Ankorstore

DataOps Engineer

Ankorstore

Remote job description

Ankorstore is an ecosystem that enables independent brands and retailers to thrive.

We're on a mission to rewild retail and restore it to its natural order by empowering brands and retailers to grow freely, embrace their creativity, and stay competitive.

Our platform harnesses the power of technology to create a mutually beneficial community that reinvents the way brands and retailers work together.

With decades of experience in retail and building marketplaces, in 2019 the Ankorstore founding team knew it was time to create a global wholesale solution to swing the balance in favor of independents and return them to their rightful place - at the centre of their communities.

Just two short years later, we've grown to a team of over 650 employees operating across seven offices worldwide, and we'll grow even more in 2022. After fundraising in January 2022, taking our total funding to ?365 million, Ankorstore is thrilled to have achieved "unicorn" status in just two years.

  • We're scaling fast and looking to grow our team with world-class candidates to support our vision of rewilding retail!
  • What you will do as a DataOps Engineer at Ankorstore
  • Design and build our data mesh platform.
  • Batch layer (Airflow, Stitch, SQL, Spark)
  • Speed layer (Kafka, KafkaStream, KSQL, Kafka Connect)
  • Platform (GCS, BigQuery, Fast API, K8S, Docker, IAC with Pulumi, Github Action, GCP Cloud Logging & Metrics)
  • Define technical guidelines for Data Users (BI, Data Science, Data Analysts and Squads).

You will be reporting to the Engineering Manager on the following responsibilities:

  • Collaborate with Business Intelligence, Data Science, Data Analysts and Tech teams to build a reliable data platform.
  • Collaborate with other DevOps on infrastruture guidelines, best practices, CI/CD, monitoring...
  • Implement a data Infrastructure and solve issues on our product by writing maintainable, scalable and well-tested code
  • Review pull requests made by other engineers and provide feedback that everybody can learn from
  • Share knowledge with your colleagues and learn from them
  • Help us to define and follow the best Devops practises
  • Provide support for the Infrastructure you ship
  • Why you should join Ankorstore
  • It's a once in a life-time opportunity to join one of the fastest growing European startups
  • Our ambitious, mission-driven team is backed by proven VC funds (Tiger Global, Bain Capital)
  • We have strong values, and international culture and work in English only
  • Our environment is highly dynamic, we're scaling quickly and currently at a stage where you will be able to shape the future of the organisation
  • We have strong people-investment values and offer many exciting career opportunities, locally and internationally.
  • Our compensation and benefits are competitive in the market
  • We offer the possibility to work remotely, in the office or hybrid across many countries in Europe
  • We also encourage continuous learning & growth and give unlimited access to the e-learning platform Udemy
  • Job requirements

Mandatory:

  • DevOps mindset (CI/CD, Unit test, Monitoring, alerting, IaC)
  • DataEng mindset (pipelines idempotency & commutativity)
  • An experience with a Service Oriented Architecture & Event bus
  • An experience with a Kafka ecosystem (Schema registry, kafka connect, debezium...)
  • An experience on a Cloud Provider (GCP, AWS, Azure)
  • An experience with an IaC solution (Terraform, Pulumi, CloudFormation...)
  • An experience in NoSql column oriented databases (Bigquery, Redshit, Snowflake, ClickHouse...) or a Presto like solution (Athena...)
  • An experience in other NoSql databases
  • Mastered K8S
  • Mastered Docker
  • Mastered Git
  • English fluent

Nice to Have:

  • An experience with Airflow and batch processing or Machine Learning pipelines (Kubeflow...)
  • An experience with Spark & parquet (Hadoop)
  • An experience with a Lakehouse solution (deltalake, hudi)
  • An experience with Elasticsearch to build a website search solution
  • Recruitment process
  • 1st call with the Talent Acquisition Partner
  • 2nd call with the Technical Team
  • 3rd call with the Engineering Manager

Ankorstore is proud to be an equal opportunity workplace dedicated to promoting diversity. We don't discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.




Summary
Company name: Ankorstore
Remote job title: DataOps Engineer
Job tags: marketplace, smb

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