Senior Data Engineer

Amsterdam Wibautstraat

Adevinta

Adevinta is a leading online classifieds group, operating 25+ digital marketplaces across Europe and beyond.

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Marktplaats in The Netherlands, and 2dehands and 2ememain in Belgium, are part of Adevinta: a global online classifieds specialist. 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 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.

What you’ll do ​& Who you are

The role is open for candidates with varied levels of experience - we care that you are passionate about data engineering and product development/enabling (ML Engineering, Data Warehousing, etc.),  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 a large-scale platform, data pipelines, MLOps and Analytics initiatives working in AWS and Databricks. 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 caring work environment with multi-disciplinary teams.

  • Managers and colleagues who are invested in your growth as a data professional and as a person.

  • Work in cross-functional teams alongside Data Scientists, Backend Devs and Product Analysts creating products with a clear measurable impact.

  • Work with cutting-edge Analytics and ML stacks, in Databricks and AWS. Including technologies such as Spark, Airflow, MLflow, Unity Catalogue, and Mosaic AI.

  • Work on some of the most beloved brands in the Netherlands and Belgium.

About the team

The Data Engineering Team is a guild of Data Engineers that get embedded in our product teams to facilitate the usage of our data platform to improve Marktplaats’ services and products. The data engineers enable the product teams in the company to make use of our platform to deploy ML models, create datasets, and run experiments (between others) while complying with our governance policies to guarantee the security and proper usage of Marktplaats’ data. As part of a product team, a Data Engineer will learn in depth the business context of the domain and both create solutions that are specific to the domain’s needs and report issues and missing capabilities to the Platform Team for their investigation and feature planning.

Responsibilities:

  • Work in the Data Engineering Team building shared assets and solutions for common problems identified in our Product Teams.

  • Work embedded in cross-domain teams enabling their ability to create, deploy and maintain data products (ML models, microservices, curated datasets or tooling, depends on the team)

  •  Be a key team member in development and design of new products that add value to our internal and external users

  • Collaborate with a cross functional team in an agile environment

  • Continuously improve development work in all areas (coding, processes, tools, testing, etc.)

Qualifications:

  • Experience in backend development (Scala, Python preferred)

  • Experience in high traffic and/or distributed systems

  • Experience in cloud providers (AWS preferred)

  • Experience working with Data Scientists, Data Warehouse and/or Analytics team

  • Experience in Big Data technologies such as Spark and Airflow

  • A degree in Computer Science or equivalent experience

Nice to have:

  • Experience in Scala, Java 

  • Experience in Databricks

  • Experience in ElasticSearch and/or Cassandra

  • Experience in Machine Learning lifecycle, MLOps

 

Benefits

Life at Adevinta comes with its perks! Our Adevintans enjoy the following benefits:

  • An attractive Base Salary 💸

  • Participation in our Short Term Incentive plan (annual bonus) 🏆

  • Work From Anywhere: Enjoy up to 20 days a year of working from anywhere! Maybe not from the moon🌛well why not! just make sure you have internet connection! 🌍

  • A 24/7 Employee Assistance Program for you and your family, because we care ❤️

  • Win together, lose together is one of our key behaviours. At Adevinta you will find a collaborative environment with an opportunity to explore your potential and grow 🌱

On top of these, we also provide a range of locally relevant benefits. Wanna know more? Apply and ask our recruiters! ✨

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile Airflow Architecture AWS Big Data Cassandra Computer Science Databricks Data pipelines Data warehouse Data Warehousing Distributed Systems Elasticsearch Engineering Java Machine Learning Microservices MLFlow ML models MLOps Pipelines Python Research Scala Security Spark Testing

Perks/benefits: Career development Salary bonus Startup environment

Region: Europe
Country: Netherlands

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