formado por de 3 ingenieros/as iOS, 3 backenders y un QA. Serás la referencia técnica en iOS dentro de este squad, aportando tu experiencia y conocimientos sobre la arquitectura de la app, técnicas de testing, frameworks reactivos (o no) a utilizar, etc.

Who are we?

At urbanData Analytics, domain experts and engineers team up to provide consultancy services and develop software and data products for the Real Estate industry, one of the few big sectors still on its way to being fully digitalized.

From a technical standpoint, our stack goes all the way from our big data and machine learning engines to our web and Excel (believe it or not, we are really proud of this one!) frontends. You can learn more about how we work by watching this talk (or this other one in Spanish).

Since 2019, uDA has been part of Alantra, the main advisory team for financial institutions, platforms, investors and credit and real estate transactions. With a presence across southern Europe, uDA plans to expand its business and services to the rest of the continent. However, we still keep that spirit of the small, remote-friendly company based out of Madrid that we have been.

What are we

Who are we?

At urbanData Analytics, domain experts and engineers team up to provide advisory services and develop software and data products for the Real Estate industry, one of the few big sectors still on its way to being fully digitalized.

From a technical standpoint, our stack goes all the way from our big data and machine learning engines to our web and Excel (believe it or not, we are really proud of this one!) frontends. You can learn more about how we work by watching this talk (or this other one in Spanish).

We are a relatively small, remote-friendly company based out of Madrid. Recently, we became part of Alantra Group. As a consequence of that we are continously growing our technical and consulting teams and reach for a few ripe markets already on our radar sooner than later while still running our business with the same energy and independence as usual.

What are we looking for?

PostgreSQL EXPLAIN

Taller para el Open Space de WeCodeFest 2020.

Ejemplos tomados de: https://public.dalibo.com/exports/conferences/_archives/_2012/201211_explain/understanding_explain.pdf

Preparación del taller

Si queréis seguir el taller con vuestro ordenador, lo primero es instalar PostgreSQL si no lo tenéis. Lo más fácil y limpio:

Who are we?

We're urbanData Analytics, a BigData & Machine Learning company settled in Madrid. They're not buzzwords, we use all of them every-single-day. If you want to know a bit more about us, you can watch this talk (or this other one in Spanish).

We develop software, data, and services for Real Estate industry, trying to provide a bit of light and transparency to a traditionally opaque sector. So we're on the wave of PropTech, one of the few big sectors on his way to being fully digitalized.

What are we looking for?

A Head of Big Data Engineer for our data team, mainly working on pipelines that process a huge amount of data.

Who are we?

At urbanData Analytics, domain experts and engineers team up to provide consultancy services and develop software and data products for the Real Estate industry, one of the few big sectors still on its way to being fully digitalized.

From a technical standpoint, our stack goes all the way from our big data and machine learning engines to our web and Excel (believe it or not, we are really proud of this one!) frontends. You can learn more about how we work by watching this talk (or this other one in Spanish).

We are a relatively small, remote-friendly company based out of Madrid. Recently, we got some funding, as a way for us to speed up the pace to grow our technical and consulting teams and reach for a few ripe markets already on our radar sooner than later while still running our business with the same energy and independence as usual.

	import Foundation

	let prices = "[\"10\", \"5\", \"null\", \"20\", \"0\"]"

	infix operator \|>: AdditionPrecedence

	func \|><T, U, V>(_ firstStep: @escaping (T) -> U, _ secondStep: @escaping (U) -> V) -> (T) -> V {
	return { t in
	secondStep(firstStep(t))
	}

	var number: Int?

	number.flatMap {
	// this is never executed
	print($0)
	}

	number = 1

	number.flatMap {

	// This is the link between the model and the view
	// Mascot <-> MascotTableViewCell
	extension CollectionType where Generator.Element == Employee {

	func elementByPosition(position: Int) -> Self.Generator.Element? {
	// dirty hack. It's already implemented in Array subscript with O(1) instead of O(n)
	var i = 0
	for e in self {
	if i++ == position {
	return e

	/*
	* Handles the scenario when you have concurrent operations using
	* the same activity indicator. Without care, this leads to stop the
	* indicator when the first operation ends:
	* Start A
	* Start B
	* Start C
	* Finish B -> without this extensions, the indicator will be stopped here
	* Finish C
	* Finish A -> with this extensions, the indicator will be stopped here