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Data Engineer (London, UK)



Parkopedia was founded with the mission of being able to answer any parking question, anywhere in the world.

Today, Parkopedia is the world’s leading digital parking services provider used by millions of drivers and organisations such as Apple, TomTom and 18 automotive brands ranging from Audi to Volkswagen.

We are looking for a Data Engineer to help support our Data Science team’s ingestion, ETL and infrastructure, which is currently responsible for making sense of over a billion data points per day! Handling large amounts of diverse data presents a real challenge and is a great opportunity to work with the cutting edge tools to solve the problem. We are a small team and there is a lot of scope to be creative and to come up with ideas that will help the Data Science team to perform their work even better.

Do you have deep love for engineering, do you want to be in a machine learning and data science ecosystem and do you get a kick from delivering great code in production? Then this job is for you! You'll enjoy being a valued member of the team where your opinion counts and you'll feel at home working with extremely bright colleagues where learning is a top priority. As we already ingest large amounts of real data that you will get to work with from day one, you will be able to make a significant impact on our current and future products that are used by millions of drivers around the world.

We are a global team with this role based in our London office, which is a short walk from London Bridge.


  • Run the initial ETL of data and help build pipelines and prepare the data for research
  • Develop automated CI/CD pipelines for Machine Learning products
  • Build and configure monitoring tools and dashboards
  • Champion software best practices, including mentoring junior engineers and data scientists


We are really open to different backgrounds, as what we do is pretty unique, however you really need to have the following as the base:

  • Minimum of 2 years professional software or data engineering experience or a PhD in a relevant subject
  • Strong computer science background
  • Data oriented engineer, attentive to details
  • Extensive experience in Python

Also you will have experience with several of the following technologies:

  • Thorough knowledge of the Python data science/engineering ecosystem (e.g. Pandas, Numpy)
  • Experience with PySpark
  • Experience with cloud providers, ideally AWS
  • Experience with web application frameworks (e.g. WSGI, Flask)
  • Experience with Docker, ideally with docker-compose as well as ECS
  • Experience with Scala (e.g. Spark, Akka, Play)
  • Experience with workflow management tools, ideally Apache Airflow
  • Experience with setting up CI/CD pipelines, ideally in an ML environment

We are an equal opportunities employer and believe in the power of a diverse and inclusive team. We welcome applications from everyone, regardless of race, sex, disability, religion/belief, sexual orientation or age.


Parkopedia is committed to building a great work environment for all our employees. Here are just a few of the benefits that we offer

  • Unlimited annual leave - yup, time off is as important as time in the office, we all need to unwind and recharge our batteries!
  • Flexible working hours
  • Work from home
  • Training allowance
  • Pension plan
  • Annual company team trip
  • Gym membership
  • Time off for volunteering
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