Senior Data Engineer

Amsterdam, Netherlands

Applications have closed

Adevinta

Adevinta creates perfect matches on the most trusted leading online marketplaces that help everyone and everything find new purpose.

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Company Description

Marktplaats in The Netherlands, and 2dehands and 2ememain in Belgium, are part of Adevinta: a global online classifieds specialist with marketplaces in 16 regions. The three brands are hosted on a multi-tenant platform, operated from our Amsterdam location, and are the top players in the classifieds space throughout the Benelux region. We run on both Android and iOS apps, and on the web.

We offer consumers the opportunity to trade their unwanted products and contribute to a greener, circular economy. We offer businesses - of all sizes, from the smallest hobbyist to the biggest brands in Benelux - a platform to showcase their goods and services online to over 11 million monthly unique users.

Adevinta is recognised as a sustainability leader and is one of only six companies listed in the Media & Entertainment industry group on the Dow Jones Sustainability Index (DJSI) Europe.

We are seeking a professional individual to join our team as a Senior Data Engineer!

Job Description

The role is open for candidates with varied levels of experience - we care that you are passionate about data and machine learning, that you have a strong focus on execution, delivery and customer impact, and that you craft code that is understandable, simple and clean.

You will join a growing team of knowledgeable and talented Data Engineers to develop large-scale ML and Analytics initiatives, currently transitioning to a public cloud-based infrastructure. You will work closely with our Machine Learning, Data Science and Analytics teams, as well as our platform and product teams.

We expect you to contribute to the architecture of our system, and help to make it more scalable and resilient. As part of our team, we want you to spot opportunities to improve the development work in all areas from coding and processes, to tools and testing.

What you can expect from us:

  • A collaborative, informal, international and playful work environment with multi-disciplinary teams.
  • Managers and colleagues who are invested in your growth as a data professional and as a person.
  • Work with cutting-edge Analytics and ML stacks, managed and open source. Including technologies such as Spark, Airflow, MLFlow, Flink, Kubernetes, Nomad, Elasticsearch, and Cassandra.
  • Deal with petabytes of structured and unstructured data that is used across our products and business.
  • Continuous Deployment through multiple environments to get rapid feedback about your work.
  • Work on some of the most beloved brands in the Netherlands and Belgium.


About the team

The Data Engineering team is responsible for driving new data capabilities and maintaining existing pipelines and tooling. It is a part of a newly formed Benelux Data organization, which also includes the Data Science and Product Analytics teams. The team is closely involved in the development of new ML products, experimentation, and insights. It is also responsible for evolving our ML operations tooling, and maintaining data pipelines.

Responsibilities:
* Be a key team member in development and design of new products
* Coach less experienced engineers
* Collaborate with your teammates on architecture decisions and solution design
* Continuously improve development work in all areas (coding, processes, tools, testing, etc.)
* Be responsible for the maintenance and stability of the data and ML infrastructure
* Work with your counterparts across the Adevinta group.

Qualifications

  • Experience in backend development (Scala or Python)
  • Experience in high traffic and/or distributed systems
  • Experience in cloud providers such as GCP/AWS.
  • Experience working with Data Scientists, Machine Learning pipelines and/or Analytics team
  • Experience in Big Data technologies such as Spark, Dataproc, and Hadoop
  • A degree in Computer Science or equivalent experience


Nice to have:

  • Experience in Kubernetes or Nomad
  • Experience in deploying, optimizing and maintaining Airflow, Kafka, Cassandra or Flink
  • Experience in ElasticSearch
  • Experience in Machine Learning lifecycle, CI/CD, MLOps

Additional Information

What you’ll get from us

  • Competitive compensation package
  • Opportunity to shape the way we work. Your feedback and opinions are valued at all levels of the organisation
  • Benefits including stock purchase plan and annual bonus plans
  • Flexibility to work when and how you want - flexible hours, autonomy to set your own agenda, choice of phone and computer
  • Smart Working Policy - work remotely some of the time, balanced with time in the office together with your team.
  • ‘Work from anywhere’ weeks - up to four weeks working from anywhere, as long as you have an internet connection!
  • Career development, including language classes and Adevinta Academies: specialised content built by our experts on Machine Learning, Agile, Leadership and more26 days of holidays
  • Commuter allowance
  • Subsidised gym membership + monthly massage 
  • Life insurance, retirement plan and generous family leave

Additional Information

Adevinta is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.  

If you feel like you don’t meet all of the requirements for this role but are interested, please consider applying anyway. Research suggests that women and individuals from underrepresented groups may self-select out of opportunities if they don’t meet 100% of the job requirements. We strongly encourage people from historically excluded groups to apply and look forward to speaking with you.

Tags: Agile Airflow Architecture AWS Big Data Cassandra CI/CD Computer Science Data pipelines Dataproc Distributed Systems Elasticsearch Engineering Flink GCP Hadoop Kafka Kubernetes Machine Learning MLFlow ML infrastructure MLOps Open Source Pipelines Python Research Scala Spark Testing Unstructured data

Perks/benefits: Career development Competitive pay Fitness / gym Flex hours Home office stipend Insurance Salary bonus Startup environment

Region: Europe
Country: Netherlands
Job stats:  2  0  0
Category: Engineering Jobs

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