milesjag

The legal basis is there to protect wildlife from man-made disruption and provides a kind of ecological basis to limit the kind of boundless growth that politicians appeal to.

Unfortunately, for those laws to be effective, they have to be strong enough to beat the various legal shenanigans / loopholes which can be used by developers to effortlessly leapfrog them.

Finally, if the laws are strong enough, they might be effortlessly wielded to prevent even reasonable developments from occurring.

The law lands somewhere in the middle and I think there are always people at either extreme trying to take advantage.

As the position is for a lead engineer, it wouldn't be unusual for applicants to have ideas or a view on more recent developments in this technology area and/or it's application to this particular problem space...that's all I'll say

LEGO | London (Farringdon) | Hybrid (3 days a week in the office)

* Lead engineer on the personalisation / recommendation engine

* Python, Node JS / TS, Databricks, Aurora RDS, AWS, API Gateway

* Experience required in both data engineering and back-end engineering spaces

* Experience welcome in ML engineering and data science spaces

I've worked on this team for a year or so now and it's fair to say that there's been no shortage of things to work on - you'll be immersed in the challenge of computing and distributing personalised recommendations across the business via operational and analytical workloads.

You will also become a part of a company which adopts a lot of the nice danish working practices (family first).

The office culture is an important aspect of the business so 3 days a week is a needs-must.

If this sounds like your bag - apply :)

bandcamp is a bit more of a level playing field - the artists can decide whether they want to use the platform to stream or sell their music, while being given some control over the number of streams per listener before a song will be unavailable to stream (although this does lean on cookies, I think, so not difficult to get around...)

Wow - that sunroof thing is cool, I bet that was a fun area to work on.

There’s a lot to be said for data engineering when done at scale - systems design, devops, cloud engineering etc.

I’m not sure that’s going yet…

Building the individual units (reliable ETL pipelines) might be on the chopping block in the near future - I’m not convinced there’s 100 competing ways to build these.

Still - best way to get started is probably to get stuck in with running a data pipeline using a locally deployed Airflow instance. Read some data from some api and write it to a local database deployment (postgres?).

May I ask the same of web application development?

Hello from the other side :)

1 - I feel like more bespoke interfaces could be amazingly useful in the data world.

2 - Data engineering doesn’t really get me building creatively.

3 - Getting 3 languages to play ball (and that’s front-end only) sounds crazy challenging.

Data projects are nightmares but it is good exposure to the messiness of the real world. Have you had a chance to dig into DE much yet?

Longtime data engineer - web apps in vanilla HTML/CSS/JS with Node - and some fun with ncurses in C++. Copilot is helping me out a bit but I’m having fun!

Alan Moore’s Watchmen - it’s hardly under the radar but it’s a breath of fresh air for novel die-hards

The practical advantages of tiny dumb phones outweigh the technical disadvantages. There are 2 kinds of trip:

A - I travel across the city to visit friends/family/work or go somewhere far but familiar.

B - I travel across the country or for an extended period of time.

A dumb phone will cover A and a smart phone will cover B. The switching of sims is a non-issue as situation A covers almost all of the time.

For exercise, I just found that eliminating the concern of what to listen to was the real gain

Some of the tools which have helped me rediscover my focus and discipline:

* Use the CLI for everything - reduce the amount of time you have a browser open

* An egg timer - use this every time a tedious task needs completing

* A dumb phone - small and minimal functionality, easy to forget about

* A watch - stop using your phone for checking the time

* Cook your own food - excellent use of time

* Exercise - no headphones, a gym provides background music and enough human contact to keep boredom at bay

* Long-form media - books, films, music

* Return to things you know you like - 'it is better to know one book intimately than to have read one hundred'

That's scarily intuitive - the sum of smaller efficiencies create more significant deficiencies in unintended places